2018年第8期共收录51篇

1. Effects of Dynamic High Pressure Microfluidzation on Property of Soybean Dietary Fiber from Biological Dissociation

Accession number: 20184406012699

Title of translation: 高压微射流对生物解离大豆膳食纤维特性的影响

Authors: Wang, Huan (1); Tong, Xiaohong (1); Liu, Ling (1); Li, Hong (1); Hu, Miao (1); Jiang, Lianzhou (1)

Author affiliation: (1) College of Food Science, Northeast Agricultural University, Harbin; 150030, China

Corresponding author: Jiang, Lianzhou(jlzname@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 346-352

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The objective was to study the effects of biological dissociation and dynamic high pressure microfluidization (DHPM) on composition, physical and chemical properties and functional characteristics of soybean dietary fiber. The results showed that DHPM produced an increase of soluble dietary fiber (SDF) and a decrease of insoluble dietary fiber (IDF), and raised the IDF/SDF ration to 1.87; in addition, by comparing the contents of the remaining components of the biodissociated soybean dietary fiber with different treatment pressures, it was found that DHPM had no significant effect on the water content of the biodissected dietary fiber (P>0.05). DHPM also modified hydration propeities and oil holding capacity greatly, but it did not affect cation exchange capacity significantly; under the condition with pH value of 7, the difference of the adsorption capacity of heavy metal in dietary fiber with different pressures was not significant, and the adsorption effect of dietary fiber on the same heavy metal ion at pH value of 7 was higher than that at pH value of 2. The absorption of glucose by dietary fiber was increased with the increase of treatment pressure, and it was decreased slightly at 200 MPa. The glucose absorption capacity of dietary fiber treated with different pressures was increased with the increase of glucose concentration; the highest α-amylase inhibitory capacity was 18.42% from dietary fiber, which was increased by approximately 36%, 32%, 28% and 27%, respectively, in dietary fiber samples treated from 0 MPa to 150 MPa. The sample showed a higher bile acid binding capacity. Therefore, DHPM could be considered as good methods to improve the functionality of dietary fiber in soybean. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 39

Main heading: Fibers

Controlled terms: Dissociation? - ?Glucose? - ?Heavy metals? - ?High pressure effects? - ?Ion exchange? - ?Metal ions? - ?pH

Uncontrolled terms: Dietary fibers? - ?Dynamic high-pressure microfluidization? - ?Functional properties? - ?Physicochemical property? - ?Soluble dietary fiber

Classification code: 531 Metallurgy and Metallography

Metallurgy and Metallography

? - ?531.1 Metallurgy

Metallurgy

? - ?801.1 Chemistry, General

Chemistry, General

? - ?802.2 Chemical Reactions

Chemical Reactions

? - ?804.1 Organic Compounds

Organic Compounds

Numerical data indexing: Percentage 1.84e+01%, Percentage 2.70e+01%, Percentage 2.80e+01%, Percentage 3.20e+01%, Percentage 3.60e+01%, Pressure 0.00e+00Pa to 1.50e+08Pa, Pressure 2.00e+08Pa

DOI: 10.6041/j.issn.1000-1298.2018.08.041

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

2. Comparison of Physicochemical Properties of Magnetic Biochar-based Composites Prepared by Pyrolysis of Wheat Straw and Sawdust

Accession number: 20184406012692

Title of translation: 麦秸与木屑热解制备磁性生物炭基材料理化性质研究

Authors: Guo, Xiaohui (1, 2); Kang, Kang (1, 2); Wang, Yajun (1, 2); Liu, Qianqian (1, 2); Qiu, Ling (1, 2)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling; Shaanxi; 712100, China; (2) The West Scientific Observing and Experimental Station of Rural Renewable Energy Exploitation and Utilization, Ministry of Agriculture, Yangling; Shaanxi; 712100, China

Corresponding author: Qiu, Ling(xbgzzh@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 293-300

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Magnetic biochar-based composites were prepared by the methods of impregnation, chemical precipitation and anoxic pyrolysis using wheat straw and poplar sawdust as raw materials respectively. The effects of loading iron were studied at different pyrolysis temperatures based on the physiochemical characteristics. The results showed that the iron in the composites mainly existed in the forms of Fe3O4, and the outer layer content was higher than that in the inner layer. The loading-iron treatment accelerated the dehydrogenation and deoxygenation processes during biomass pyrolysis, and the influence tended to augment with increasing temperature. At the temperature of 300~600, the contents of ash in the biochar derived from wheat straw and sawdust was increased by loading iron within the ranges of 28.8~34.4 percentage points and 39.1~47.6 percentage points, respectively. Both of the fixed-carbon content and calorific value were reduced. The specific surface area and total pore volume were increased by loading iron within ranges of 10.67~72.24 m2/g, 0.039 8~0.093 1 cm3/g and 15.43~105.14 m2/g, 0.010 4~0.078 9 cm3/g, respectively. The average pore size was decreased. Different effects on the content of volatile matter of the wheat straw and sawdust derived biochars were indicated as well as on the pH values. The volatile content of wheat straw derived magnetic biochar was increased by 5.2~13.2 percentage points, while for the sawdust, the volatile content was reduced by 17.4 percentage points at 300, and then increased by 8.5~22.2 percentage points during 400~600. The pH value was decreased by 0.04~1.49 for the former but increased by 0.33~1.93 for the latter. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 32

Main heading: Loading

Controlled terms: Iron? - ?Iron oxides? - ?Magnetism? - ?Magnetite? - ?pH? - ?Pore size? - ?Precipitation (chemical)? - ?Pyrolysis? - ?Sawdust? - ?Straw

Uncontrolled terms: Bio chars? - ?Chemical precipitation? - ?Increasing temperatures? - ?Magnetic composites? - ?Physicochemical property? - ?Physio-chemical? - ?Wheat straw and sawdusts? - ?Wheat straws

Classification code: 545.1 Iron

Iron

? - ?691.2 Materials Handling Methods

Materials Handling Methods

? - ?701.2 Magnetism: Basic Concepts and Phenomena

Magnetism: Basic Concepts and Phenomena

? - ?801.1 Chemistry, General

Chemistry, General

? - ?802.2 Chemical Reactions

Chemical Reactions

? - ?802.3 Chemical Operations

Chemical Operations

? - ?804.2 Inorganic Compounds

Inorganic Compounds

? - ?811.2 Wood and Wood Products

Wood and Wood Products

? - ?821.5 Agricultural Wastes

Agricultural Wastes

? - ?951 Materials Science

Materials Science

Numerical data indexing: Specific_Surface_Area 1.07e+04m2/kg to 7.22e+04m2/kg, Specific_Surface_Area 1.54e+04m2/kg to 1.05e+05m2/kg

DOI: 10.6041/j.issn.1000-1298.2018.08.034

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

3. Design and Optimization of Intelligent Irrigation Decision System in Litchi Orchard Based on Fuzzy Controller

Accession number: 20184406012661

Title of translation: 荔枝园智能灌溉决策系统模糊控制器设计与优化

Authors: Xie, Jiaxing (1, 2); Gao, Peng (1); Mo, Haofan (1); Yu, Guoxiong (1, 3); Hu, Jie (1); Wang, Weixing (1, 4)

Author affiliation: (1) College of Electronic Engineering, South China Agricultural University, Guangzhou; 510642, China; (2) Guangdong Modern Agricultural Science and Technology Innovation Center for Intelligent Orchard, Guangzhou; 510642, China; (3) China Mobile Group Guangdong Co., Ltd., Jiangmen Branch, Jiangmen; 529030, China; (4) Guangdong Engineering Research Center for Monitoring Agricultural Information, Guangzhou; 510642, China

Corresponding author: Wang, Weixing(weixing@scau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 26-32 and 58

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problem about the serious waste of water resources for irrigation in litchi orchard, a fuzzy expert system was designed based on wireless sensor network according to the existing equipment conditions, and the fuzzy controller was optimized in order to improve the performance of this system. In this system, the environment information of litchi orchard was collected from sensor nodes through gateway nodes in real time. The error and changing rate of measured water content of soil and optimum moisture content of soil were selected as the decision factors and the results of forecasting irrigation values were obtained. The effectiveness of the system was analyzed by Matlab simulation and field test. Simulation results showed that this intelligent irrigation system based on the basic fuzzy controller can be combined with the timely and proper irrigation and it realized the economic irrigation effectively. And the optimized fuzzy irrigation system had better transient performance, control precision and anti-jamming, and the system response time was faster. Test results showed that the intelligent irrigation system based on the basic fuzzy controller can control the irrigation in litchi orchard effectively. It kept the soil moisture content at 17.8% in litchi orchard, which was good for the growth of litchi. The intelligent irrigation system based on the optimized fuzzy controller was able to control the average soil moisture content in litchi orchard at 17.6%, which was closer to the optimal soil moisture content of litchi orchard in the system. And it had a higher control accuracy, as well as stronger anti-interference and practicality. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Controllers

Controlled terms: Expert systems? - ?Fuzzy control? - ?Gateways (computer networks)? - ?Irrigation? - ?MATLAB? - ?Moisture determination? - ?Orchards? - ?Sensor nodes? - ?Soil moisture? - ?Water content ? - ?Water management

Uncontrolled terms: Design and optimization? - ?Environment information? - ?Intelligent irrigation systems? - ?Intelligent irrigations? - ?Litchi orchards? - ?Optimum moisture content? - ?Simulation? - ?Transient performance

Classification code: 483.1 Soils and Soil Mechanics

Soils and Soil Mechanics

? - ?722 Computer Systems and Equipment

Computer Systems and Equipment

? - ?723.4.1 Expert Systems

Expert Systems

? - ?731 Automatic Control Principles and Applications

Automatic Control Principles and Applications

? - ?732.1 Control Equipment

Control Equipment

? - ?821.3 Agricultural Methods

Agricultural Methods

? - ?921 Mathematics

Mathematics

? - ?944.2 Moisture Measurements

Moisture Measurements

Numerical data indexing: Percentage 1.76e+01%, Percentage 1.78e+01%

DOI: 10.6041/j.issn.1000-1298.2018.08.003

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

4. Development and Prospect of Key Technologies on Agricultural Tractor

Accession number: 20184406012659

Title of translation: 农业拖拉机关键技术发展现状与展望

Authors: Xie, Bin (1); Wu, Zhongbin (1); Mao, Enrong (1)

Author affiliation: (1) Beijing Key Laboratory of Optimized Design for Modern Agricultural Equipment, China Agricultural University, Beijing; 100083, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 1-17

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: As the core equipment of agricultural machinery, the tractors are rapidly becoming of increasing importance to agriculture. The technical advance of tractor products reflects the degree of national agricultural mechanization and the level of agricultural modernization. In recent years, novel structures and devices have been emerging on tractors, of which the technical level is constantly improved, and the overall performance keeps enhancing with the extensive application of various new technologies. Based on the analysis of the tractor development world-widely, the urgency and necessity of tractors to achieve automation, intelligentization and informatization were proposed. The latest researches on agricultural tractors in engine emission controlling, new energy altering, power shifting, continuously variable driving, front axle suspending, cab comforting, hitch electrohydraulic controlling, bus networking and system informatization were summarized. Meanwhile, the basic principles and characteristics of related technologies of each system were expounded combining with the application of specific products. Considering the national situation, the development direction of tractor technology was prospected with a historical and in-depth review of its development process. The precision agricultural system, which integrated high efficiency, energy saving, environmental protection and intelligence, benefiting from the rapid developing technologies of cloud computing, big data and internet of things, was thought to be a new model of future agriculture. Accordingly, intelligent perception and decision, efficient driving and remote controlling of intelligent tractors, which played an important role in the precision agriculture, were speculated to be the new bright spot and direction of tractor technology development in the future. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 88

Main heading: Tractors (agricultural)

Controlled terms: Agriculture? - ?Big data? - ?Distributed computer systems? - ?Drive axles? - ?Energy conservation? - ?Environmental technology? - ?Front axles? - ?Remote control? - ?Tractors (truck)

Uncontrolled terms: Agricultural mechanization? - ?Agricultural modernizations? - ?Development directions? - ?Informationization? - ?Intelligence? - ?Intelligent perception? - ?Key technologies? - ?Technology development

Classification code: 454 Environmental Engineering

Environmental Engineering

? - ?525.2 Energy Conservation

Energy Conservation

? - ?663.1 Heavy Duty Motor Vehicles

Heavy Duty Motor Vehicles

? - ?663.2 Heavy Duty Motor Vehicle Components

Heavy Duty Motor Vehicle Components

? - ?722.4 Digital Computers and Systems

Digital Computers and Systems

? - ?723.2 Data Processing and Image Processing

Data Processing and Image Processing

? - ?731.1 Control Systems

Control Systems

? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Agricultural Equipment and Methods; Vegetation and Pest Control

DOI: 10.6041/j.issn.1000-1298.2018.08.001

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

5. Design of Synchronous Detection System of Missing Filling Seeds and Suction Hole Blocking Based on Beam Blocking for Small Vegetable Grains

Accession number: 20184406012672

Title of translation: 光束阻断式小粒蔬菜种子漏充与堵孔同步检测系统研究

Authors: Li, Zhaodong (1, 2); Sun, Yuning (1); Yang, Wenchao (1); Wang, Weiwei (1); Zhang, Tian (1, 2); Chen, Liqing (1, 2)

Author affiliation: (1) School of Engineering, Anhui Agricultural University, Hefei; 230036, China; (2) Laboratory of Engineering of Intelligent Agricultural Machinery Equipment, Anhui Province, Hefei; 230036, China

Corresponding author: Chen, Liqing(lqchen@ahau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 119-126

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In view of missing filling seeds and suction hole blocking in the seeding process of small grain vegetable seeds in the pneumatic seed metering device, an approach for synchronous detecting the missing filling seeds and suction hole blocking of small grain vegetable seeds was proposed. Using the external interrupt and timer interrupt resources of ARM embedded system, the detection system determined the rotation speed of planter plate with a rotary encoder and adjusted the time window and the theoretical pulse frequency in real time. Then, the detection system collected the output pulse of the laser sensor and obtained the actual pulse frequency. By calculating the theoretical pulse frequency and the actual pulse frequency, the rate of missing filling seeds and rate of suction hole blocking were measured synchronously and displayed on the touch screen. With a synchronous detection by high speed camera system, experimental research on pneumatic precision metering device was carried out with the detection system. The seeds of three kinds of vegetables, such as white radish, middle double 11 rape and Shanghai pakchoi, were selected as the research objects. The test factors were the speed of planter plate and vacuum degree of suction chamber, and the rate of missing filling seeds and rate of suction hole blocking were used as test indexes. Experimental results showed that the system can adjust the time window automatically according to the rotation speed of planter plate. The relative deviation of missing filling seeds rate was not more than 1.67%, and the relative deviation of suction hole blocking rate was not more than 0.95%. This detection approach effectively solved missing filling seeds and suction hole blocking synchronous detection of small grain vegetable seeds in real time and provided a basis for analyzing the cause of seed drain and seeding device improvement design. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Filling

Controlled terms: High speed cameras? - ?Pneumatic materials handling equipment? - ?Pneumatics? - ?Touch screens? - ?Vegetables

Uncontrolled terms: Beam blocking? - ?Hole-blocking? - ?Seed metering devices? - ?Small particles? - ?Synchronous detection

Classification code: 632.3 Pneumatics

Pneumatics

? - ?632.4 Pneumatic Equipment and Machinery

Pneumatic Equipment and Machinery

? - ?691.1 Materials Handling Equipment

Materials Handling Equipment

? - ?691.2 Materials Handling Methods

Materials Handling Methods

? - ?722.2 Computer Peripheral Equipment

Computer Peripheral Equipment

? - ?742.2 Photographic Equipment

Photographic Equipment

? - ?821.4 Agricultural Products

Agricultural Products

Numerical data indexing: Percentage 1.67e+00%, Percentage 9.50e-01%

DOI: 10.6041/j.issn.1000-1298.2018.08.014

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

6. Physical Characteristics of Red Jujube in Different Grades and Its Influence on Classification Results

Accession number: 20184406012696

Title of translation: 不同等级新疆骏枣物理特征及其对分级结果的影响

Authors: Wu, Mingqing (1, 2); Li, Chuanfeng (2); Luo, Huaping (2); Yi, Xiaokang (2); Shakeel, Ahmed Soomro (1); Chen, Kunjie (1)

Author affiliation: (1) College of Engineering, Nanjing Agricultural University, Nanjing; 210031, China; (2) College of Mechanic and Electrical Engineering, Tarim University, Alar; 843300, China

Corresponding author: Chen, Kunjie(kunjiechen@njau.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 324-330

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to provide scientific basis for selection of grading parameters of jujube and formulation of quantitative grading standards, the main characteristic parameters of jujube produced in Xinjiang were measured and statistically analyzed. The changes occurring between characteristic parameters and the variation of each characteristic parameter of red jujube were also correlated. The data were analyzed and processed by box diagram, correlation diagram, cluster diagram, variance analysis and error analysis. Through clustering method, eight characteristic parameters of jujube were divided into five types, and the parameter errors produced by grading of different characteristics were analyzed and calculated. The results showed that all nine characteristic parameters except density were significantly affected by grading. The grade of jujube was increased with the decrease of standard deviation whereas a significant linear relationship was observed for the characteristic parameters and grading. There were different degrees of correlation between all nine characteristic parameters, the correlation between the contour area and contour perimeter was observed to be the highest, followed by length and length of the contour. Besides quality, density and short diameter, the density and other parameters were negatively correlated. Calculating the average error rate for different grades of characteristic parameters, it was concluded that the results were different while using different characteristic parameters for grading, the highest rate of misclassification was observed for density whereas the lowest was observed for perimeter, the higher the average error rate was, the worse the classification effect was. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 20

Main heading: Grading

Controlled terms: Classification (of information)? - ?Cluster analysis? - ?Error analysis

Uncontrolled terms: Characteristic parameters? - ?Classification results? - ?Correlation analysis? - ?Correlation diagrams? - ?Linear relationships? - ?Misclassifications? - ?Physical characteristics? - ?Red jujube

Classification code: 716.1 Information Theory and Signal Processing

Information Theory and Signal Processing

? - ?723 Computer Software, Data Handling and Applications

Computer Software, Data Handling and Applications

DOI: 10.6041/j.issn.1000-1298.2018.08.038

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

7. Isolation, Identification and Inhibition of Pathogens from Red Pitaya Fruit during Storage

Accession number: 20184406012698

Title of translation: 红肉火龙果采后病原菌分离鉴定与植物精油抑菌研究

Authors: Liu, Ruiling (1, 2); Gao, Haiyan (1, 2); Chen, Hangjun (1, 3); Fang, Xiangjun (1, 3); Wu, Weijie (1, 4)

Author affiliation: (1) Food Science Institute, Zhejiang Academy of Agricultural Science, Hangzhou; 310021, China; (2) Key Laboratory of Post-harvest Handling of Fruits, Ministry of Agriculture, Hangzhou; 310021, China; (3) Key Laboratory of Fruits and Vegetables Postharvest and Processing Technology Research of Zhejiang Province, Hangzhou; 310021, China; (4) Key Laboratory of Postharvest Preservation and Processing of Fruits and Vegetables, China National Light Industry, Hangzhou; 310021, China

Corresponding author: Gao, Haiyan(spsghy@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 338-345

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Red pitaya fruit is highly susceptible to fungal infection during postharvest, causing quality deterioration and huge economic losses. This research was intended to isolate, purify and identify the pathogens which cause rotting of red pitaya during storage in Zhejiang Province, screen essential oils for controlling the pathogenic isolates, and test their effectiveness. HS3 and HS6 were identified as pathogens through isolation, purification and pathogenicity tests. These two strains were proved as F. proliferatum and C. fructicola by morphological identification and rDNA-ITS molecular identification. Six essential oils were investigated for their activity to control these pathogens. The result indicated that carvacrol, cinnamon and thyme oil showed complete inhibitory effect on all pathogens at a concentration of 2 000 μL/L. Then, the inhibitory effects of carcanol, cinnamon and thyme oil on these two pathogens were studied by direct contact in vitro and in vitro fumigation. It was found that carcanol showed higher antifungal activity against F. proliferatum and C. fructicola than cinnamon and thyme in the drug sensitivity test. Moreover, essential oil fumigation inhibited the decay incidence of pitaya fruit inoculated with F. proliferatum and C. fructicola during storage at 4 and carcanol showed the best effect. Carcanol oil seemed to be a promising potential fumigant. The results can provide reference for disease control during storage of red pitaya in Zhejiang Province. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Pathogens

Controlled terms: Controlled drug delivery? - ?Deterioration? - ?Disease control? - ?Essential oils? - ?Fruits? - ?Fumigation? - ?Losses? - ?Plants (botany)

Uncontrolled terms: Anti-fungal activity? - ?Antibacterial effects? - ?Isolation and identification? - ?Molecular identification? - ?Morphological identifications? - ?Postharvest decays? - ?Quality deteriorations? - ?Red pitaya

Classification code: 461.9 Biology

Biology

? - ?804.1 Organic Compounds

Organic Compounds

? - ?821.4 Agricultural Products

Agricultural Products

? - ?911.2 Industrial Economics

Industrial Economics

? - ?951 Materials Science

Materials Science

DOI: 10.6041/j.issn.1000-1298.2018.08.040

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

8. Effect of Enzymatic Species on Function and Bitterness of Enzyme-assisted Aqueous Extraction Soybean Protein Hydrolysates

Accession number: 20184406012702

Title of translation: 酶种类对生物解离大豆蛋白酶解物功能性和苦味的影响

Authors: Jiang, Lianzhou (1); Tong, Xiaohong (1); Liu, Baohua (1); Wang, Huan (1); Zhang, Qiaozhi (1); Li, Yang (1)

Author affiliation: (1) College of Food Science, Northeast Agricultural University, Harbin; 150030, China

Corresponding author: Li, Yang(liyanghuangyu@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 368-374

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Enzyme-assisted aqueous extraction process is a green oil extraction technology,which has advanced in recent years, may be a effective alternative technology to separate oil and protein from soybeans. It will be accompanied by cream, skim and residual fraction in the enzyme-assisted aqueous extraction process.The main component in the skim is soy protein hydrolysates. Different types of proteases (Alcalase, Neutrase, Papain, Bromelain, Flavourzyme, Protamex and Trypsin) were used to hydrolyze the extruded soybean flour. Different kinds of protein hydrolysates were used as the research objects. The structure of soybean protein hydrolysates was characterized by degree of hydrolysis, SDS-polyacrylamide gel electrophoresis, amino acid composition analysis and Fourier transform infrared spectroscopy. Solubility, emulsion activity index and emulsion stability index characterized the functional of the soy protein hydrolysates. The bitterness value of the soy protein hydrolysates was obtained by sensory evaluation. The results indicated that when using Alcalase for enzyme-assisted aqueous extraction, the highest oil extraction rate was 91.23% and the solubility of soybean protein hydrolyzate was 91.12%. However, the bitterness value of the hydrolyzate was increased greatly which was 4, the emulsion activity index and emulsion stability index were not good. When using Flavourzyme for enzyme-assisted aqueous extraction treatment, the oil extraction was 87.73% and the solubility was 87.12%. However, the bitterness of the hydrolyzates was only 1.5, thus the sensory evaluation was the best. And the hydrolyzates had the best emulsion activity index and emulsion stability index. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 31

Main heading: Hydrolysis

Controlled terms: Electrophoresis? - ?Emulsification? - ?Enzymes? - ?Extraction? - ?Fourier transform infrared spectroscopy? - ?Function evaluation? - ?Functions? - ?Sensory analysis? - ?Solubility? - ?Soybean oil

Uncontrolled terms: Alternative technologies? - ?Amino acid compositions? - ?Bitterness? - ?Enzyme-assisted aqueous extractions? - ?Protein hydrolysate? - ?SDS-polyacrylamide gel electrophoresis? - ?Soy protein hydrolysate? - ?Soybean protein hydrolysates

Classification code: 801 Chemistry

Chemistry

? - ?802.2 Chemical Reactions

Chemical Reactions

? - ?802.3 Chemical Operations

Chemical Operations

? - ?804.1 Organic Compounds

Organic Compounds

? - ?921 Mathematics

Mathematics

? - ?921.6 Numerical Methods

Numerical Methods

Numerical data indexing: Percentage 8.71e+01%, Percentage 8.77e+01%, Percentage 9.11e+01%, Percentage 9.12e+01%

DOI: 10.6041/j.issn.1000-1298.2018.08.044

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

9. Monitoring Technology of Farmland Soil Environment Based on Passive RFID Sensor Tag

Accession number: 20184406012680

Title of translation: 基于无源RFID传感标签的农田土壤环境监测技术研究

Authors: Deng, Fangming (1); Wu, Xiang (1); Li, Bing (2); Wang, Tao (2); Liu, Jun (1)

Author affiliation: (1) School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang; 330013, China; (2) School of Electrical Engineering and Automation, Hefei University of Technology, Hefei; 230009, China

Corresponding author: Wu, Xiang(13755633966@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 187-193 and 202

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The information of soil environment is one of the most important information parameters in precision agriculture. There are some disadvantages lie in current wireless sensor networks in agriculture, including long-time monitoring, environmental protection and tracking ability. According to these disadvantages, a novel wireless monitoring method was proposed based on radio frequency identification (RFID) sensor tag. The RFID sensor tag was based on ultra-high frequency (UHF) electronic product code (EPC) 2nd generation communication protocol and worked on a passive mode. A new method of data fusion was also proposed. Compared with the traditional data fusion method, the power consumption and response time of the system were significantly reduced. Because of the complex composition of farmland soil, the loss of electromagnetic wave transmission in farmland soil and the basic conditions for the normal work of the tag were determined. In view of the fact that the transmission accuracy of sensor labels was insufficient when the embedding depth was more than 30cm, two sensor tags at the same measurement point were proposed, and higher data transmission accuracy was obtained through the polarization direction of antennas. The communication performances and the temperature and humidity performances of the proposed sensor tag were tested in laboratory. The experimental results showed that the proposed sensor tag exhibited good consistence with conventional methods. The maximum error of the temperature test was not more than 1.5%, and the maximum error of the humidity test was not more than 1%. Compared with the existing soil environment monitoring methods, it had the advantages of convenience, low cost, long life and rapid positioning. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Wireless sensor networks

Controlled terms: Data fusion? - ?Electromagnetic waves? - ?Farms? - ?Monitoring? - ?Precision agriculture? - ?Radio frequency identification (RFID)? - ?Soils? - ?Wave transmission

Uncontrolled terms: Communication performance? - ?Electronic product codes? - ?Monitoring technologies? - ?Polarization direction? - ?RFID sensors? - ?Soil environment? - ?Temperature and humidities? - ?Ultra High Frequency (UHF)

Classification code: 483.1 Soils and Soil Mechanics

Soils and Soil Mechanics

? - ?711 Electromagnetic Waves

Electromagnetic Waves

? - ?716.3 Radio Systems and Equipment

Radio Systems and Equipment

? - ?723.2 Data Processing and Image Processing

Data Processing and Image Processing

? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Agricultural Equipment and Methods; Vegetation and Pest Control

Numerical data indexing: Percentage 1.00e+00%, Percentage 1.50e+00%, Size 3.00e-01m

DOI: 10.6041/j.issn.1000-1298.2018.08.022

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

10. Optimization of Drying Process Parameters of Solar Herbage Dry Equipment

Accession number: 20184406012671

Title of translation: 太阳能牧草干燥成套设备干燥工艺参数优化

Authors: Qian, Wang (1); Yang, Shikun (1); Liu, Guilin (1); He, Gang (1); Wang, Zhenhua (1); Du, Jianqiang (1)

Author affiliation: (1) Hohhot Branch of Chinese Academy of Agricultural Mechanization Sciences Co.,Ltd., Huhhot; 010010, China

Corresponding author: Yang, Shikun(yskun001@sohu.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 110-118

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Solar-thermal technology was widely applicated in the field of alfalfa drying already, Solar low temperature drying technology can minimize the loss of alfalfa nutrient compositions. The aim was to improve solar drying efficiency and optimize the drying process parameters of 9TGK-1.5 solar grass drying unit equipment. Firstly, the factors influencing the drying of alfalfa was studied. The experiment and analysis of the low temperature drying process of alfalfa were studied through drying test bed. The changing rules of drying temperatures, wind speeds, drying rates, drying base moistures and drying times were found out. The conclusion was obtained that in the first stage of drying process, the temperature can be chosen as 50, wind speed can be 1.5 m/s in order to save energy. When drying process in the second and third stages, in order to achieve the effect of rapid drying, the temperature can be chosen as 50, wind speed can be 2.5 m/s. Experiment results showed that the Page equation was consistent with the drying process of alfalfa. The fitting regression of drying model of alfalfa was completed. The optimized parameters were adopted to improve the efficiency of alfalfa by 34.4%. It can improve the effective control of aromatic amino acid volatilization and protein denaturation, and increase the content of crude protein and carotene in alfalfa hay. The research result provided an optimized basis for the design of the related parameters of solar drying technology and drying equipment. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Drying

Controlled terms: Low temperature drying? - ?Proteins? - ?Solar dryers? - ?Solar energy? - ?Temperature? - ?Wind

Uncontrolled terms: Alfalfa? - ?Drying process? - ?Experiment and analysis? - ?Nutrient composition? - ?Parameter optimization? - ?Protein denaturation? - ?Solar drying technology? - ?Solar thermal technology

Classification code: 443.1 Atmospheric Properties

Atmospheric Properties

? - ?641.1 Thermodynamics

Thermodynamics

? - ?657.1 Solar Energy and Phenomena

Solar Energy and Phenomena

? - ?802.3 Chemical Operations

Chemical Operations

? - ?804.1 Organic Compounds

Organic Compounds

Numerical data indexing: Percentage 3.44e+01%, Velocity 1.50e+00m/s, Velocity 2.50e+00m/s

DOI: 10.6041/j.issn.1000-1298.2018.08.013

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

11. Numerical Simulation of Soil Moisture Movement under Different Depths Irrigation for Winter Wheat

Accession number: 20184406012686

Title of translation: 冬小麦不同深度灌水条件下土壤水分运动数值模拟

Authors: Guo, Xianghong (1); Sun, Xihuan (1, 2); Ma, Juanjuan (1); Lei, Tao (1); Zheng, Lijian (1); Wang, Pu (1)

Author affiliation: (1) College of Water Resource Science and Engineering, Taiyuan University of Technology, Taiyuan; 030024, China; (2) Jinzhong University, Jinzhong; 030619, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 237-244 and 209

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In northern China, drought and shortage of water resources are very serious and have seriously affected the production of winter wheat. Choosing a reasonable irrigation method to improve the deep soil water use efficiency is of great significance to water saving and efficiency increase of winter wheat. The deep irrigation of winter wheat can promote deep rooting and improve water use efficiency. In order to quantitatively calculate soil moisture dynamics under deep irrigation conditions, the soil water movement models under different depths irrigation of winter wheat was established based on different depths irrigation experiments of winter wheat and the source terms of soil moisture equations were used to simulate different depths of irrigation. The model was solved by the finite difference method. The model was validated by the experimental data of winter wheat at different depths of irrigation. The results showed that the soil water content calculated by the model was in accordance with the dynamic change trend of the measured soil moisture content. The simulated and measured soil moisture contents were significantly related, the correlation coefficient was greater than 0.90, the maximum absolute error of the model was 0.023 cm3/cm3, the maximum of the average relative error was 8.22%, and the maximum value of the root mean square error was 0.3 cm3/cm3. Therefore, the model had higher simulation accuracy and can be used to simulate the distribution and dynamic changes of soil moisture in winter wheat under different irrigation depths. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 23

Main heading: Soil moisture

Controlled terms: Computer simulation? - ?Crops? - ?Efficiency? - ?Errors? - ?Finite difference method? - ?Irrigation? - ?Mean square error? - ?Moisture determination? - ?Numerical models? - ?Water conservation ? - ?Water content? - ?Water resources

Uncontrolled terms: Average relative error? - ?Correlation coefficient? - ?Maximum absolute error? - ?Root mean square errors? - ?Soil moisture dynamics? - ?Soil water movement? - ?Water use efficiency? - ?Winter wheat

Classification code: 444 Water Resources

Water Resources

? - ?483.1 Soils and Soil Mechanics

Soils and Soil Mechanics

? - ?723.5 Computer Applications

Computer Applications

? - ?821.3 Agricultural Methods

Agricultural Methods

? - ?821.4 Agricultural Products

Agricultural Products

? - ?913.1 Production Engineering

Production Engineering

? - ?921 Mathematics

Mathematics

? - ?921.6 Numerical Methods

Numerical Methods

? - ?922.2 Mathematical Statistics

Mathematical Statistics

? - ?944.2 Moisture Measurements

Moisture Measurements

Numerical data indexing: Percentage 8.22e+00%

DOI: 10.6041/j.issn.1000-1298.2018.08.028

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

12. Design and Test of Monitoring System of No-tillage Planter Based on Cortex-M3 Processor

Accession number: 20184406012664

Title of translation: 基于Cortex-M3的免耕播种机监控系统设计与试验

Authors: Sun, Yongjia (1); Shen, Jingxin (1); Dou, Qingqing (1); Li, Qinglong (1); Chen, Gang (1); Sun, Yitian (1)

Author affiliation: (1) Shandong Academy of Agricultural Machinery Sciences, Ji’nan; 250100, China

Corresponding author: Sun, Yitian(sytde@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 50-58

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: At present, the anti-dust effect is poor and the monitoring precision is low for the monitoring sensor of domestic fertilization planter. Besides it can not adjust the amount of fertilizer. A monitoring system of fertilization seeder based on Cortex-M3 processor was designed in order to settle these problems. The system could adjust the amount of fertilizer according to the working speed. It also could monitor conditions of seeding and fertilizing in time, count quantity of seeding and area statistic. When the fault occurred, it would send out alarm by buzzer and show fault type. The system adopted one piece of silicon photoelectric diode which had a large photosensitive area as receiving component and three infrared light emitting diode (LEDs) to design the seed sensor, which contained a vitreous dust cover. The structural and installation parameters of sensor were optimized to eliminate monitoring blind area. All the above helped to improve the dust-laden environmental adaptability and accuracy of monitoring system. The system adopted outer groove-wheel to design fertilizer apparatus which was driven by a worm-gear direct current(DC)motor with the rated voltage of 12 V and power of 50 W. Besides one end of worm shaft was connected to outer groove-wheel and the other connected to an incremental encoder for motor speed measurement. The encoder’s accuracy was 100 P/R (pulses/revolution). The main hardware circuits such as sensor signal acquisition circuit, motor drive circuit and controller area network (CAN) bus interface circuit were designed by Altium Designer software. The display interface contained three parts: main interface, setting interface and query interface. They were designed based on four rows corn planter. The seeding performance of each row was displayed in the form of a number and ring icon. The numbers showed specific seeding values. When the performance became poor, the ring icon was turned from green to red. The software development environment was Keil uVision5, and the program was written in C language. The system adopted incremental proportion integration differentiation (PID) control algorithm for the speed adjustment of fertilization motor. Lab test showed that when presetting fertilization amount was 75 kg/hm2, the work breadth was 2.6 m, speed was 3 km/h, 4 km/h, 5 km/h, 6 km/h and 7 km/h, respectively, fertilization was varied with the speed. Fertilization deviations were 2.88%, 4.63%, 0.74%, 2.47% and 3.17%, respectively. When presetting motor rotation speed was 150 r/min, seeding quantity counting deviation of the system were within 4%. The monitoring system was installed on no-tillage corn precision planter of Debont company to conduct a field trial. When presetting fertilization amount was 75 kg/hm2, vehicle run 1 000 m with a stable speed of 3 km/h, 4 km/h, 5 km/h, 6 km/h and 7 km/h, respectively, the coefficient of variation of fertilization were 1.70%, 1.98%, 1.92%, 1.76% and 2.63%, respectively. Meanwhile, fertilization deviation was less than 5%. Therefore, consistency and accuracy of the system were good, which could meet the requirement of actual production. The study provided reference for the research of variable rate fertilization control technology and development of intelligent monitoring system. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 25

Main heading: Monitoring

Controlled terms: Agriculture? - ?Algorithms? - ?C (programming language)? - ?Control system synthesis? - ?Controllers? - ?Dust? - ?Electric drives? - ?Fertilizers? - ?Integrated circuit design? - ?Signal encoding ? - ?Software design? - ?Speed? - ?Wheels

Uncontrolled terms: Controller area networkbus? - ?Infrared light emitting diodes? - ?Intelligent monitoring systems? - ?Monitoring system? - ?No-tillage planter? - ?Proportion integration differentiation control(PID)? - ?Software development environment? - ?Variable rate fertilization

Classification code: 451.1 Air Pollution Sources

Air Pollution Sources

? - ?601.2 Machine Components

Machine Components

? - ?714.2 Semiconductor Devices and Integrated Circuits

Semiconductor Devices and Integrated Circuits

? - ?716.1 Information Theory and Signal Processing

Information Theory and Signal Processing

? - ?723 Computer Software, Data Handling and Applications

Computer Software, Data Handling and Applications

? - ?731.1 Control Systems

Control Systems

? - ?732.1 Control Equipment

Control Equipment

? - ?804 Chemical Products Generally

Chemical Products Generally

? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Agricultural Equipment and Methods; Vegetation and Pest Control

Numerical data indexing: Percentage 1.70e+00%, Percentage 1.76e+00%, Percentage 1.92e+00%, Percentage 1.98e+00%, Percentage 2.47e+00%, Percentage 2.63e+00%, Percentage 2.88e+00%, Percentage 3.17e+00%, Percentage 4.00e+00%, Percentage 4.63e+00%, Percentage 5.00e+00%, Percentage 7.40e-01%, Power 5.00e+01W, Rotational_Speed 1.50e+02RPM, Size 1.00e+03m, Size 2.60e+00m, Velocity 1.11e+00m/s, Velocity 1.39e+00m/s, Velocity 1.67e+00m/s, Velocity 1.94e+00m/s, Velocity 8.33e-01m/s, Voltage 1.20e+01V

DOI: 10.6041/j.issn.1000-1298.2018.08.006

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

13. Design and Optimization Experiment of Anti-blocking Mechanism of No-tillage Planter for Grand Ridge with Raw Corn Stubble

Accession number: 20184406012665

Title of translation: 大垄玉米原茬地免耕播种机防堵装置设计与优化试验

Authors: Chen, Haitao (1); Hou, Lei (1); Hou, Shouyin (1); Li, Yu (1); Min, Shiyao (1); Chai, Yuduo (1)

Author affiliation: (1) College of Engineering, Northeast Agricultural University, Harbin; 150030, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 59-67

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: For the blocking circumstance in the no-tillage planting operation for grand ridge with crushed raw corn stubble produced by corn harvester in north cold area and slower recovery of ground temperature after planting operation. In order to solve these problems above, an anti-blocking mechanism of no-tillage planter for grand ridge with raw corn stubble was designed. Corn stubble was positioned on the seeding belt, which was continuously struck by the force of cleaning rotating blade on the anti-blocking mechanism. So that the corn stubble reached furrow between adjacent grand ridges, the clean seeding belt on grand ridge was produced for guaranteeing the operation quality of ditch-opening, seeding, soil-covering and compacting. Through theoretical analysis, the key parts of anti-blocking mechanism were designed, and then structure and operation parameters of the mechanism were determined. Orthogonal experiment design of three factors and three levels and fuzzy comprehensive evaluation method were employed for finding the optimal parameter combination of anti-blocking mechanism. Meanwhile, the working speed of equipment, the rotation speed of cleaning blade assembly, the angle between direction of opretion speed and vertical plane rotation axis of cleaning blade assembly were selected as factors. Stubble-cleaning rate, straw-cleaning rate and equivalent power dissipation of anti-blocking mechanism were selected as indexes. The result showed that the working speed of equipment had very significant effect on stubble-cleaning rate. The rotation speed of cleaning blade assembly and the angle between direction of opretion speed and vertical plane rotation axis of cleaning blade assembly had significant effect on the stubble-cleaning rate; the rotation speed of cleaning blade assembly had very significant effect on the straw-cleaning rate. The working speed of equipment, the angle between direction of opretion speed and vertical plane rotation axis of cleaning blade assembly had significant effect on the straw-cleaning rate. The working speed of equipment and the rotation speed of cleaning blade assembly had very significant effect on the equivalent power dissipation of anti-blocking mechanism. Within the range of experimental conditions and experiment factors, the optimal combination result of parameters that influencing multi-objective function showed that when the working speed of equipment was 5.4 km/h and the rotation speed of cleaning blade assembly was 440 r/min, the angle between direction of opretion speed and vertical plane rotation axis of cleaning blade assembly was 20°, the obtained indexes were as follows: the stubble-cleaning rate was 93.94%, the straw-cleaning rate was 95.39%, the equivalent power dissipation of anti-blocking mechanism was 4.36 kW, the soil disturbance was 31.9%. The result can provide references for design of no-tillage planter for grand ridge with crushed raw corn stubble produced by corn harvester in north cold area. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 35

Main heading: Cleaning

Controlled terms: Agriculture? - ?Electric losses? - ?Harvesters? - ?Rotation? - ?Speed

Uncontrolled terms: Anti-blocking mechanisms? - ?Blade assemblies? - ?Corn? - ?Fuzzy comprehensive evaluation method? - ?Multi-objective functions? - ?No-till planters? - ?Optimal parameter combinations? - ?Orthogonal experiment design

Classification code: 802.3 Chemical Operations

Chemical Operations

? - ?821 Agricultural Equipment and Methods; Vegetation and Pest Control

Agricultural Equipment and Methods; Vegetation and Pest Control

? - ?821.1 Agricultural Machinery and Equipment

Agricultural Machinery and Equipment

? - ?931.1 Mechanics

Mechanics

Numerical data indexing: Percentage 3.19e+01%, Percentage 9.39e+01%, Percentage 9.54e+01%, Power 4.36e+03W, Rotational_Speed 4.40e+02RPM, Velocity 1.50e+00m/s

DOI: 10.6041/j.issn.1000-1298.2018.08.007

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

14. Tea Variety Identification Based on Low-rank Stacked Auto-encoder and Hyperspectral Image

Accession number: 20184406012695

Title of translation: 基于低秩自动编码器及高光谱图像的茶叶品种鉴别

Authors: Sun, Jun (1); Jin, Haitao (1); Wu, Xiaohong (1); Lu, Hu (2); Shen, Jifeng (1); Dai, Chunxia (1)

Author affiliation: (1) School of Electrical and Information Engineering, Jiangsu University, Zhenjiang; 212013, China; (2) School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang; 212013, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 316-323

Language: English

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Five different varieties of tea samples were classified with the method combining stacked auto-encoder (SAE) with low-rank matrix recovery (LRMR). The hyperspectral imaging system with spectrum range of 431~962 nm was used to collect five kinds of tea samples containing 618 bands of hyperspectral images, including Huangshan green tea, Longjing, Yixing Mao Feng, Yunwu green tea and Biluochun. The ENVI software was used to determine the region of interest (ROI) of the hyperspectral images, and the average spectral data of the sample in ROI were extracted as the raw spectral information of the sample. Due to the large amount, strong redundancy and much noise of the hyperspectral information, the low-rank stacked auto-encoder (LR-SAE), which combined the stacked auto-encoder and the low-rank matrix recovery, was used to reduce the dimensionality of the hyperspectral data of the tea samples. Support vector machine (SVM) and Softmax classification model were applied to identify the tea samples after dimensionality reduction. The 5-fold cross validation experiment results showed that the accuracy of prediction set of LR-SAE-SVM model was 99.37%, and that of SAE-SVM model was 98.82%. As for Softmax classification, the accuracy of prediction set of LR-SAE-Softmax model was 99.04%, and that of SAE-Softmax model was 97.99%. The results showed that the accuracy of the classification model based on LR-SAE was improved on some degree and the LR-SAE had better robustness than the traditional SAE without de-noising. It was feasible and efficient to apply the classification model based on LR-SAE into tea variety identification. ? 2018, Chinese Society of Agricultural Machinery. All right reserved.

Number of references: 35

Main heading: Hyperspectral imaging

Controlled terms: Image segmentation? - ?Independent component analysis? - ?Matrix algebra? - ?Recovery? - ?Signal encoding? - ?Spectroscopy? - ?Support vector machines

Uncontrolled terms: Auto encoders? - ?Dimensionality reduction? - ?HyperSpectral? - ?Low-rank matrix recoveries? - ?Variety identification

Classification code: 716.1 Information Theory and Signal Processing

Information Theory and Signal Processing

? - ?723 Computer Software, Data Handling and Applications

Computer Software, Data Handling and Applications

? - ?921.1 Algebra

Algebra

Numerical data indexing: Percentage 9.80e+01%, Percentage 9.88e+01%, Percentage 9.90e+01%, Percentage 9.94e+01%, Size 4.31e-07m to 9.62e-07m

DOI: 10.6041/j.issn.1000-1298.2018.08.037

Compendex references: YES

Database: Compendex

Compilation and indexing terms, Copyright 2018 Elsevier Inc.

Data Provider: Engineering Village

15. Kinematic and Dynamic Modeling of Parallel-serial Hybrid Stabilizing Crane Mechanism

Accession number: 20184406012708

Title of translation: 并串混联稳定克令吊运动学与动力学建模

Authors: Li, Erwei (1, 2); Zhao, Tieshi (1, 2); Hu, Qiangqiang (1, 2); Wang, Chang (1, 2); Geng, Mingchao (3)

Author affiliation: (1) Hebei Provincial Key Laboratory of Parallel Robot and Mechatronic System Laboratory, Yanshan University, Qinhuangdao; 066004, China; (2) Key Laboratory of Advanced Forging and Stamping Technology and Science, Ministry of Education, Yanshan University, Qinhuangdao; 066004, China; (3) College of Mechanical Engineering, Hebei University of Architecture, Zhangjiakou; 075000, China

Corresponding author: Zhao, Tieshi(tszhao@ysu.edu.cn)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 49

Issue: 8

Issue date: August 25, 2018

Publication year: 2018

Pages: 411-419 and 49

Language: English