张淼,阳清亮,潘林沛.基于双标图差异分析的离子选择电极营养液建模研究[J].农业机械学报,2019,50(Supp):200-206.
ZHANG Miao,YANG Qingliang,PAN Linpei.ISE Modeling of Hydroponic Formula Based on Biplot Method Difference Analysis[J].Transactions of the Chinese Society for Agricultural Machinery,2019,50(Supp):200-206.
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基于双标图差异分析的离子选择电极营养液建模研究   [下载全文]
ISE Modeling of Hydroponic Formula Based on Biplot Method Difference Analysis   [Download Pdf][in English]
投稿时间:2019-04-30  
DOI:10.6041/j.issn.1000-1298.2019.S0.031
中文关键词:  双标图法  营养液差异  离子选择电极  预测模型  支持向量机
基金项目:国家重点研发计划项目(2016YFD0800900-2016YFD0800907、2016YFD0700300-2016YFD0700304)和农业农村部农业物联网技术集成与应用重点实验室开放项目(2016KL03)
作者单位
张淼 中国农业大学 
阳清亮 中国农业大学 
潘林沛 中国农业大学 
中文摘要:基于双标图法量化表征了山崎生菜、山崎草莓、山崎番茄、康奈尔生菜、康奈尔草莓5种营养液配方以及NO3N、PO4 P、K+、Ca2+、Mg2+、NH4 N、SO4 S 7种养分元素间的差异性。研究表明,NO3N、K+、Ca2+在差异性及含量比例皆排在前3位,同时山崎系列营养液配方与康奈尔系列营养液配方各自具有高度相关性。通过分别建立统一的建模样本集合进行支持向量机(SVM)模型训练,实现了对NO3N、K+、Ca2+的准确测量,相比于未进行差异性分析为输入的SVM预测模型,在山崎配方环境下,平均相对误差分别从7.66%、11.88%、11.55%减小至6.41%、6.14%、10.20%;在康奈尔配方环境下,平均相对误差则分别降低了1.79、2.98、1.13个百分点。基于双标图营养液配方分析方法可为无土栽培营养液电极法监测提供参考。
ZHANG Miao  YANG Qingliang  PAN Linpei
China Agricultural University,China Agricultural University and China Agricultural University
Key Words:biplot method  hydroponic formula difference  ion selective electrode  prediction model  support vector machine
Abstract:A nutrient solution recipe analysis method was developed based on biplot method. The difference of 〖JP2〗five recipes containing seven nutrient elements, including NO3 N, K+, Ca2+, Mg2+, PO4 P,〖JP〗 NH4 N, SO4 S was discussed. The result revealed NO3 N, K+, Ca2+ got a better performance than other elements in terms of the difference and content. Meanwhile, Yamazaki nutrient solution recipe and Cornell nutrient solution recipe independently hold a high correlation, respectively. A unified modeling samples collection training support vector machine (SVM) model was established for the detection of NO3 N, K+ and Ca2+. Compared with the prediction model without difference analysis as input, the mean relative error of NO3 N, K+, Ca2+ was decreased from 7.66%, 11.88% and 11.55% to 6.41%, 6.14% and 10.20%, respectively, in the Yamazaki recipe environment. While in the Cornell formula environment, the mean relative error was reduced by 1.79 percentage points, 2.98 percentage points and 1.13 percentage points, respectively.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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