李修华,张云皓,李婉,张木清,黄豪,农梦玲.LoRa物联网设计及其甘蔗生物量预测可行性研究[J].农业机械学报,2019,50(Supp):228-232.
LI Xiuhua,ZHANG Yunhao,LI Wan,ZHANG Muqing,HUANG Hao,NONG Mengling.Design of LoRa IoTs and Its Feasibility on Prediction of Sugarcane Plant Population Biomass[J].Transactions of the Chinese Society for Agricultural Machinery,2019,50(Supp):228-232.
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LoRa物联网设计及其甘蔗生物量预测可行性研究   [下载全文]
Design of LoRa IoTs and Its Feasibility on Prediction of Sugarcane Plant Population Biomass   [Download Pdf][in English]
投稿时间:2019-04-21  
DOI:10.6041/j.issn.1000-1298.2019.S0.035
中文关键词:  甘蔗  生物量  物联网  通信强度  接收信号强度指示  群体密度
基金项目:国家自然科学基金项目(31760342、31760603)和广西科技重大专项(桂科AA18118037)
作者单位
李修华 广西大学
广西甘蔗生物学重点实验室 
张云皓 广西大学 
李婉 广西大学 
张木清 广西甘蔗生物学重点实验室 
黄豪 广西大学 
农梦玲 广西大学 
中文摘要:为了充分挖掘物联网的潜力,设计了基于LoRa技术的农田物联网系统,该系统可实现田间环境数据的采集,并进行了田间通信试验。选取空地及两块甘蔗地进行试验,分别获取了不同发射功率、不同通信距离、不同天气状况下的共3000个接收信号强度指示(Received signal strength indication, RSSI)数据。试验结果表明,在蔗田通信中,发射功率15dB,晴天的通信品质比发射功率10、20dB及黎明、出现露水等潮湿条件下更稳定,甘蔗密度明显影响通信品质。建立了发射功率15dB、晴天条件下RSSI值与通信距离的关系模型,其决定系数R2达到0.9291。
LI Xiuhua  ZHANG Yunhao  LI Wan  ZHANG Muqing  HUANG Hao  NONG Mengling
Guangxi University;Guangxi Key Laboratory for Sugarcane Biology,Guangxi University,Guangxi University,Guangxi Key Laboratory for Sugarcane Biology,Guangxi University and Guangxi University
Key Words:sugarcane  biomass  internet of things  communication strength  received signal strength indication  plant population density
Abstract:LoRa technology is a low power LAN wireless standard, which is increasingly used in the agricultural internet of things due to its advantages of low power consumption and long communication distance. LoRa nodes can not only be equipped with sensors for environmental monitoring but also figure out received signal strength indication (RSSI) of each node by checking the quality of received data packets. RSSI value has a strong relationship with signal transmission intensity, communication distance and communication media. A farmland internet of things system was designed and developed based on LoRa technology, and the relationship between LoRa communication quality, transmission power, communication distance and sugarcane plant population density was preliminarily explored, and the feasibility of using RSSI value to predict sugarcane population density was evaluated. In the communication experiment, a total of 3000 RSSI data were collected at 20 different distances in the open field and two sugarcane fields. The results showed that under the transmission power of 15dB, the communication quality on sunny days was more stable than that of 10dB, 20dB, rain, dew and other humidity, and the sugarcane density obviously affected the communication quality. The main factors affecting the communication quality in sugarcane field were analyzed based on these data, and the model of LoRa signal strength and communication distance was preliminarily established, the tests showed that its R2 reached 0.9291. The results showed that the system designed can provide important guidance for sugarcane growth monitoring, management and yield prediction.

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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