苏战战,李莉,李文军,孟繁佳,SIGRIMIS N A.基于RF-GSO的温室番茄自适应调光系统设计与试验[J].农业机械学报,2019,50(Supp):339-346.
SU Zhanzhan,LI Li,LI Wenjun,MENG Fanjia,SIGRIMIS N A.Design and Experiment on Adaptive Dimming System for Greenhouse Tomato Based on RF-GSO[J].Transactions of the Chinese Society for Agricultural Machinery,2019,50(Supp):339-346.
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基于RF-GSO的温室番茄自适应调光系统设计与试验   [下载全文]
Design and Experiment on Adaptive Dimming System for Greenhouse Tomato Based on RF-GSO   [Download Pdf][in English]
投稿时间:2019-04-28  
DOI:10.6041/j.issn.1000-1298.2019.S0.052
中文关键词:  番茄  温室  自适应调光  随机森林-萤火虫算法  无线传感网络
基金项目:国家重点研发计划项目(2016YED0201003)和丽江市科技计划项目(LJGZZ-2018001)
作者单位
苏战战 中国农业大学 
李莉 中国农业大学 
李文军 中国农业大学 
孟繁佳 中国农业大学 
SIGRIMIS N A 雅典农业大学 
中文摘要:为满足温室番茄光环境的自适应调控,设计了基于RF-GSO(随机森林-萤火虫)模型的温室番茄自适应调光系统,实现温室中温度、CO2浓度、光照强度的实时采集,同时通过无线传感网络将信息传输到温室番茄自适应调光系统软件平台上,该平台可动态显示实时环境参数,并能实现补光灯远程调控。采用RF-GSO算法对温室内番茄理想光照强度进行动态计算,并将其与传感器实测光照强度间的差值作为调控参数,实现温室内番茄光环境的自适应调控。试验结果表明,〖JP〗系统检测的光照强度与温室调光目标值的决定系数R2为0.955,均方根误差为2.168μmol/(m2·s),系统丢包率为0.417%,说明基于RF-GSO的温室番茄自适应调光系统运行稳定、可靠。
SU Zhanzhan  LI Li  LI Wenjun  MENG Fanjia  SIGRIMIS N A
China Agricultural University,China Agricultural University,China Agricultural University,China Agricultural University and Athens Agricultural University
Key Words:tomato  greenhouse  adaptive dimming  RF-GSO  wireless sensor network
Abstract:The suitable light environment could promote the photosynthetic rate of plants, increase the dry matter quality and then increase the fruit yield. In order to meet the adaptive regulation of greenhouse tomato light environment, a greenhouse tomato self adaptive dimming system based on random forest-glowworm swarm optimization algorithm (RF-GSO) model was designed to realize the real time collection of temperature, CO2 concentration and light intensity in greenhouse. At the same time, the information was transmitted to the software platform of greenhouse tomato self adaptive dimming system through wireless sensor network. The platform could dynamically display the real time ring. The ambient parameters could also realize the remote control of supplementary light. The ideal illumination intensity oftomato in greenhouse was calculated dynamically by RF-GSO algorithm, and the difference between the ideal illumination intensity and the measured illumination intensity of the sensor was taken as the control parameter to realize the adaptive control of the light environment of tomato in greenhouse. The experimental results showed that the determination coefficient R2 between the illumination intensity detected by the system and the target value of greenhouse dimming was 0.955, the root mean square error was 2.168μmol/(m2·s), and the system packet loss rate was 0.417%. It was showed that the adaptive dimming system of greenhouse tomato based on RF-GSO could achieve stable and reliable operation.

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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