基于物联网的农业痕量灌溉系统
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摘要
为降低人工成本,减少农业用水,提高水资源利用率,提出一种基于物联网的农业痕量灌溉系统。该系统通过ZigBee无线传输技术实时收集、传输农作物生态环境等参数,并利用需水模型对农作物生长阶段进行分析,获得最佳灌溉策略。试验结果表明:通过建立农业痕量灌溉系统,农作物亩均增产20.53%、农田灌溉亩均用水量降低30%以上、节约人力成本50%以上;提高劳动生产效率;满足农业水肥一体化灌溉目的。
In order to reduce labor costs, reduce agricultural water use and improve water resources utilization, an agricultural trace irrigation system based on the Internet of Things was proposed and developed. Through ZigBee wireless transmission technology, the system collects and transmits the parameters of crop ecological environment in real time, and uses the crop water demand model to analyze the crop growth stage to obtain the best irrigation strategy, so as to realize the precision irrigation of crops.The results show that the average yield of crops per mu is increased by 20.53%, the average water consumption of farmland irrigation per mu is reduced by more than 30%, and the cost of manpower is saved by more than 50%. The construction of agricultural trace irrigation system can improve labor productivity and meet the purpose of integrated irrigation of water and fertilizer in agriculture.
In order to reduce labor costs, reduce agricultural water use and improve water resources utilization, an agricultural trace irrigation system based on the Internet of Things was proposed and developed. Through ZigBee wireless transmission technology, the system collects and transmits the parameters of crop ecological environment in real time, and uses the crop water demand model to analyze the crop growth stage to obtain the best irrigation strategy, so as to realize the precision irrigation of crops.The results show that the average yield of crops per mu is increased by 20.53%, the average water consumption of farmland irrigation per mu is reduced by more than 30%, and the cost of manpower is saved by more than 50%. The construction of agricultural trace irrigation system can improve labor productivity and meet the purpose of integrated irrigation of water and fertilizer in agriculture.
引文
[1]吴迪,刘天宇,宋涛,等.基于模糊控制的智能节水灌溉控制系统设计[J].江苏农业科学,2018,46(23):245-249.
[2]王玖林,赵成萍,严华.基于Lo Ra的节水灌溉系统设计与研究[J].节水灌溉,2017(12):104-106,111.
[3]李惠钧,李双冰.基于移动互联网的智能灌溉系统设计与开发[J].山西农经,2017(22):60.
[4]师志刚,刘群昌,白美健,等.基于物联网的水肥一体化智能灌溉系统设计及效益分析[J].水资源与水工程学报,2017,28(3):221-227.
[5]李凌雁,李鑫,曹世超.基于Zig Bee和GPRS智能监测的节水灌溉装置设计[J].农机化研究,2017,39(8):212-215,219.
[6]王灿,王中华,王冬雪,等.基于Lo Ra的智能灌溉系统设计[J].计算机测量与控制,2018,26(8):217-221.
[7]刘晓,张一铭,黄文强,等.基于AT89C51的节水灌溉系统设计[J].机械工程与自动化,2016(2):184-186.
[8]江显群,陈武奋.BP神经网络与GA-BP农作物需水量预测模型对比[J].排灌机械工程学报,2018,36(8):762-766.
[9]赵哲.节水灌溉系统设计中Zig Bee技术的应用[J].水利技术监督,2015(6):11-14.
[10]李晓花.农业节水灌溉智能控制系统设计[J].水利规划与设计,2014(3):79-81.
[2]王玖林,赵成萍,严华.基于Lo Ra的节水灌溉系统设计与研究[J].节水灌溉,2017(12):104-106,111.
[3]李惠钧,李双冰.基于移动互联网的智能灌溉系统设计与开发[J].山西农经,2017(22):60.
[4]师志刚,刘群昌,白美健,等.基于物联网的水肥一体化智能灌溉系统设计及效益分析[J].水资源与水工程学报,2017,28(3):221-227.
[5]李凌雁,李鑫,曹世超.基于Zig Bee和GPRS智能监测的节水灌溉装置设计[J].农机化研究,2017,39(8):212-215,219.
[6]王灿,王中华,王冬雪,等.基于Lo Ra的智能灌溉系统设计[J].计算机测量与控制,2018,26(8):217-221.
[7]刘晓,张一铭,黄文强,等.基于AT89C51的节水灌溉系统设计[J].机械工程与自动化,2016(2):184-186.
[8]江显群,陈武奋.BP神经网络与GA-BP农作物需水量预测模型对比[J].排灌机械工程学报,2018,36(8):762-766.
[9]赵哲.节水灌溉系统设计中Zig Bee技术的应用[J].水利技术监督,2015(6):11-14.
[10]李晓花.农业节水灌溉智能控制系统设计[J].水利规划与设计,2014(3):79-81.