Based On Intelligent Agriculture Of Agricultural Products Traceability Platform

The attention on keywords such as Green food,organic vegetables etc.has continued to heat up.However,when the agricultural products are labeled with green and organic.With the promotion of agricultural products prices,there are more and more problems happened like the safety of organic produce,the rationality of the price,reliability and so on.In order to solve the above problems more and more scholars have devoted themselves to a new agricultural system-intelligent agriculture.Intelligent agriculture take agriculture as an integral system with the existence of organic links.In the production of agricultural products,Integrating with various information technology,thorough sensing technology,a wide range of interconnection technology and Deep intelligence technology make the operation of agricultural system more effective,smarter and smarter,so as to achieve the strong competitiveness of agricultural products,agriculture sustainable development,effective use of rural energy and environmental protection.This paper is writing based on the construction of the intelligent agriculture platform of a grape planting garden in Liaoning province.Through the research on the background and significance of the project,it analysis the development of domestic and foreign intelligent agriculture and the implementation case.With the use of the wireless sensor network and real-time video monitoring network related core technology,building a remote control monitoring system to achieve real-time monitoring atmosphere environment and soil environment in greenhouse and remote control monitoring agricultural automation equipment.At the same time,binding the collected data of the agricultural monitoring system with the growth process to realize an a comprehensive agricultural product traceability system,which is based on the data of key environmental factors during the growth period,the video images,fertilization and pesticide spraying during the planting period.Finally,it find out the relevant factors affecting the quality of agricultural products,through the PCA principal component analysis,it identify the key factors,and with the use of BP neural network prediction model,it predict the quality of the crop.The system uses Zigbee technology and wireless sensor network matching the industry standard to construct acquisition network.Platform is designed for B / S structure,and use the most popular expansion pack including Mongodb,Express,Angularjs and Node.js-to-AngularJS suite of node.js.It make the whole system architecture stable meanwhile keep sufficient scalability as well as meet the technology and business development changes.This system is integrated with the agricultural production and the Internet,networking,data mining,and artificial intelligence etc.information technology.It is a primarily explore to intelligentagriculture,and a foreshadowing to achieve the real intelligent agriculture.