OPTIMIZATION OF AGRICULTURAL PRODUCTION CONTROL BASED ON DATA PROCESSING TECHNOLOGY OF AGRICULTURAL INTERNET OF THINGS

Abstract

Internet of things is an important part of a new generation of information technology and it is a big step towards modern informationization for modern agriculture for us to introduce and apply the Internet of Things technology in agriculture which will lead the development of intelligent agriculture.  In order to optimize the agricultural production control ability, realize automatic production, optimization control and intelligent management, improve the crop yield and quality, this paper carries out a design study on the optimization of agricultural production and control on the basis of fully understanding the agricultural thing networking data processing technology.  Firstly, a service framework was put forward for the analysis of different agricultural products.  Secondly, an agricultural information forecasting model based on an output-input feedback mechanism was applied to effectively control the growth environment of crops.  Finally, the service framework, forecasting system and other modules were integrated into an application platform, which was then tested and showed a good read and write rate and a precise retrieval accuracy rate, could effectively predict environmental factors and give feedbacks, realize real-time monitoring of the environmental parameters and control the agricultural production.