Development and Application of Big Data Platform System for Wheat Growth Monitoring
In order to realize agricultural modernization,to promote the structural reform of the agricultural supply side,and to ensure high-quality and efficient wheat production,we collected and analyzed the data of soil moisture,seedling growth,photosynthesis,insects and meteor-ology in wheat planting process,so as to provide data and planting options for decision making of agricultural technicians and producers.Taking wheat production of Ningjin County as an example,we used the Internet of Things,UAV remote sensing and big data platform processing to de-sign a big data platform system for wheat growth monitoring.This system could be divided to 3 modules,including 1 big data platform and 5 field monitoring point.The system collected insect pest situation,soil moisture and meteorological data every 30 min,provided monitoring picture of wheat growth at the site all through 24 h.The data were transferred to the database of the big data platform through the internet.The platform summarized the data to form images and reports,so as to provide more suitable planting schemes for agricultural experts and agricultural pro-ducers and operators.
WheatBig data platformGrowth monitoringInternet of Things
国家科技期刊平台
NSTL
万方数据
