基于物联网的农作物生长过程微量元素含量的测定

Soil trace element content of crop growth determination based on the internet of things

以河南省耕层土壤为研究对象,采用物联网大数据分析技术,对农作物生长过程微量元素含量进行精准的数据采集、数据传输与管理、预测预报、信息发布等,实现了农作物微量元素含量的智能识别与诊断分析。通过建立通用的农作物生长过程微量元素含量监测预警平台,科学、合理地制定高效施肥方案,实现了农作物优质高产以及化肥投入近零增长的目标。

Taking the cultivated soil of Henan province as the research object,this paper adopts the big data analysis technology of the internet of things to implement accurate data collection,data transmission and management,prediction and forecasting and information release of trace element content in the plant growth process.It realizes the intelligent identification,diagnosis and analysis of plant trace element content,and establishes a set of general main monitoring and early warning platforms to achieve the goal of scientific and reasonable formulation of efficient fertilization scheme.And ultimately,it achieves the high quality and high yield of crops and nearly zero growth of chemical fertilizer input.