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

作　　者：齐仁龙[1,2] 朱小会[1,2] 翟璐璐 QI Renlong;ZHU Xiaohui;ZHAI Lulu(Electronics and Electrical Engineering,Zhengzhou University of Science and Technology,Zhengzhou 450064,China;The Henan Intelligent Information Processing and Control Engineering Technology Research Center,Zhengzhou University of Science and Technology,Zhengzhou 450064,China)

机构地区：[1]郑州科技学院电子与电气工程学院,河南郑州450064 [2]郑州科技学院河南省智能信息处理与控制工程技术研究中心,河南郑州450064

出　　处：《中原工学院学报》2023年第6期17-22,共6页Journal of Zhongyuan University of Technology

基　　金：河南省高等学校青年骨干教师培养计划项目(2019GGJS276)。

摘　　要：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.

关 键 词：物联网 大数据 微量元素 监测预警 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]