Agricultural insect monitoring system based on deep learning and Internet of Things
Pests are one of the problems that hinder healthy crop growth and reduce crop yields,posing a serious threat to agri-cultural production.Therefore,accurate monitoring and scientific management of insect pests are particularly urgent nowadays.Al-though a variety of advanced integrated management technologies are available,it is difficult to cope with the changes brought by the complex climate environment.Research on agricultural pest monitoring systems that provide more efficient and accurate infor-mation on pests can sustainably cope with frequently changing climatic environments and improve crop yield and quality.This study aims to improve the efficiency and quality of agricultural production and to open up new paths for the development of smart agriculture in the future.
NETL
NSTL
万方数据
