Abstract
With the changes in climate, pest varieties and resistance to pesticides, pests have shown frequent and recurring characteristics, making the supply of major agricultural products and food security facing severe challenges. The key to preventing and controlling pests is to correctly identify the pests and then apply the correct drugs and doses. This paper uses cloud computing, artificial intelligence and big data technology to build a cloud platform for identification and early warning of pest situation. Users use smartphones as terminals to accurately identify crop pests and form a complete crop pest distribution database, which is conducive to grasping the rules of pest occurrence. It is conducive to targeted pest control and is conducive to improving the efficiency of pesticide application control, thereby increasing crop yields.
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