Abstract
The research and application of key technologies of pest identification based on deep learning the paper analyzes the status quo and problems of pest identification in my past. It studies the key technologies of pest identification based on deep learning. On this basis, a GIS based pest data management cloud platform is proposed, which is composed of intelligent terminals and data centers. The intelligent terminal can quickly acquire the photos of pests and upload them to the data center of cloud platform. The data center can identify the pests returned by the intelligent terminal, automatically generate the spatiotemporal distribution map of insect situation, and use machine learning technology to warn the pests, and assist the farmers to take effective measures against the pests.
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