This monograph provides a detailed and systematic introduction to the application of deep learning technology in the int
160 33 46MB
English Pages 224 Year 2023
Table of contents :
Cover
Front Matter
1. Introduction
2. Deep Learning Technology
3. Large-Scale Agricultural Pest and Disease Datasets
4. Sampling-Balanced Region Proposal Network for Pest Detection
5. Crop Pest Detection Methods in Field
6. A CNN-Based Arbitrary-Oriented Wheat Disease Detection Method