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Deep Learning for Agricultural Visual Perception Crop Pest and Disease Detection

This monograph provides a detailed and systematic introduction to the application of deep learning technology in the intelligent monitoring of crop diseases and pests. Taking 24 types of crop pests, wheat aphids, and wheat diseases with complex backgrounds as examples, a large-scale crop pest and di...

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Bibliographic Details
Main Authors: Wang, Rujing, Jiao, Lin (Author), Liu, Kang (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2023, 2023
Edition:1st ed. 2023
Subjects:
Machine Learning
Image Processing / Digital Techniques
Computer Vision
Image Processing
Artificial Intelligence
Computer Imaging, Vision, Pattern Recognition And Graphics
Agriculture
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1. Introduction
  • Chapter 2. Deep Learning Technology
  • Chapter 3. Large-Scale Agricultural Pest and Disease Datasets
  • Chapter 4. Sampling-balanced Region Proposal Network for Pest Detection
  • Chapter 5. Crop Pest Detection Methods in Field
  • Chapter 6. A CNN-based Arbitrary-oriented Wheat Disease Detection Method

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