Deep Learning for Agricultural Visual Perception: Crop Pest and Disease Detection
by Rujing Wang, Lin Jiao and Kang Liu
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Fulfillment optionsDeep Learning for Agricultural Visual Perception
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 disease dataset was constructed to provide necessary data support for the deep learning module. Various schemes for identifying and detecting large-scale crop diseases and pests based on deep convolutional neural network technology have also been proposed. This book can be used as a reference for teachers and students majoring in agriculture, computer science, artificial intelligence, intelligent science and technology, and other related fields in higher education institutions. It can also be used as a reference book for researchers in fields such as image processing technology, intelligent manufacturing, and high-tech applications.
Details
- Publisher
- Springer Nature Singapore
- Authors
- Rujing Wang, Lin Jiao, Kang Liu
- Format
- Paperback
- Published
- Sep 22, 2024
- ISBN-13
- 9789819949755
- Pages
- 131
- Printing
- Printed on demand
Deep Learning for Agricultural Visual Perception for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $158.39 | 12% off list |
| 50 – 99 | $156.59 | 13% off list |
| 100+ | $154.79 | 14% off list |
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Deep Learning for Agricultural Visual Perception: Crop Pest and Disease Detection
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