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.
General
| Imprint: |
Springer Verlag, Singapore
|
| Country of origin: |
Singapore |
| Release date: |
September 2023 |
| First published: |
2023 |
| Authors: |
Rujing Wang
• Lin Jiao
• Kang Liu
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
190 |
| Edition: |
1st ed. 2023 |
| ISBN-13: |
978-981-9949-72-4 |
| Categories: |
Books
Promotions
|
| LSN: |
981-9949-72-6 |
| Barcode: |
9789819949724 |
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