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 (Author), Jiao, Lin (Author), Liu, Kang (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Subjects:	Artificial intelligence. Image processing > Digital techniques. Computer vision. Machine learning. Image processing. Agriculture. Artificial Intelligence. Computer Imaging, Vision, Pattern Recognition and Graphics. Computer Vision. Machine Learning. Image Processing.
Online Access:	https://doi.org/10.1007/978-981-99-4973-1
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