Intelligent agriculture: deep learning in UAV-based remote sensing imagery for crop diseases and pests detection

Controlling crop diseases and pests is essential for intelligent agriculture (IA) due to the significant reduction in crop yield and quality caused by these problems. In recent years, the remote sensing (RS) areas has been prevailed over by unmanned aerial vehicle (UAV)-based applications. Herein, b...

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Bibliographic Details
Published in:	Frontiers in plant science Vol. 15; p. 1435016
Main Authors:	Zhu, Hongyan, Lin, Chengzhi, Liu, Gengqi, Wang, Dani, Qin, Shuai, Li, Anjie, Xu, Jun-Li, He, Yong
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media SA 24.10.2024 Frontiers Media S.A
Subjects:	Agricultural production Agriculture Algorithms Artificial intelligence Crop diseases crop diseases and pests Crop yield Deep learning deep learning (DL) intelligent agriculture (IA) Large language models Machine learning Pest control Pests Plant diseases Plant Science Remote sensing remote sensing (RS) Sensors unmanned aerial vehicle (UAV) Unmanned aerial vehicles unmanned aerial vehicle (UAV) crop diseases and pests remote sensing (RS) intelligent agriculture (IA) deep learning (DL)
ISSN:	1664-462X, 1664-462X
Online Access:	Get full text
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