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

ABSTRACT: 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, by using methods such as keyword co-contribution analysis and author co-occurrence analysis in bibliometrics, we found out the hot-spots of this field. UAV platforms equipped with various types of cameras and other advanced sensors, combined with artificial intelligence (AI) algorithms, especially for deep learning (DL) were reviewed. Acknowledging the critical role of comprehending crop diseases and pests, along with their defining traits, we provided a concise overview as indispensable foundati

SUBMITTER: Zhu H 

PROVIDER: S-EPMC11540708 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature