HIGHLIGHTS
- who: TYPE and colleagues from the Zhongkai University of Agriculture and Engineering, China have published the paper: An intelligent monitoring system of diseases and pests on rice canopy, in the Journal: (JOURNAL)
- what: In this work, two pest damage lesions (Cnaphalocrocis medinalis and Chilo suppressalis) and one disease lesion (Ustilaginoidea virens) were studied.
- how: There are mainly the following problems Some images were collected in lab conditions rather than in paddy fields. The authors proposed an improved model YOLODisease and Pest Detection (YOLO-DPD). The experiments were conducted on a deep learning server . . .
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