Automatic diagnosis of agromyzid leafminer damage levels using leaf images captured by AR glasses

Automatic diagnosis of agromyzid leafminer damage levels using leaf images captured by AR glasses

Agromyzid leafminers cause significant economic losses in both vegetable and horticultural crops, and precise assessments of pesticide needs must be based on the extent of leaf damage. Traditionally, surveyors estimate the damage by visually comparing the proportion of damaged to intact leaf area, a...

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Bibliographic Details
Main Authors: Zhongru Ye, Yongjian Liu, Fuyu Ye, Hang Li, Ju Luo, Jianyang Guo, Zelin Feng, Chen Hong, Lingyi Li, Shuhua Liu, Baojun Yang, Wanxue Liu, Qing Yao
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-09-01
Series:Journal of Integrative Agriculture
Subjects:
agromyzid leafminer
plant leaf image
damage level
AR glasses
DeepLabv3+ model
image segmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S2095311925000103
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