Application of deep learning based on thermal images to identify the water stress in cotton under film-mulched drip irrigation

Integrated with deep learning algorithms, machine vision techniques have emerged as a robust method for the swift and non-destructive assessment of crop moisture status across extensive agricultural landscapes. Within the agricultural sector, where water serves as a crucial resource, especially for...

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Détails bibliographiques
Auteurs principaux: Kaijun Jin, Jihong Zhang, Zhenhua Wang, Jinzhu Zhang, Ningning Liu, Miao Li, Zhanli Ma
Format: Article
Langue:English
Publié: Elsevier 2024-06-01
Collection:Agricultural Water Management
Sujets:
Accès en ligne:http://www.sciencedirect.com/science/article/pii/S0378377424002361