Deep learning-based temporal change detection of broadleaved weed infestation in rice fields using UAV multispectral imagery

Timely and accurate monitoring of weed infestation is essential for optimizing herbicide application in rice cultivation, particularly within site-specific weed management (SSWM) strategies. Conventional blanket spraying remains widely adopted by farmers, resulting in excessive herbicide usage and i...

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Autors principals:	Rhushalshafira Rosle, Nik Norasma Che’Ya, Fariq Rahmat, Nur Syazyla Sulaiman, Nurul-Idayu Zakaria, Zulkerami Berahim, Mohd Husni Omar, Mohd Razi Ismail
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2025-10-01
Col·lecció:	Frontiers in Plant Science
Matèries:	deep learning change detection phenotyping technologies weed infestation UAV multispectral imagery precision agriculture
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fpls.2025.1655391/full
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