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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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Principais autores: Rhushalshafira Rosle, Nik Norasma Che’Ya, Fariq Rahmat, Nur Syazyla Sulaiman, Nurul-Idayu Zakaria, Zulkerami Berahim, Mohd Husni Omar, Mohd Razi Ismail
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2025-10-01
Serier:Frontiers in Plant Science
Fag:
deep learning
change detection
phenotyping technologies
weed infestation
UAV multispectral imagery
precision agriculture
Online adgang:https://www.frontiersin.org/articles/10.3389/fpls.2025.1655391/full
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