Empowering Smallholder Farmers with UAV-Based Early Cotton Disease Detection Using AI
Early detection of cotton diseases is critical for safeguarding crop yield and minimizing agrochemical usage. However, most state-of-the-art systems rely on multispectral or hyperspectral sensors, which are costly and inaccessible to smallholder farmers. This paper introduces CottoNet, a lightweight...
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| Główni autorzy: | , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2025-05-01
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| Seria: | Drones |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2504-446X/9/5/385 |
| Etykiety: |
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