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Recent advances in plant disease detection: challenges and opportunities

Abstract Plant diseases cause approximately 220 billion USD in annual agricultural losses, driving demand for automated detection systems. This systematic review analyzes deep learning approaches for plant disease detection using RGB and hyperspectral imaging, examining their evolution from classica...

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Principais autores: Muhammad Shafay, Taimur Hassan, Muhammad Owais, Irfan Hussain, Sajid Gul Khawaja, Lakmal Seneviratne, Naoufel Werghi
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2025-10-01
coleção:Plant Methods
Assuntos:
Plant disease detection
Deep learning
Hyperspectral imagery
Benchmarking datasets
Research directions
Review
Acesso em linha:https://doi.org/10.1186/s13007-025-01450-0
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