A hybrid multi-optimizer approach using CNN and GB for accurate prediction of citrus fruit diseases

Abstract Efficient prediction of citrus fruit diseases is essential for maintaining orchard health and productivity. Traditional diagnostic methods, often relying on manual inspection, are labor-intensive and prone to inaccuracies. Deep learning techniques, especially Convolutional Neural Networks (...

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Detalhes bibliográficos

Principais autores:	Lawrence Kujur, Varuna Gupta, Abhinav Singhal
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2025-02-01
Colecção:	Discover Applied Sciences
Assuntos:	Convolutional Neural Networks (CNN) Gradient boost (GB) NADAM Forecasting CNN-GB-Nadam Disease protection
Acesso em linha:	https://doi.org/10.1007/s42452-025-06593-2
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