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

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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Bibliographic Details
Main Authors: Lawrence Kujur, Varuna Gupta, Abhinav Singhal
Format: Article
Language:English
Published: Springer 2025-02-01
Series:Discover Applied Sciences
Subjects:
Convolutional Neural Networks (CNN)
Gradient boost (GB)
NADAM
Forecasting
CNN-GB-Nadam
Disease protection
Online Access:https://doi.org/10.1007/s42452-025-06593-2
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