Enhancing Agricultural Disease Detection: A Multi‐Model Deep Learning Novel Approach

Enhancing Agricultural Disease Detection: A Multi‐Model Deep Learning Novel Approach

ABSTRACT Artificial intelligence, especially deep learning, has attracted significant interest in bioinformatics, with prominent applications in precision agriculture. A significant threat to the agricultural sector is the rapid propagation of diseases from affected to healthy plants, which, if unde...

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Bibliographic Details
Main Authors: Muhammad Khalid Hamid, Said Khalid Shah, Ghassan Husnain, Yazeed Yasin Ghadi, Shahab Ahmad Al Maaytah, Ayman Qahmash
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Engineering Reports
Subjects:
agronomist
artificial intelligence
backpropagation algorithm
convolutional neural network
deep learning
precision agriculture
Online Access:https://doi.org/10.1002/eng2.13113
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