Deep Learning and Edge Computing in Agriculture: A Comprehensive Review of Recent Trends and Innovations

Deep Learning and Edge Computing in Agriculture: A Comprehensive Review of Recent Trends and Innovations

Rice is a vital staple for over half of the global population, yet its production is significantly threatened by leaf diseases caused by fungal and bacterial pathogens. Early and accurate detection of such diseases is critical to minimizing crop loss, particularly under conditions of labor shortages...

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Bibliographic Details
Main Authors: Apri Junaidi, Siti Zaiton Mohd Hashim, Mohd Shahizan Bin Othman, Mohd Murtadha Bin Mohamad, Hitham Alhussian, Said Jadid Abdulkadir, Maged Nasser, Yunusa Adamu Bena
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Rice leaf disease detection
deep learning
edge computing
vision transformers
precision agriculture
Online Access:https://ieeexplore.ieee.org/document/11112602/
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https://ieeexplore.ieee.org/document/11112602/

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