Revolutionizing agriculture with deep learning current trends and future directions

Deep learning (DL) presents new opportunities for agricultural technologies, offering superior accuracy over traditional methods. This study reviews 61 publications employing DL to address various agricultural issues, including disease identification, plant and crop detection, and classification. No...

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Bibliographic Details
Main Authors: Ahmad Radzi, Syafeeza, NORAZLINA BINTI ABD RAZAK, NORAZLINA BINTI ABD RAZAK, Mohd Zaimi, Muhammad Zaim, Amsan, Azureen Naja, Mohd Saad, Wira Hidayat, Abdul Hamid, Norihan
Format: Article
Language:en
Published: UTHM Publisher 2024
Online Access:http://eprints.utem.edu.my/id/eprint/28952/2/01145031220241439281315.pdf
http://eprints.utem.edu.my/id/eprint/28952/
https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/18227/6821
https://doi.org/10.30880/ijie.2024.16.03.018
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