Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment

The deployment of machine learning models on mobile platforms has ushered in a new era of innovation across diverse sectors, including agriculture, where such applications hold immense promise for empowering farmers with cutting-edge technologies. In this context, the threat posed by insects to crop...

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Bibliographic Details
Main Authors: Muhammad Hannan Akhtar, Ibrahim Eksheir, Tamer Shanableh
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/16/5/348
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