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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| 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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