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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| Format: | article |
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2025
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| Online Access: | https://hdl.handle.net/11073/26040 |
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