Toward resource-efficient UAV systems: Deep learning model compression for onboard-ready weed detection in UAV imagery
Convolutional neural networks (CNNs) have emerged as a powerful tool for detecting weeds in unmanned aerial vehicle (UAV) imagery. However, the deployment of deep learning models in UAVs intended for onboard processing is hindered by their large size, which demands significant computational resource...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525003193 |
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