The Segment Anything Model (SAM) for accelerating the smart farming revolution
Precision agriculture uses accurate identification and mapping of crop features by automated mechanisms. Using computer vision techniques implemented by supervised deep learning systems to solve many precision agricultural problems necessitates large-scale data collection and prolonged ground truth...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375523001958 |