Tomato ripeness detection method based on FasterNet block and attention mechanism
In modern agriculture, accurate detection of tomato maturity is crucial for efficient harvesting and grading. Traditional detection methods rely on manual experience, which is time-consuming, inefficient, and prone to subjective interference, making them unsuitable for large-scale production. To add...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-06-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0280801 |
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