Federated Learning for Grading Oil Palm Fruit Ripeness in the Oil Palm Industry
The prevailing method for grading oil palm fruit bunches in mills relies on human graders conducting visual inspections, resulting in frequent errors and inconsistent assessments. This is a significant open problem when developing a detector for oil palm fruit ripeness and oil content, which are rel...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/acis/9241523 |
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