Deep learning model for recognizing fresh and rotten fruits in industrial processes
The detection of fruit condition is essential to ensure quality control in industrial processes. Currently, this task is often performed manually, which is inefficient and time-consuming for operators. Therefore, it is crucial to implement emerging technologies that reduce human effort, costs, and...
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| Main Authors: | Carlos Arias, Camilo Baldovino, José Gómez, Brian Restrepo, Sergio Sánchez |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidad Tecnologica de Bolivar
2025-07-01
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| Series: | TESEA, Transactions on Energy Systems and Engineering Applications |
| Subjects: | |
| Online Access: | https://192.168.6.36/tesea/article/view/811 |
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