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Date created: 2023-04-28 04:28 PM | Last Updated: 2024-06-14 10:09 AM

Identifier: DOI 10.17605/OSF.IO/EJ5QV

Category: Project

Description: In this project, the ripeness and diseases of strawberries are detected and classified through CNN. Is supports the paper: Aghamohammadesmaeilketabforoosh, K.; Nikan, S.; Antonini, G.; Pearce, J.M. Optimizing Strawberry Disease and Quality Detection with Vision Transformers and Attention-Based Convolutional Neural Networks. Foods 2024, 13, 1869. https://doi.org/10.3390/foods13121869

License: GNU General Public License (GPL) 3.0

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Tags

computer visionimage classificationmachine learningMobileNetV2monitoringResNet18strawberriesvision transformersyield monitoring

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