A research team from Bangladesh and Japan has developed an advanced AI model to identify defects in green coffee beans. This innovative approach aims to enhance quality control in coffee production, especially in developing countries. By utilizing the YOLO (You Only Look Once) algorithm, the researchers have created a model that can significantly improve the accuracy of defect detection compared to traditional hand sorting methods.
• The study tested six different YOLO models using over 5,000 high-resolution images of green coffee beans.
• The custom YOLOv8n model outperformed others in identifying defects like black, broken, faded, and sour beans.
• Despite its success, the model requires substantial computational resources and training time.
• The research primarily focused on coffee from one region, suggesting the need for broader datasets to validate the model's effectiveness elsewhere.
This development is crucial as it could transform coffee production processes, boosting economies and improving farmers' livelihoods in regions like Bangladesh. The potential for adapting this technology to other agricultural products could lead to widespread benefits in quality control across the industry.
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