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Field Collaborative Recognition Method and Experiment for Thermal Infrared Imaging of Damaged Potatoes

Jorge Luis Alonso

Agricultural data specialist uses AI to advance research | Innovative solutions for agriculture and medicine

发布日期: 2024年6月9日

The study describes a method using thermal infrared imaging and a heat transfer model to detect damaged potatoes and determine the optimal hot air inlet angle. An experimental device and simulation tests, including conveyor speed adjustments and response surface analysis, optimized the detection process. Evaluation metrics, including recall rate, demonstrated the method’s high accuracy in identifying damaged potatoes during harvest.

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