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Mangoes Taste Detection System Using Deep Learning
Conference proceeding

Mangoes Taste Detection System Using Deep Learning

Md. Nawab Yousuf Ali, Golam Sorwar and Md. Lizur Rahman
2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP), pp.1-5
3rd International conference on Artificial Intelligence and Signal Processing (AISP), 3rd (Vijayawada, India, 18/03/2023–20/03/2023)
18/03/2023
DOI: https://doi.org/10.1109/AISP57993.2023.10134902

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Abstract

Deep learning Mango Modified YOLO v3 detection of mango taste
Machines have evolved significantly in recent years due to incorporating new technology. As a result, advanced machine learning and image processing have become hot issues for scholars. This study provides a deep learning-based enhanced approach for detecting mango tastes (sweet and sour) from mango photos. A total of 3132 mango image data were used for training and validation. This system employs a modified YOLO v3 algorithm. On sour mango data, this system received 0.84 for average precision (AP), 0.75 for precision, 0.94 for recall (true positive rate), and 0.83 for F1-score (combination of precision and recall), whereas, on sweet mango data, this system received 0.97 for AP, 0.98 for precision, 0.97 for recall, and 0.98 for F1-score.

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