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Neural Comput Appl 33(24):1692116936 Zhang HT, Tian M, Shao GP (2022) Target detection of forward-looking sonar image based on improved YOLOv5

This is of paramount importance for the sustainability of the tobacco industry and the economic well-being of tobacco farmers ( Despite the progress in tobacco classification techniques, including the use of hyperspectral imaging and machine learning models, the practical adoption of these methods has been limited due to high equipment costs, complexity, and the need for specialized skills ( The advantage of object detection methods in maturity recognition lies in their ability to accurately localize and categorize each target within images, thereby enabling rapid and efficient identification and classification of agricultural products at various stages of ripeness

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