Convolutional neural networks for quality and species sorting of roundwood with image and numerical data | Expert Systems with Applications: An International Journal

lights the potential of Machine Learning in augmenting the roundwood sorting processes and presents a novel system that can improve the efficiency and accuracy of the process.
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Highlights
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Automation of roundwood sorting: Replaces manual sorting with image-based AI.
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Integrated camera system in roundwood sorting to collect labeled dataset.
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Species prediction: 91% accuracy in spruce–fir distinction.
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Quality prediction on complexity reduced dataset: 80% accuracy between three main quality levels.
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Efficient, adaptable & scalable system whi

原文链接：https://dl.acm.org/doi/10.1016/j.eswa.2023.123117