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Convolutional Neural Networks - Driven Automation of Dairy Cow Nutritional Assessment

Abstract

The integration of Convolutional Neural Networks (CNNs) into dairy cow nutritional assessment offers a revolutionary approach to overcoming the inefficiencies of traditional methods. By automating the evaluation process, CNNs enhance accuracy, consistency, and efficiency in assessing body condition, muscle tone, and fat deposits. This technology facilitates early detection of nutritional issues and supports informed decision-making, ultimately improving herd health and productivity. Future research should focus on refining model robustness and integrating multi-modal data to further advance dairy farm management practices.

Kevin Soto*

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