2023
DOI: 10.3390/vetsci10010032
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Determination of Non-Digestible Parts in Dairy Cattle Feces Using U-NET and F-CRN Architectures

Abstract: Deep learning algorithms can now be used to identify, locate, and count items in an image thanks to advancements in image processing technology. The successful application of image processing technology in different fields has attracted much attention in the field of agriculture in recent years. This research was done to ascertain the number of indigestible cereal grains in animal feces using an image processing method. In this study, a regression-based way of object counting was used to predict the number of … Show more

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