Determining Body Condition of Dairy Cows for Early Diagnosis of Physiological Diseases

The paper points out the problem with automated diagnostics of body condition in dairy cattle, including ketosis. conducted research is aimed at determining possibility for non-contact cattle physiological state on a daily basis. (Research purpose) To develop an algorithm complex operational cows by their live weight and condition. (Materials methods) Field data were collected 2021-2022 FSUE Grigoryevskoye (Yaroslavl Region), Istra Cheese Factory Lenin Dairy State Farm (Moscow Region). A commercial 3D ToF (Time-of-Flight) camera O3D303 was used. capable calculating displaying Point Cloud space as multidimensional array. program received 144 images, 136 images passed filtering stage, 6 did not detect areas interest, because high level image noise, sacrum detected. 62 subject to research. (Results discussion) sample dependence are proved be representative Pearson correlation coefficient equals R=0.849, which shows strong linear relationship between score weight. It determined that 24 percent cases less than least normal one. An developed help veterinarians animals need additional examination. (Conclusions) found helps quickly ketosis automatically diagnose diseases early without labor monetary costs.