Automated computer vision system to predict body weight and average daily gain in beef cattle during growing and finishing phases

• Published in: Livestock science Vol. 232; p. 103904
• Main Authors: Cominotte, A., Fernandes, A.F.A., Dorea, J.R.R., Rosa, G.J.M., Ladeira, M.M., van Cleef, E.H.C.B., Pereira, G.L., Baldassini, W.A., Machado Neto, O.R.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.02.2020
• Subjects: animal growth; automation; average daily gain; Beef cattle; biometry; body weight; Computer vision; feedlots; Image analysis; Kinect; Nellore; prediction; Kinect; Beef cattle; Computer vision; Image analysis

•Computer vision system can be used to predict body weight with good accuracy and precision in Nellore cattle.•The main difference in this study are the absence of manual feature extraction.•Artificial Neural Networks increase accuracy and precision of body weight prediction. Frequent measurements o...