Phenotypic Evaluation Of Brown Swiss Dairy Cattle Using Images Processing


  • Hugo Alatrista-Salas Universidad del Pacífico
  • Julianna Milagros Apumayta Lopez Pontificia Universidad Católica del Perú
  • Eduardo Leuman Fuentes Navarro Universidad Nacional Agraria la Molina
  • Miguel Nunez-del-Prado Universidad del Pacífico


Object detection, Tensor Flow, Brown Swiss, MobileNet


Phenotypic evaluation of Brown Swiss cows is a method  used in the Peruvian Andean Region to identify and select breeding females. Selection is based on their closeness to ideal dairy conformation. This task is perform by a specialists in stock judging. Under this context, the aim of the present study was to demonstrate the feasibility to perform a partial phenotypic evaluation of Brown Swiss cows  by overlapping templates through development of a cow detection model and a  decision making support system for identification and automatic classification of Brown Swiss cattle. TensorFlow Object Detection API was used to detect the cow in real time. The learning transfer approach was used for training, and MobilNet was selected as a pre-trained architecture. The results were reflected in the development of a mobile app, which can determine, through the automatic adjustment and calibration of the template on the cow, whether an animal has Brown Swiss breed phenotypic characteristics.


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How to Cite

Alatrista-Salas, H., Apumayta Lopez, J. M., Fuentes Navarro, E. L., & Nunez-del-Prado, M. (2021). Phenotypic Evaluation Of Brown Swiss Dairy Cattle Using Images Processing. IEEE Latin America Transactions, 18(11), 1996–2002. Retrieved from