Producción científica
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Item type:Publication, Phenotypic evaluation of brown Swiss dairy cattle using images processing(IEEE Computer Society, 2020-11-01)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. As result a mobile app was developed to determine whether an animal has Brown Swiss breed phenotypic characteristics through an automatic adjustment and calibration of a cow's template.3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mobiloscope: a technological solution for early mastitis detection in dairy cattle(Institute of Electrical and Electronics Engineers Inc., 2021-12-23)One of the most critical challenges in dairy farms is the Mastistis condition causing economic losses associated with milk production reduction and veterinary treatment expenses. Although it exists different methodologies for diagnosing animals with mastitis, these tests are usually indirect; others require laboratory analysis taking a lot of time to obtain the result, limiting its viability and monitoring in the field. To solve this problem, we propose a Mobiloscope, which is a portable, practical, effective, and low-cost diagnostic system for sub-clinical mastitis. Hence, this device provides an early detection in-situ and at a low cost to cover farmers' unsatisfied demand for having innovative tools that allow them to carry out better sub-clinical mastitis early detection. Our system comprises four components: (i) the holder for the electronic device and the screen to display the graphic interface; (ii) a part where the battery for the micro-computer will be housed; (iii) a dedicated part for the microscope and sample holder; and (iv) a holder for the light source. Despite the need to validate the prototype for commercial purposes, our prototype is able to estimate the number of somatic cells. Therefore, our mobiloscope could help the farmers to make an in-situ analysis of milk quality at a low-cost.
