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.

中文翻译：

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使用图像处理对瑞士棕色奶牛进行表型评估


棕色瑞士牛的表型评估是秘鲁安第斯地区用于识别和选择繁殖雌性的一种方法。选择是基于它们与理想乳制品构象的接近程度。这项任务由股票判断专家执行。在此背景下，本研究的目的是通过开发奶牛检测模型和用于识别和自动分类瑞士褐牛的决策支持系统，证明通过重叠模板对瑞士褐牛进行部分表型评估的可行性。使用 TensorFlow 对象检测 API 实时检测牛。采用学习迁移方法进行训练，并选择MobilNet作为预训练架构。因此开发了一款移动应用程序，通过自动调整和校准奶牛模板来确定动物是否具有瑞士棕色品种表型特征。