Convolutional neural network (CNN)-based computer vision systems have been
increasingly applied in animal farming to improve animal management, but current …

Simple Summary Machine learning (ML) offers new approaches for analyzing data and is
particularly interesting for large datasets. Dairy farmers implement a wide range of sensors …

The number of animals worldwide is increasing day by day to meet the increasing animal
protein needs. Depending on the increase in animal production, yield amount which can be …

Simple Summary This study proposes an automatic classification system for determining
body condition score in dairy cows using a deep learning architecture. An original dataset …

目前奶牛体况评分主要为人工, 但受人工主观性影响, 评分结果的可靠性较差,
评定过程耗时费力, 严重依赖于评估人员的经验, 基于计算机视觉的奶牛体况评分研究逐渐成为 …

Accurate and efficient monitoring of animal information, timely analysis of animal
physiological and physical health conditions, and automatic feeding and farming …

Featured Application non-invasive real-time health monitoring of dairy cows; early
diagnostics and disease prevention in veterinary medicine; health risk control in animal …

Body condition score or body condition assessment, which is a quantitative analysis of the
fat content in an animal's body. The transformer model is widely used in computer vision …

准确高效地监测动物信息, 及时分析动物的生理与身体健康状况, 并结合智能化技术进行自动饲
喂和养殖管理, 对于家畜规模化养殖意义重大. 深度学习技术由于具有自动特征提取和强大图像 …

Computer vision deals with image-based problems, such as deep learning, classification,
and object detection. This study classifies the quality of dairy parents into three, namely high …