Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Weidian Chen"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Accurate and efficient detection and segmentation of the urine formed element plays a vital role in the clinical diagnosis and treatment of many diseases, such as urinary system diseases, kidney diseases, and other diseases. However, artific
Externí odkaz:
https://doaj.org/article/29f494f13adf4ba58c6caae257995c59
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100566- (2024)
Automatic analysis of pig behavior is crucial for assessing their health and welfare status in group-housed pig farms. Currently, computer vision technology has been widely applied to recognize and track pig behavior. However, these applications lack
Externí odkaz:
https://doaj.org/article/820b7466a4624f3b9a3660701637c976
Publikováno v:
Animals, Vol 14, Iss 22, p 3299 (2024)
Daily behavioral analysis of group-housed pigs provides critical insights into early warning systems for pig health issues and animal welfare in smart pig farming. In this study, our main objective was to develop an automated method for monitoring an
Externí odkaz:
https://doaj.org/article/14b8e98019d2433f9a7c4bee0117ee52
Publikováno v:
Animals, Vol 14, Iss 19, p 2828 (2024)
Smart farming technologies to track and analyze pig behaviors in natural environments are critical for monitoring the health status and welfare of pigs. This study aimed to develop a robust multi-object tracking (MOT) approach named YOLOv8 + OC-SORT(
Externí odkaz:
https://doaj.org/article/24af6039ad3f48ccb9344d2bb683658b