Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : December 09, 2021 - December 10, 2021
In Japanese livestock farming, the number of cattle has been declining for 58 years with respect to both beef and dairy cattle due to the aging of the workforce and lack of successors. However, in terms of facilities and equipment for dairy farming, the introduction of milking robots and other have been actively promoted the scall up and automation of dairy farming. As a result, the idea of breeding cows while keeping them healthy has become to be considered less important than before because it is difficult to take care of more number of animals in detail. In particular, accidental deaths of calves and mothers during cow calving cause significant economic damage, and are an issue that needs to be addressed by modern livestock farmers. In this study, we aim to build a system that detects signs of cow calving and alerts the farmers through continuous monitoring using AI image recognition processing. We use an AI tool developed by SCSK Corporation to build an AI model for detecting the signs of calving in cows, and realize automatic detection of calving signs.
