山羊智慧繁殖管理技术研究进展OA

In recent years,the Internet of Things(IoT),artificial intelligence(AI),and big data technologies have been gradually applied to the livestock industry,promoting the transformation of goat breeding from experience-driven to data-driven.Currently,traditional goat breeding still faces problems such as low mating rates,high rates of abortion and lamb mortality,which restrict the improvement of goat reproductive efficiency.In response to these issues,scholars at home and abroad have conducted extensive researches in this area such as estrus monitoring,precise mating,pregnancy and delivery management,behavior tracking,and multi-source data fusion.This article systematically reviews the research progress in smart reproduction management of goats in recent years,introduces the application of sensors,image recognition,machine learning,and IoT platforms,analyzes the current technical application difficulties and future development directions,with the aim of providing references for the practice of smart goat breeding.