蛋鸡健康监测和行为识别及死鸡移除系统研究进展

Research Progress on Health Monitoring, Behavior Recognition and Dead Chicken Removal System for Layer Production

大规模养鸡场产生的病鸡和死鸡如果不能及时发现和清理就会滋生病菌,给家禽和工作人员带来诸多危害。文章以蛋鸡养殖环境为背景,阐述了环境监测法、接触式监测法、人工观察法、声音监测法、机器视觉监测法等蛋鸡健康监测和行为识别的方法,并从不同监测方法的原理出发,分析了不同蛋鸡健康监测和行为识别方法分别存在的主要问题,总结了死鸡移除系统的研究和应用现状以及存在问题。结合以上技术分析,为改善蛋鸡养殖福利及解决病死鸡自动移除的问题,提出了病死鸡自动移除技术未来的研究重点与发展方向。

Sick and dead chickens produced in large-scale chicken farms are not found and cleaned in time, a large number of bacteria will breed, which will bring many hazards to poultry and staff in chicken farms. Based on the laying hens breeding environment, this paper summarized the methods of laying hens health monitoring and behavior recognition, such as environmental monitoring, contact monitoring, artificial observation, sound monitoring and machine vision monitoring;Based on the principles of different monitoring methods, the problems of different laying hens′ health monitoring and behavior recognition methods were analyzed. The research and application status of dead chicken removal system were summarized, and its main problems were analyzed. Combined with the above technical analysis, this paper put forward the future research focus and development direction of automatic removal technology of dead chickens, in order to improve the breeding welfare of laying hens and solve the problem of automatic removal of dead chickens.