计算机视觉技术在家禽养殖与公鸡选种中应用综述

Computer Vision in Poultry Breeding and Rooster Selection

我国家禽养殖规模和数量在不断扩大,智能化养殖是当前家禽饲养监管的热点研究方向。计算机视觉技术能够提供无创、非侵入式、低成本、高效益的动物行为识别方式,用于检测鸡群活动水平、诊断疾病和发现死禽。总结了用于检测鸡和识别鸡行为的视觉系统,并从表型参数和行为参数两方面分别回顾了与繁殖性能的相关关系、表型性状特征提取与识别以及行为识别算法;分析了当前视觉系统存在的问题并提出其优化策略;讨论了基于计算机视觉技术选留优质种公鸡的可行性,并初步提出了公鸡选种算法框架。最后展望了计算机视觉技术在家禽养殖行业的应用前景及优化方向。

With Chinese poultry production scale and quantity expanding,intelligent breeding is the current hot research direction of the regulation of poultry.Computer vision technology can be used to provide a noninvasive,non-invasive,low-cost and highly effective way to identify animals’behaviors to detect the activity level,diagnose the diseases of chickens and find the dead ones.The visual systems of chicken detection and behavior recognition were summarized,and the correlativity between the phenotypic parameters,behavior parameters and reproductivity respectively,phenotypic feature extraction and recognition and behavior recognition algorithm were reviewed;the problems in visual system were analyzed,the optimization strategy was put forward;the feasibility of using computer vision technique to select high quality breeder rooster was discussed,and the rooster selection algorithm framework was preliminarily proposed.Finally,the applied prospects and the optimization directions of computer vision technology in the poultry industry were expected.