[1]何灿隆,沈明霞,刘龙申,等.基于加速度传感器的肉鸡步态检测方法研究与实现[J].南京农业大学学报,2019,42(2):365-372.[doi:10.7685/jnau.201803024]
 HE Canlong,SHEN Mingxia,LIU Longshen,et al.The research and realization of the method for the gait detection in broilers based on acceleration sensor[J].Journal of Nanjing Agricultural University,2019,42(2):365-372.[doi:10.7685/jnau.201803024]
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基于加速度传感器的肉鸡步态检测方法研究与实现()
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《南京农业大学学报》[ISSN:1000-2030/CN:32-1148/S]

卷:
42卷
期数:
2019年2期
页码:
365-372
栏目:
食品与工程
出版日期:
2019-03-19

文章信息/Info

Title:
The research and realization of the method for the gait detection in broilers based on acceleration sensor
作者:
何灿隆1 沈明霞1 刘龙申1 陆明洲1 孙玉文1 刘志刚2
1. 南京农业大学工学院/江苏省智能化农业装备重点实验室, 江苏 南京 210031;
2. 南通科技职业学院, 江苏 南通 226007
Author(s):
HE Canlong1 SHEN Mingxia1 LIU Longshen1 LU Mingzhou1 SUN Yunwen1 LIU Zhigang2
1. College of Engineering/Laboratory of Modern Facility Agriculture Technology and Equipment Engineering of Jiangsu Province, Nanjing Agricultural University, Nanjing 210031, China;
2. Nantong Vocational College of Science and Technology, Nantong 226007, China
关键词:
肉鸡三轴加速度跛行检测行走自检测跛行程度
Keywords:
broilersthree-axis accelerationlameness detectionwalking self-detectionlameness degree
分类号:
S126
DOI:
10.7685/jnau.201803024
摘要:
[目的] 针对目前平养肉鸡跛行检测主要依靠饲养员的人为观察,存在主观因素强、效率低等问题,提出一种基于三轴加速度传感器的肉鸡步态检测方法。[方法] 研制了一种基于三轴加速度传感器的无线运动脚环,通过肉鸡行走自检测(WSD)算法确定肉鸡行走的有效数据点,利用逻辑回归算法建立肉鸡健康与跛行二分类模型,最后通过欧氏距离度量肉鸡跛行程度。[结果] 无线运动脚环能快速采集和传输肉鸡腿部运动信息,肉鸡健康与跛行二分类模型的平均准确率为93.88%,通过欧氏距离可以近似表征肉鸡跛行的严重程度。[结论] 提出了一套肉鸡步态自动检测算法,为平养条件下肉鸡步态检测提供一种新方法。
Abstract:
[Objectives] The current modes of broiler lameness detection system mainly rely on breeders,and hence are always faced with the problem of subjectivity and unreliability. This study proposes a gait detection system based on three-axis acceleration sensor.[Methods] A wireless foot-loop based on three-axis acceleration sensor was developed. The effective data points for broiler walk was determined by a walking self-detection(WSD) algorithm. Logistic Regression algorithm was used to establish a two-class model for health-lameness in broilers,and finally,the degree of lameness was measured by Euclidean distance.[Results] The test results showed that the wireless foot-loop could quickly collect and transmit the broiler leg movement information. The average accuracy rate of broiler health-lameness two-class model was 93.88%. The Euclidean distance approximated the extent of lameness.[Conclusions] An automatic detection algorithm for broiler gait was proposed to provide a new method for broiler gait detection underfloor system.

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备注/Memo

备注/Memo:
收稿日期:2018-3-14。
基金项目:国家重点研发计划项目(2017YFD0701602-2);南通市市级科技计划(指导性)项目(YYZ16032)
作者简介:何灿隆,硕士研究生。
通信作者:沈明霞,教授,博导,主要从事机器视觉与信息农业研究,E-mail:mingxia@njau.edu.cn。
更新日期/Last Update: 1900-01-01