Passive radio frequency identification and video tracking for the determination of location and movement of broilers

被引：14

作者：

Doornweerd, J. E. ^{[1
]}

Kootstra, G. ^{[2
]}

Veerkamp, R. F. ^{[1
]}

de Klerk, B. ^{[3
]}

Fodor, I. ^{[1
]}

van der Sluis, M. ^{[1
]}

Bouwman, A. C. ^{[1
]}

Ellen, E. D. ^{[1
]}

机构：

[1] Wageningen Univ Res, Anim Breeding & Genom, NL-6700 AH Wageningen, Netherlands

[2] Wageningen Univ Res, Farm Technol, NL-6700 AA Wageningen, Netherlands

[3] Cobb Europe BV, Res Dev, NL-5831 GH Boxmeer, Netherlands

来源：

POULTRY SCIENCE | 2023年 / 102卷 / 03期

关键词：

broiler; activity; deep learning; tracking; sensors; BEHAVIOR;

D O I：

10.1016/j.psj.2022.102412

中图分类号：

S8 [畜牧、动物医学、狩猎、蚕、蜂];

学科分类号：

0905 ;

摘要：

Phenotypes on individual animals are required for breeding programs to be able to select for traits. However, phenotyping individual animals can be difficult and time-consuming, especially for traits related to health, welfare, and performance. Individual broiler behavior could serve as a proxy for these traits when recorded automatically and reliably on many animals. Sensors could record individual broiler behavior, yet dif-ferent sensors can differ in their assessment. In this study a comparison was made between a passive radio fre-quency identification (RFID) system (grid of antennas underneath the pen) and video tracking for the determi-nation of location and movement of 3 color-marked broilers at d 18. Furthermore, a systems comparison of derived behavioral metrics such as space usage, locomo-tion activity and apparent feeding and drinking behavior was made. Color-marked broilers simplified the computer vision task for YOLOv5 to detect, track, and identify the animals. Animal locations derived from the RFID-system and based on video were largely in agreement. Most loca-tion differences (77.5%) were within the mean radius of the antennas' enclosing circle (<= 128 px, 28.15 cm), and 95.3% of the differences were within a one antenna differ-ence (<= 256 px, 56.30 cm). Animal movement was not always registered by the RFID-system whereas video was sensitive to detection noise and the animal's behavior (e. g., pecking). The method used to determine location and the systems' sensitivities to movement led to differences in behavioral metrics. Behavioral metrics derived from video are likely more accurate than RFID-system derived behavioral metrics. However, at present, only the RFID-system can provide individual identification for non-color marked broilers. A combination of verifiable and detailed video with the unique identification of RFID could make it possible to identify, describe, and quantify a wide range of individual broiler behaviors.

引用

页码：1 / 15

页数：15

共 25 条

[1] Kinematic Analysis Quantifies Gait Abnormalities Associated with Lameness in Broiler Chickens and Identifies Evolutionary Gait Differences [J].