Passive radio frequency identification and video tracking for the determination of location and movement of broilers
ABSTRACT: 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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | Poultry Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0032579122007064 |
| _version_ | 1828001888597966848 |
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| author | J.E. Doornweerd G. Kootstra R.F. Veerkamp B. de Klerk I. Fodor M. van der Sluis A.C. Bouwman E.D. Ellen |
| author_facet | J.E. Doornweerd G. Kootstra R.F. Veerkamp B. de Klerk I. Fodor M. van der Sluis A.C. Bouwman E.D. Ellen |
| author_sort | J.E. Doornweerd |
| collection | DOAJ |
| description | ABSTRACT: 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 different sensors can differ in their assessment. In this study a comparison was made between a passive radio frequency identification (RFID) system (grid of antennas underneath the pen) and video tracking for the determination of location and movement of 3 color-marked broilers at d 18. Furthermore, a systems comparison of derived behavioral metrics such as space usage, locomotion 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 location 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 difference (≤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. |
| first_indexed | 2024-04-10T06:35:39Z |
| format | Article |
| id | doaj.art-e4aa33a254354c65a66a4e031cd3be1d |
| institution | Directory Open Access Journal |
| issn | 0032-5791 |
| language | English |
| last_indexed | 2024-04-10T06:35:39Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Poultry Science |
| spelling | doaj.art-e4aa33a254354c65a66a4e031cd3be1d2023-03-01T04:30:15ZengElsevierPoultry Science0032-57912023-03-011023102412Passive radio frequency identification and video tracking for the determination of location and movement of broilersJ.E. Doornweerd0G. Kootstra1R.F. Veerkamp2B. de Klerk3I. Fodor4M. van der Sluis5A.C. Bouwman6E.D. Ellen7Animal Breeding and Genomics, Wageningen University & Research, 6700 AH Wageningen, the Netherlands; Corresponding author:Farm Technology, Wageningen University & Research, 6700 AA Wageningen, the NetherlandsAnimal Breeding and Genomics, Wageningen University & Research, 6700 AH Wageningen, the NetherlandsResearch & Development, Cobb Europe BV, 5831 GH Boxmeer, the NetherlandsAnimal Breeding and Genomics, Wageningen University & Research, 6700 AH Wageningen, the NetherlandsAnimal Breeding and Genomics, Wageningen University & Research, 6700 AH Wageningen, the NetherlandsAnimal Breeding and Genomics, Wageningen University & Research, 6700 AH Wageningen, the NetherlandsAnimal Breeding and Genomics, Wageningen University & Research, 6700 AH Wageningen, the NetherlandsABSTRACT: 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 different sensors can differ in their assessment. In this study a comparison was made between a passive radio frequency identification (RFID) system (grid of antennas underneath the pen) and video tracking for the determination of location and movement of 3 color-marked broilers at d 18. Furthermore, a systems comparison of derived behavioral metrics such as space usage, locomotion 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 location 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 difference (≤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.http://www.sciencedirect.com/science/article/pii/S0032579122007064broileractivitydeep learningtrackingsensors |
| spellingShingle | J.E. Doornweerd G. Kootstra R.F. Veerkamp B. de Klerk I. Fodor M. van der Sluis A.C. Bouwman E.D. Ellen Passive radio frequency identification and video tracking for the determination of location and movement of broilers Poultry Science broiler activity deep learning tracking sensors |
| title | Passive radio frequency identification and video tracking for the determination of location and movement of broilers |
| title_full | Passive radio frequency identification and video tracking for the determination of location and movement of broilers |
| title_fullStr | Passive radio frequency identification and video tracking for the determination of location and movement of broilers |
| title_full_unstemmed | Passive radio frequency identification and video tracking for the determination of location and movement of broilers |
| title_short | Passive radio frequency identification and video tracking for the determination of location and movement of broilers |
| title_sort | passive radio frequency identification and video tracking for the determination of location and movement of broilers |
| topic | broiler activity deep learning tracking sensors |
| url | http://www.sciencedirect.com/science/article/pii/S0032579122007064 |
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