The Application of Cameras in Precision Pig Farming: An Overview for Swine-Keeping Professionals
Pork is the meat with the second-largest overall consumption, and chicken, pork, and beef together account for 92% of global meat production. Therefore, it is necessary to adopt more progressive methodologies such as precision livestock farming (PLF) rather than conventional methods to improve produ...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Animals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-2615/11/8/2343 |
| _version_ | 1827686139034599424 |
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| author | Elanchezhian Arulmozhi Anil Bhujel Byeong-Eun Moon Hyeon-Tae Kim |
| author_facet | Elanchezhian Arulmozhi Anil Bhujel Byeong-Eun Moon Hyeon-Tae Kim |
| author_sort | Elanchezhian Arulmozhi |
| collection | DOAJ |
| description | Pork is the meat with the second-largest overall consumption, and chicken, pork, and beef together account for 92% of global meat production. Therefore, it is necessary to adopt more progressive methodologies such as precision livestock farming (PLF) rather than conventional methods to improve production. In recent years, image-based studies have become an efficient solution in various fields such as navigation for unmanned vehicles, human–machine-based systems, agricultural surveying, livestock, etc. So far, several studies have been conducted to identify, track, and classify the behaviors of pigs and achieve early detection of disease, using 2D/3D cameras. This review describes the state of the art in 3D imaging systems (i.e., depth sensors and time-of-flight cameras), along with 2D cameras, for effectively identifying pig behaviors and presents automated approaches for the monitoring and investigation of pigs’ feeding, drinking, lying, locomotion, aggressive, and reproductive behaviors. |
| first_indexed | 2024-03-10T09:04:12Z |
| format | Article |
| id | doaj.art-460d740c044e4e6aac6dfee3f72fa703 |
| institution | Directory Open Access Journal |
| issn | 2076-2615 |
| language | English |
| last_indexed | 2024-03-10T09:04:12Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Animals |
| spelling | doaj.art-460d740c044e4e6aac6dfee3f72fa7032023-11-22T06:30:45ZengMDPI AGAnimals2076-26152021-08-01118234310.3390/ani11082343The Application of Cameras in Precision Pig Farming: An Overview for Swine-Keeping ProfessionalsElanchezhian Arulmozhi0Anil Bhujel1Byeong-Eun Moon2Hyeon-Tae Kim3Department of Bio-Systems Engineering, Institute of Smart Farm, Gyeongsang National University, Jinju 52828, KoreaDepartment of Bio-Systems Engineering, Institute of Smart Farm, Gyeongsang National University, Jinju 52828, KoreaDepartment of Bio-Systems Engineering, Institute of Smart Farm, Gyeongsang National University, Jinju 52828, KoreaDepartment of Bio-Systems Engineering, Institute of Smart Farm, Gyeongsang National University, Jinju 52828, KoreaPork is the meat with the second-largest overall consumption, and chicken, pork, and beef together account for 92% of global meat production. Therefore, it is necessary to adopt more progressive methodologies such as precision livestock farming (PLF) rather than conventional methods to improve production. In recent years, image-based studies have become an efficient solution in various fields such as navigation for unmanned vehicles, human–machine-based systems, agricultural surveying, livestock, etc. So far, several studies have been conducted to identify, track, and classify the behaviors of pigs and achieve early detection of disease, using 2D/3D cameras. This review describes the state of the art in 3D imaging systems (i.e., depth sensors and time-of-flight cameras), along with 2D cameras, for effectively identifying pig behaviors and presents automated approaches for the monitoring and investigation of pigs’ feeding, drinking, lying, locomotion, aggressive, and reproductive behaviors.https://www.mdpi.com/2076-2615/11/8/2343early disease detectionpig behaviorprecision livestock farmingpig identificationcameras |
| spellingShingle | Elanchezhian Arulmozhi Anil Bhujel Byeong-Eun Moon Hyeon-Tae Kim The Application of Cameras in Precision Pig Farming: An Overview for Swine-Keeping Professionals Animals early disease detection pig behavior precision livestock farming pig identification cameras |
| title | The Application of Cameras in Precision Pig Farming: An Overview for Swine-Keeping Professionals |
| title_full | The Application of Cameras in Precision Pig Farming: An Overview for Swine-Keeping Professionals |
| title_fullStr | The Application of Cameras in Precision Pig Farming: An Overview for Swine-Keeping Professionals |
| title_full_unstemmed | The Application of Cameras in Precision Pig Farming: An Overview for Swine-Keeping Professionals |
| title_short | The Application of Cameras in Precision Pig Farming: An Overview for Swine-Keeping Professionals |
| title_sort | application of cameras in precision pig farming an overview for swine keeping professionals |
| topic | early disease detection pig behavior precision livestock farming pig identification cameras |
| url | https://www.mdpi.com/2076-2615/11/8/2343 |
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