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Mluba HS, Atif O, Lee J, Park D, Chung Y. Pattern Mining-Based Pig Behavior Analysis for Health and Welfare Monitoring. SENSORS (BASEL, SWITZERLAND) 2024; 24:2185. [PMID: 38610396 PMCID: PMC11013991 DOI: 10.3390/s24072185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 03/13/2024] [Accepted: 03/26/2024] [Indexed: 04/14/2024]
Abstract
The increasing popularity of pigs has prompted farmers to increase pig production to meet the growing demand. However, while the number of pigs is increasing, that of farm workers has been declining, making it challenging to perform various farm tasks, the most important among them being managing the pigs' health and welfare. This study proposes a pattern mining-based pig behavior analysis system to provide visualized information and behavioral patterns, assisting farmers in effectively monitoring and assessing pigs' health and welfare. The system consists of four modules: (1) data acquisition module for collecting pigs video; (2) detection and tracking module for localizing and uniquely identifying pigs, using tracking information to crop pig images; (3) pig behavior recognition module for recognizing pig behaviors from sequences of cropped images; and (4) pig behavior analysis module for providing visualized information and behavioral patterns to effectively help farmers understand and manage pigs. In the second module, we utilize ByteTrack, which comprises YOLOx as the detector and the BYTE algorithm as the tracker, while MnasNet and LSTM serve as appearance features and temporal information extractors in the third module. The experimental results show that the system achieved a multi-object tracking accuracy of 0.971 for tracking and an F1 score of 0.931 for behavior recognition, while also highlighting the effectiveness of visualization and pattern mining in helping farmers comprehend and manage pigs' health and welfare.
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Affiliation(s)
- Hassan Seif Mluba
- Department of Computer and Information Science, Korea University, Sejong City 30019, Republic of Korea; (H.S.M.); (O.A.)
| | - Othmane Atif
- Department of Computer and Information Science, Korea University, Sejong City 30019, Republic of Korea; (H.S.M.); (O.A.)
| | - Jonguk Lee
- Department of Computer Convergence Software, Sejong Campus, Korea University, Sejong City 30019, Republic of Korea;
| | - Daihee Park
- Department of Computer Convergence Software, Sejong Campus, Korea University, Sejong City 30019, Republic of Korea;
| | - Yongwha Chung
- Department of Computer Convergence Software, Sejong Campus, Korea University, Sejong City 30019, Republic of Korea;
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Manlove K, Wilber M, White L, Bastille‐Rousseau G, Yang A, Gilbertson MLJ, Craft ME, Cross PC, Wittemyer G, Pepin KM. Defining an epidemiological landscape that connects movement ecology to pathogen transmission and pace‐of‐life. Ecol Lett 2022; 25:1760-1782. [DOI: 10.1111/ele.14032] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 04/21/2022] [Accepted: 05/03/2022] [Indexed: 12/20/2022]
Affiliation(s)
- Kezia Manlove
- Department of Wildland Resources and Ecology Center Utah State University Logan Utah USA
| | - Mark Wilber
- Department of Forestry, Wildlife, and Fisheries University of Tennessee Institute of Agriculture Knoxville Tennessee USA
| | - Lauren White
- National Socio‐Environmental Synthesis Center University of Maryland Annapolis Maryland USA
| | | | - Anni Yang
- Department of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins Colorado USA
- National Wildlife Research Center, United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services National Wildlife Research Center Fort Collins Colorado USA
- Department of Geography and Environmental Sustainability University of Oklahoma Norman Oklahoma USA
| | - Marie L. J. Gilbertson
- Department of Veterinary Population Medicine University of Minnesota St. Paul Minnesota USA
- Wisconsin Cooperative Wildlife Research Unit, Department of Forest and Wildlife Ecology University of Wisconsin–Madison Madison Wisconsin USA
| | - Meggan E. Craft
- Department of Ecology, Evolution, and Behavior University of Minnesota St. Paul Minnesota USA
| | - Paul C. Cross
- U.S. Geological Survey Northern Rocky Mountain Science Center Bozeman Montana USA
| | - George Wittemyer
- Department of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins Colorado USA
| | - Kim M. Pepin
- National Wildlife Research Center, United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services National Wildlife Research Center Fort Collins Colorado USA
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Whetten AB. Smoothing splines of apex predator movement: Functional modeling strategies for exploring animal behavior and social interactions. Ecol Evol 2021; 11:17786-17800. [PMID: 35003639 PMCID: PMC8717279 DOI: 10.1002/ece3.8294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/08/2021] [Accepted: 10/13/2021] [Indexed: 11/11/2022] Open
Abstract
The collection of animal position data via GPS tracking devices has increased in quality and usage in recent years. Animal position and movement, although measured discretely, follows the same principles of kinematic motion, and as such, the process is inherently continuous and differentiable. I demonstrate the functionality and visual elegance of smoothing spline models. I discuss the challenges and benefits of implementing such an approach, and I provide an analysis of movement and social interaction of seven jaguars inhabiting the Taiamã Ecological Station, Pantanal, Brazil, a region with the highest known density of jaguars. In the analysis, I derive measures for pairwise distance, cooccurrence, and spatiotemporal association between jaguars, borrowing ideas from density estimation and information theory. These measures are feasible as a result of spline model estimation, and they provide a critical tool for a deeper investigation of cooccurrence duration, frequency, and localized spatio-temporal relationships between animals. In this work, I characterize a variety of interactive relationships between pairs of jaguars, and I particularly emphasize the relationships in movement of two male-female and two male-male jaguar pairs exhibiting highly associative relationships.
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Affiliation(s)
- Andrew B. Whetten
- Department of Mathematical SciencesUniversity of Wisconsin – MilwaukeeMilwaukeeWisconsinUSA
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Jorge-Neto PN, da Silva MCC, Csermak-Júnior AC, Salmão-Júnior JA, de Araújo GR, de Oliveira G, Leuzinger L, Pizzutto CS, de Deco-Souza T. Cryptorchidism in free-living jaguar ( Panthera onca): first case report. Anim Reprod 2020; 17:e20200555. [PMID: 33791034 PMCID: PMC7995260 DOI: 10.1590/1984-3143-ar2020-0555] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Cryptorchidism is a genital alteration wherein one or both testicles fail to descend into the scrotum and has multifactorial causes. A free-range adult male was captured twice in the Pantanal of Nhecolândia to put a GPS collar and semen collection. Pharmacological semen collection, andrological examination and semen analysis were performed. At the first capture and during the andrological examination only the left testis was found, and the male qualified as cryptorchid. The penis had no penile spines at either procedure. The semen volume obtained at first and second capture was 435 and 160 μL, respectively, with a concentration of 618 and 100 x 106 sperm/mL, progressive motility of ~ 5% and ~ 1% and total morphological sperm abnormalities of 74% and 86%. The male was monitored by a GPS collar, but the signal was lost, making it difficult to re-captures and perform new seminal and ultrasound evaluations to discard monorchidism - exceedingly rare in felids. Genetic studies to assess the individual's homozygosity are necessary to verify whether cryptorchidism in this individual has a genetic factor.
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Affiliation(s)
- Pedro Nacib Jorge-Neto
- Instituto Reprocon, Campo Grande, MS, Brasil.,Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo, São Paulo, SP, Brasil
| | - Maitê Cardoso Coelho da Silva
- Instituto Reprocon, Campo Grande, MS, Brasil.,Faculdade de Medicina Veterinária e Zootecnia, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brasil
| | - Antonio Carlos Csermak-Júnior
- Instituto Reprocon, Campo Grande, MS, Brasil.,Faculdade de Medicina Veterinária e Zootecnia, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brasil
| | - Jorge Aparecido Salmão-Júnior
- Instituto Reprocon, Campo Grande, MS, Brasil.,Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo, São Paulo, SP, Brasil
| | - Gediendson Ribeiro de Araújo
- Instituto Reprocon, Campo Grande, MS, Brasil.,Instituto de Biociências, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brasil
| | | | | | - Cristiane Schilbach Pizzutto
- Instituto Reprocon, Campo Grande, MS, Brasil.,Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo, São Paulo, SP, Brasil
| | - Thyara de Deco-Souza
- Instituto Reprocon, Campo Grande, MS, Brasil.,Faculdade de Medicina Veterinária e Zootecnia, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brasil
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