Employing Precision Livestock Production to Strengthen Dairy animal Management
Keywords:
Dairy production, accurate livestock farming (ALF), ruminants, animals, human
Abstract
This research offers a comprehensive analysis of modern dairy production that takes two important factors. We investigate the complex interactions that exist between people and dairy animals, with a particular emphasis on small ruminants, buffaloes, and dairy cattle. By bringing attention to the intricacies of these relationships, we can get important knowledge that will help to increase productivity and improve animal welfare. This research explores the field of Accurate Livestock Farming (ALF) and how it has changed the dairy industry. An examination of methods for assessing health, such as detecting lameness and mastitis, is provided in relation to dairy cattle. The definition of ALF technologies is expanded by including tiny ruminants in the discussion. Therefore, to increase the effectiveness and efficiency of handling, tiny ruminants, tailored intervention training programs are also required. With its emphasis on the critical interactions between the animal and human elements and its demonstration of the critical role that accuracy technology will play in influencing the direction of the dairy industry, this synthesis advances our comprehension of the dynamic field of dairy farming.
References
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Brito, L. F., Oliveira, H. R., McConn, B. R., Schinckel, A. P., Arrazola, A., Marchant-Forde, J. N., & Johnson, J. S. (2020). Large-scale phenotyping of livestock welfare in commercial production systems: A new frontier in animal breeding. Frontiers in genetics, 11, 793. DOI: 10.3389/fgene.2020.00793
Friggens, N. C., Adriaens, I., Boré, R., Cozzi, G., Jurquet, J., Kamphuis, C., ...& De Haas, Y. (2022). Resilience: reference measures based on longer-term consequences are needed to unlock the potential of precision livestock farming technologies for quantifying this trait. Peer Community Journal, 2. DOI: 10.24072/pcjournal.136
Vaintrub, M. O., Levit, H., Chincarini, M., Fusaro, I., Giammarco, M., & Vignola, G. (2021). Precision livestock farming, automats and new technologies: Possible applications in extensive dairy sheep farming. Animal, 15(3), 100143. DOI:10.1016/j.animal.2020.100143
Tzanidakis, C., Tzamaloukas, O., Simitzis, P., &Panagakis, P. (2023). Precision livestock farming applications (PLF) for grazing animals. Agriculture, 13(2), 288. DOI: 10.3390/agriculture13020288
Haldar, A., Mandal, S. N., Deb, S., Roy, R., &Laishram, M. (2022). Application of Information and Electronic Technology for Best Practice Management in Livestock Production System. In Agriculture, Livestock Production and Aquaculture: Advances for Smallholder Farming Systems Volume 2 (pp. 173-218). Cham: Springer International Publishing. DOI: 10.1007/978-3-030-93262-6_11
Krupitzer, C., & Stein, A. (2023). Unleashing the Potential of Digitalization in the Agri-Food Chain for Integrated Food Systems. Annual Review of Food Science and Technology, 15. DOI: 10.1146/annurev-food-012422-024649
Koltes, J. E., Cole, J. B., Clemmens, R., Dilger, R. N., Kramer, L. M., Lunney, J. K., ... & Reecy, J. M. (2019). A vision for development and utilization of high-throughput phenotyping and big data analytics in livestock. Frontiers in genetics, 10, 1197. DOI: 10.3389/fgene.2019.01197
Schillings, J., Bennett, R., & Rose, D. C. (2021). Exploring the potential of precision livestock farming technologies to help address farm animal welfare. Frontiers in Animal Science, 2. DOI: 10.3389/fanim.2021.639678
Tuyttens, F. A., Molento, C. F., & Benaissa, S. (2022). Twelve threats of precision livestock farming (PLF) for animal welfare. Frontiers in Veterinary Science, 9, 889623. DOI: 10.3389/fvets.2022.889623
Pardo, G., del Prado, A., Fernandez-Alvarez, J., Yanez-Ruiz, D. R., & Belanche, A. (2022). Influence of precision livestock farming on the environmental performance of intensive dairy goat farms. Journal of Cleaner Production, 351, 131518. DOI: 10.1016/j.jclepro.2022.131518
Silva, S. R., Araujo, J. P., Guedes, C., Silva, F., Almeida, M., &Cerqueira, J. L. (2021). Precision technologies to address dairy cattle welfare: Focus on lameness, mastitis and body condition. Animals, 11(8), 2253. DOI: 10.3390/ani11082253
Rijswijk, K., Klerkx, L., Bacco, M., Bartolini, F., Bulten, E., Debruyne, L., ...&Brunori, G. (2021). Digital transformation of agriculture and rural areas: A socio-cyber-physical system framework to support responsibilisation. Journal of Rural Studies, 85, 79-90. DOI: 10.1016/j.jrurstud.2021.05.003
Karunathilake, E. M. B. M., Le, A. T., Heo, S., Chung, Y. S., &Mansoor, S. (2023). The path to smart farming: Innovations and opportunities in precision agriculture. Agriculture, 13(8), 1593. DOI: 10.3390/agriculture13081593
Neethirajan, S. (2023). The Significance and Ethics of Digital Livestock Farming. AgriEngineering, 5(1), 488-505.DOI: 10.3390/agriengineering5010032
Waiblinger, S., &Lürzel, S. (2023). The Human-Animal Relationship and Cattle Welfare. In Cattle Welfare in Dairy and Beef Systems: A New Approach to Global Issues (pp. 225-263). Cham: Springer International Publishing. DOI: 10.1007/978-3-031-21020-4_9
Creamer, M., &Horback, K. (2021). Researching human-cattle interaction on rangelands: challenges and potential solutions. Animals, 11(3), 725. DOI: 10.3390/ani11030725
Chen, M., & Weary, D. M. (2022). “Cattle Welfare Is Basically Human Welfare”: Workers' Perceptions of ‘Animal Welfare'on Two Dairies in China. Frontiers in Veterinary Science, 8, 1703. DOI: 10.3389/fvets.2021.808767
Marmelo, C. S. SciMedicine Journal. DOI: 10.28991/SciMedJ-2022-04-03-04
Celozzi, S., Battini, M., Prato-Previde, E., &Mattiello, S. (2022). Humans and goats: Improving knowledge for a Better Relationship. Animals, 12(6), 774. DOI: 10.3390/ani12060774
Egon, K., &Oloyede, J. O. (2023). Advancements in Sensor Technologies for Precision Livestock Farming. DOI: 10.31219/osf.io/av68m
Neethirajan, S., & Kemp, B. (2021). Digital livestock farming. Sensing and Bio-Sensing Research, 32, 100408. DOI: 10.1016/j.sbsr.2021.100408
Islam, M. M., & Scott, S. D. (2021). Exploring the Effects of Precision Livestock Farming Notification Mechanisms on Canadian Dairy Farmers. In International Summit Smart City 360° (pp. 247-266). Cham: Springer International Publishing. DOI: 10.1007/978-3-031-06371-8_16
Napolitano, F., Serrapica, F., Braghieri, A., Masucci, F., Sabia, E., & De Rosa, G. (2019). Human-animal interactions in dairy buffalo farms. Animals, 9(5), 246. DOI: 10.3390/ani9050246
Mota-Rojas, D., Rosa, G. D., Mora-Medina, P., Braghieri, A., Guerrero-Legarreta, I., & Napolitano, F. (2019). Dairy buffalo behavior and welfare from calving to milking. CABI Reviews, (2019), 1-9. DOI: 10.1079/PAVSNNR201914035
Kang, X., Zhang, X. D., & Liu, G. (2020). Accurate detection of lameness in dairy cattle with computer vision: A new and individualized detection strategy based on the analysis of the supporting phase. Journal of dairy science, 103(11), 10628-10638. DOI: 10.3168/jds.2020-18288
Shahinfar, S., Khansefid, M., Haile-Mariam, M., & Pryce, J. E. (2021). Machine learning approaches for the prediction of lameness in dairy cows. Animal, 15(11), 100391. DOI: 10.1016/j.animal.2021.100391
Cogato, A., Brščić, M., Guo, H., Marinello, F., &Pezzuolo, A. (2021). Challenges and tendencies of automatic milking systems (AMS): A 20-years systematic review of literature and patents. Animals, 11(2), 356. DOI: 10.3390/ani11020356
Džermeikaitė, K., Bačėninaitė, D., &Antanaitis, R. (2023). Innovations in Cattle Farming: Application of Innovative Technologies and Sensors in the Diagnosis of Diseases. Animals, 13(5), 780. DOI: 10.3390/ani13050780
Groher, T., Heitkämper, K., &Umstätter, C. (2020). Digital technology adoption in livestock production with a special focus on ruminant farming. Animal, 14(11), 2404-2413. DOI: 10.3390/ani13050780
Brito, L. F., Oliveira, H. R., McConn, B. R., Schinckel, A. P., Arrazola, A., Marchant-Forde, J. N., & Johnson, J. S. (2020). Large-scale phenotyping of livestock welfare in commercial production systems: A new frontier in animal breeding. Frontiers in genetics, 11, 793. DOI: 10.3389/fgene.2020.00793
Friggens, N. C., Adriaens, I., Boré, R., Cozzi, G., Jurquet, J., Kamphuis, C., ...& De Haas, Y. (2022). Resilience: reference measures based on longer-term consequences are needed to unlock the potential of precision livestock farming technologies for quantifying this trait. Peer Community Journal, 2. DOI: 10.24072/pcjournal.136
Vaintrub, M. O., Levit, H., Chincarini, M., Fusaro, I., Giammarco, M., & Vignola, G. (2021). Precision livestock farming, automats and new technologies: Possible applications in extensive dairy sheep farming. Animal, 15(3), 100143. DOI:10.1016/j.animal.2020.100143
Tzanidakis, C., Tzamaloukas, O., Simitzis, P., &Panagakis, P. (2023). Precision livestock farming applications (PLF) for grazing animals. Agriculture, 13(2), 288. DOI: 10.3390/agriculture13020288
Haldar, A., Mandal, S. N., Deb, S., Roy, R., &Laishram, M. (2022). Application of Information and Electronic Technology for Best Practice Management in Livestock Production System. In Agriculture, Livestock Production and Aquaculture: Advances for Smallholder Farming Systems Volume 2 (pp. 173-218). Cham: Springer International Publishing. DOI: 10.1007/978-3-030-93262-6_11
Published
2024-01-01
How to Cite
Taskeen Zaidi, Jai prakash gupta, Pawan Bhambu. (2024). Employing Precision Livestock Production to Strengthen Dairy animal Management. Revista Electronica De Veterinaria, 24(3), 505-511. Retrieved from https://veterinaria.org/index.php/REDVET/article/view/477
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