FACTORS INFLUENCING THE IMPLEMENTATION OF DIGITALIZATION IN THE LIVESTOCK INDUSTRY 4.0
DOI:
https://doi.org/10.17770/etr2024vol1.8006Keywords:
Digitalization, Livestock Farms, Industry 4.0, AI, digital transition, efficiencyAbstract
The current era is characterized by a digital revolution, and businesses and industries are undergoing accelerated transformation. Now, terms like "Industry 4.0," "digitalization," and "smart" are frequently employed to describe these adjustments. To thrive in the current era, even Livestock Farms must adapt to this transition and employ digitalization. However, Livestock Farmers may delay associating their industry with digitalization and AI. To aid them in this transition, a scientific study was conducted to determine which livestock processes are useful for digitalization and their industry-wide advantages. In addition, it examines the viability of emerging technologies such as blockchain, IoT, Big Data, and AI in animal husbandry. By understanding each process and its digital solution, the various periods of digitalization can be defined.
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R. Stefanini and G. Vignali, “The Environmental, Economic and Social Impact of Industry 4.0 in the Food Sector: a Descriptive Literature Review,” IFAC-PapersOnLine, vol. 55, no. 10, pp. 1497–1502, 2022, doi: 10.1016/j.ifacol.2022.09.602.
M. Javaid, A. Haleem, R. P. Singh, and R. Suman, “Enhancing smart farming through the applications of Agriculture 4.0 technologies,” Int. J. Intell. Networks, vol. 3, pp. 150–164, 2022, doi: 10.1016/j.ijin.2022.09.004.
A. Amato et al., “Artificial Intelligence-Based Early Prediction Techniques in Agri-Tech Domain,” Lect. Notes Networks Syst., vol. 312, pp. 42–48, 2022, doi: 10.1007/978-3-030-84910-8_5.
J. Gomes et al., “A scientific software ecosystem architecture for the livestock domain,” Inf. Softw. Technol., vol. 160, 2023, doi: 10.1016/j.infsof.2023.107240.
K. Manikas, “Revisiting software ecosystems Research: A longitudinal literature study,” J. Syst. Softw., vol. 117, pp. 84–103, 2016, doi: 10.1016/j.jss.2016.02.003.
L. Ambrósio et al., “Enhancing the Reuse of Scientific Experiments for Agricultural Software Ecosystems,” J. Grid Comput., vol. 19, no. 4, 2021, doi: 10.1007/s10723-021-09583-x.
F. Gualdi and A. Cordella, “Artificial intelligence and decision-making: The question of accountability,” Proc. Annu. Hawaii Int. Conf. Syst. Sci., vol. 2020-Janua, pp. 2297–2306, 2021, doi: 10.24251/hicss.2021.281.
R. S. Alonso, I. Sittón-Candanedo, Ó. García, J. Prieto, and S. Rodríguez-González, “An intelligent Edge-IoT platform for monitoring livestock and crops in a dairy farming scenario,” Ad Hoc Networks, vol. 98, 2020, doi: 10.1016/j.adhoc.2019.102047.
D. Lovarelli, J. Bacenetti, and M. Guarino, “A review on dairy cattle farming: Is precision livestock farming the compromise for an environmental, economic and social sustainable production?,” J. Clean. Prod., vol. 262, 2020, doi: 10.1016/j.jclepro.2020.121409.
L. O. Tedeschi, P. L. Greenwood, and I. Halachmi, “Advancements in sensor technology and decision support intelligent tools to assist smart livestock farming,” J. Anim. Sci., vol. 99, no. 2, 2021, doi: 10.1093/jas/skab038.
E. Valchev, P. Malinov, T. Glushkova, and S. Stoyanov, “Approach for modeling and implementation of an intelligent system for livestock cattle on pastures,” IFAC-PapersOnLine, vol. 55, no. 32, pp. 211–216, 2022, doi: 10.1016/j.ifacol.2022.11.141.
S. Lertpiromsuk, P. Ueasangkomsate, and Y. Sudharatna, “Skills and Human Resource Management for Industry 4.0 of Small and Medium Enterprises,” Lect. Notes Networks Syst., vol. 236, pp. 613–621, 2022, doi: 10.1007/978-981-16-2380-6_54.
Y. Zhou, W. Tiemuer, and L. Zhou, “Bibliometric analysis of smart livestock from 1998-2022,” Procedia Comput. Sci., vol. 214, no. C, pp. 1428–1435, 2022, doi: 10.1016/j.procs.2022.11.327.
E. Totin et al., “Institutional perspectives of climate-smart agriculture: A systematic literature review,” Sustain., vol. 10, no. 6, 2018, doi: 10.3390/su10061990.
C. R. Eastwood, J. P. Edwards, and J. A. Turner, “Review: Anticipating alternative trajectories for responsible Agriculture 4.0 innovation in livestock systems,” Animal, vol. 15, 2021, doi: 10.1016/j.animal.2021.100296.
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Copyright (c) 2024 Hugo Mauricio Paz Roca, Vladimirs Šatrevičs, Irina Voronova, Rita Greitane
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