Digitization in Agriculture: A Timely Challenge for Ecological Perspectives
DOI:
https://doi.org/10.18034/apjee.v5i2.619Keywords:
Digitization, digital agriculture, ecological sustainabilityAbstract
The main focus of political debates on digital agriculture has been on environmental sustainability. So far, the literature has primarily ignored social sustainability, notably labor issues. This is worrisome because digitization may fundamentally alter farming techniques and labor processes, potentially affecting rural development, rural communities, and migratory workers. It examines how digital technology affects labor in horticulture and agricultural fields. To incorporate labor into the debates around agriculture and digitalization, this article provides a detailed picture of how digital technologies affect agricultural labor. Results suggest new forms of labor management, intensification of work processes, and risks of working-class fragmentation along age lines. Digitalization has not resulted in worker or farmer deskilling. The claim of greater worker dependency due to reduced agricultural employment possibilities is disputed. The importance of creating agricultural policies that promote fair and equitable working conditions.
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Adusumalli, H. P. (2016a). Digitization in Production: A Timely Opportunity. Engineering International, 4(2), 73-78. https://doi.org/10.18034/ei.v4i2.595
Adusumalli, H. P. (2016b). How Big Data is Driving Digital Transformation?. ABC Journal of Advanced Research, 5(2), 131-138. https://doi.org/10.18034/abcjar.v5i2.616
Adusumalli, H. P. (2017a). Mobile Application Development through Design-based Investigation. International Journal of Reciprocal Symmetry and Physical Sciences, 4, 14–19. Retrieved from https://upright.pub/index.php/ijrsps/article/view/58
Adusumalli, H. P. (2017b). Software Application Development to Backing the Legitimacy of Digital Annals: Use of the Diplomatic Archives. ABC Journal of Advanced Research, 6(2), 121-126. https://doi.org/10.18034/abcjar.v6i2.618
Adusumalli, H. P., & Pasupuleti, M. B. (2017). Applications and Practices of Big Data for Development. Asian Business Review, 7(3), 111-116. https://doi.org/10.18034/abr.v7i3.597
Littler, C. R., Salaman, G. B. and Beyond. (1982). Recent Theories of the Labour Process. Sociology. 16, 251–269.
Pant, L. P. and Odame, H. H. (2017). Broadband for a sustainable digital future of rural communities: A reflexive interactive assessment. J. Rural Stud., 54, 435–450.
Pasupuleti, M. B. (2015a). Data Science: The Sexiest Job in this Century. International Journal of Reciprocal Symmetry and Physical Sciences, 2, 8–11. Retrieved from https://upright.pub/index.php/ijrsps/article/view/56
Pasupuleti, M. B. (2015b). Problems from the Past, Problems from the Future, and Data Science Solutions. ABC Journal of Advanced Research, 4(2), 153-160. https://doi.org/10.18034/abcjar.v4i2.614
Pasupuleti, M. B. (2015c). Stimulating Statistics in the Epoch of Data-Driven Innovations and Data Science. Asian Journal of Applied Science and Engineering, 4, 251–254. Retrieved from https://upright.pub/index.php/ajase/article/view/55
Pasupuleti, M. B. (2016a). The Use of Big Data Analytics in Medical Applications. Malaysian Journal of Medical and Biological Research, 3(2), 111-116. https://doi.org/10.18034/mjmbr.v3i2.615
Pasupuleti, M. B. (2016b). Data Scientist Careers: Applied Orientation for the Beginners. Global Disclosure of Economics and Business, 5(2), 125-132. https://doi.org/10.18034/gdeb.v5i2.617
Selwyn, B. (2009). Labour flexibility in export horticulture: A case study of northeast Brazilian grape production. J. Peasant Stud. 36, 761–782.
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