Current Science

Open Access Open Access  Restricted Access Subscription Access

Digital transformation for sustainable agriculture: a progressive method for smallholder farmers


Affiliations
1 Dr Rajendra Prasad Central Agricultural University, Pusa 848 125, India, India
 

Farming and agri-production system is in danger. The agriculture sector is continuously posing threats to life and living. Challenges have become a common phenomenon for sustainable agriculture. According to the SDG 2030 goals, to achieve ‘Zero Hunger’ status, the system demands a holistic and adaptive food ecosystem. Digitization will revolutionize the current food system, provided the farmers can adopt and apply it in their routine farming operations. In rural areas, digital literacy is crucial for using digital technology. Establishing and strengthening a ‘digital agriculture ecosystem’ requires suitable environment from grassroots innovations from the farmers’ perspective

Keywords

Climate change, digital transformation, rural population, smallholder farmers, sustainable agriculture.
User
Notifications
Font Size

  • Finger, R., Swinton, S. M., El Benni, N. and Walter, A., Precision farming at the nexus of agricultural production and the environ-ment. Annu. Rev. Resour. Econ., 2019, 11(1), 313–335; https:// doi.org/10.1146/annurev-resource-100518-093929.

  • Bacco, P., Alexander, P., Moran, D., Rounsevell, M. D. A. and Smith, P., OECD, 2019 Modelling the perennial energy crop market: the role of spatial diffusion. J. R. Soc. Interf., 2013, 10, 20130656; https://doi.org/10.1098/rsif.2013.0656.

  • Walter, A., Finger, R., Huber, R. and Buchmann, N., Opinion: smart farming is key to developing sustainable agriculture. Proc. Natl. Acad. Sci. USA, 2017, 114(24), 6148–6150; https://doi.org/10.1073/pnas.1707462114.

  • Torky, M. and Hassanein, A. E., Integrating blockchain and the in-ternet of things in precision agriculture: analysis, opportunities, and challenges. Comput. Electron. Agric., 2020, 178, 105476; https:// doi.org/10.1016/j.compag.2020.105476.

  • Rogers, E. M., Diffusion of Innovations (5th edition), The Free Press, London, UK, 2003.

  • Davis, F. D., Technology acceptance model for empirically testing new end-user information systems: theory and results. Doctoral dis-sertation, Massachusetts Institute of Technology, USA, 1985.

  • Food and Agriculture Organization (FAO), Information and com-munication technology (ICT) in agriculture: a report to the G20 Agricultural Deputies, FAO, Rome, Italy, 2017.

  • Alexander, P., Moran, D., Rounsevell, M. D. A. and Smith, P., Modelling the perennial energy crop market: the role of spatial dif-fusion. Sustainability, 2020, 12, 8596; doi:10.3390/su12208596-www.mdpi.com/journal/sustainability.

  • Aubert, B. A., Schroeder, A. and Grimaudo, J., IT as enabler of sustainable farming: an empirical analysis of farmers’ adoption de-cision of precision agriculture technology. Decis. Support. Syst., 2012, 54(1), 510–520; https://doi.org/10.1016/j.dss.2012.07.002.

  • Dessart, F. J., Barreiro-Hurlé, J. and van Bavel, R., Behavioural factors affecting the adoption of sustainable farming practices: a policy-oriented review. Eur. Rev. Agric. Econ., 2019, 46(3), 417–471; https://doi.org/10.1093/erae/jbz019.

  • Drewry, J. L., Shutske, J. M., Trechter, D., Luck, B. D. and Pitman, L., Assessment of digital technology adoption and access barriers among crop, dairy and livestock producers in Wisconsin. Comput. Electron. Agric., 2019, 165, 104960; https://doi.org/10.1016/j.compag.2019.104960.

  • ILOSTAT, Employment database. International Labour Orga-nization, Geneva, Switzerland, 2019 (retrieved May 2019).

  • Walton, D. M. et al., Jeanne Adoption and abandonment of preci-sion soil sampling in cotton production. J. Agric. Resour. Econ.,2008, 33(3), 428–448; 10.22004/ag.econ.46556.

  • Klerkx, L., Jakku, E. and Labarthe, P., A review of social science on digital agriculture, smart farming and agriculture 4.0: New con-tributions and a future research agenda. NJAS – Wageningen J. Life Sci., 90–91, 100315; https://doi.org/10.1016/j.njas.2019.100315.

  • Kutter, T., Tiemann, S., Siebert, R. and Fountas, S., The role of communication and cooperation in the adoption of precision farm-ing. Precis. Agric., 2011, 12(1), 2–17; https://doi.org/10.1007/s111-19-009-9150-0.

  • Lowder, S. K., Skoet, J. and Raney, T., The number, size and dis-tribution of farms, smallholder farms, and family farms worldwide. World Dev., 2016, 86, 16–29.

  • Zheng, S., Wang, Z. and Wachenheim, C. J., Technology adoption among farmers in Jilin Province, China. China Agric. Econ. Rev.,2018, 11(1), 206–216; 10.1108/CAER-11-2017-0216. Towards using ICT to enhance flow of information to aid farmer sustainability in Sri Lanka December 2012, Australasian Conference on Information Systems (ACIS), vol. 23, pp. 1–10


Abstract Views: 392

PDF Views: 155




  • Digital transformation for sustainable agriculture: a progressive method for smallholder farmers

Abstract Views: 392  |  PDF Views: 155

Authors

Bineeta Satpathy
Dr Rajendra Prasad Central Agricultural University, Pusa 848 125, India, India

Abstract


Farming and agri-production system is in danger. The agriculture sector is continuously posing threats to life and living. Challenges have become a common phenomenon for sustainable agriculture. According to the SDG 2030 goals, to achieve ‘Zero Hunger’ status, the system demands a holistic and adaptive food ecosystem. Digitization will revolutionize the current food system, provided the farmers can adopt and apply it in their routine farming operations. In rural areas, digital literacy is crucial for using digital technology. Establishing and strengthening a ‘digital agriculture ecosystem’ requires suitable environment from grassroots innovations from the farmers’ perspective

Keywords


Climate change, digital transformation, rural population, smallholder farmers, sustainable agriculture.

References





DOI: https://doi.org/10.18520/cs%2Fv123%2Fi12%2F1436-1440