The place of data in precision agricultural data asset management

Authors

DOI:

https://doi.org/10.54201/iajas.v1i2.23

Keywords:

precision agriculture, data asset management, technology

Abstract

Data and information are both key players of the 21st century. Technology is rapidly changing, and the industrial revolution is represented in the field of agriculture as well. Precision farming helps farmers to maximise annual yields and use available data. Due to technological developments and data management, more and more information is available. Precision agriculture manages the variability in production agriculture in a more economic and environmentally efficient manner. It encompasses a suite of farm-level information technologies, monitors the major field crops and annual yields. Precision agriculture can survive only by using the data and information gained.

References

Agroinform. (2021, July 21). Fontos lenne, hogy minél több feladatot drónok végezzenek el a mezőgazdaságban. Online: https://bit.ly/3vp6uPc

Dey, K., Sekhawat, U. (2021). Blockchain for sustainable e-agriculture: Literature review, architecture for data management, and implications. Journal of Cleaner Production, Volume 316, Article 128254. doi: https://doi.org/10.1016/j.jclepro.2021.128254

Digitális jólét program. (2019). DAS – Magyarország Digitális Agrár Stratégiája. Online: https://bit.ly/36D1Z9p

Food and Agriculture Organization of the United Nations. (2021). Statistics about data collection and management. Online: https://bit.ly/35fpvZT

Food and Agriculture Organization of the United Nations. (2021). Small family farmers produce a third of the world’s food. Online: https://bit.ly/3vqXI3t

Food and Agriculture Organization of the United Nations. (2021). Farm data management, sharing and service for agriculture development. doi: https://doi.org/10.4060/cb2840en

Mesterséges Intelligencia Koalíció, Digitális Jólét Program, Innovációs és Technológiai Minisztérium (2020, May). Magyarország Mesterséges Intelligencia Stratégiája. doi: https://bit.ly/36TU5c9

Montanarella, L., Panagos, P. (2021). The relevance of sustainable soil management within the European Green Deal. In Land Use Policy, Volume 100, Article 104950. doi: https://doi.org/10.1016/j.landusepol.2020.104950

OECD. (2016). Is precision agriculture the start of a new revolution? In Farm Management Practices to Foster Green Growth. (pp. 137-159) OECD Publishing. doi: https://doi.org/10.1787/9789264238657-8-en

OECD. (2019). Digital innovations and the growing importance of agricultural data. In Digital Opportunities for Better Agricultural Policies. (pp. 20-36) OECD Publishing. doi: https://doi.org/10.1787/367ac383-en

OECD. (2021). Agricultural Policy Monitoring and Evaluation 2021: Addressing the Challenges Facing Food Systems. OECD Publishing. doi: https://doi.org/10.1787/2d810e01-en

Orbán, A. (2020). Közigazgatási adatvagyon, adatgazdálkodás és nyílt adatok. In Sasvári, P. (Ed.), Informatikai rendszerek a közszolgálatban I. (pp. 31-51). Dialóg Campus. doi: https://doi.org/10.36250/00732.02

Raguseo, E., Vitari, C. (2018). Investments in big data analytics and fi rm performance: an empirical investigation of direct

and mediating effects. International Journal of Production Research, 56(15), 5206-5221. doi: https://doi.org/10.1080/00207543.2018.1427900

Sung, J. (2018). The Fourth Industrial Revolution and Precision Agriculture. In Hussmann, S. (Ed.), Automation in Agriculture – Securing Food Supplies for Future Generations. Intech. doi: https://doi.org/10.5772/intechopen.71582

Szántói, Z., Stróbl, P. (2019). Copernicus Sentinel-2 Calibration and Validation. European Journal of Remote Sensing, 52(1), 253- 255. https://doi.org/10.1080/22797254.2019.1582840

Van Evert, F. K., Been, T., Booij, A. J., Kempenaar, C., Kessel, J. G., Molendijk, P. L. (2018). Akkerweb: A Platform for Precision Farming Data, Science, and Practice. In Proceedings of the 14th International Conference on Precision Agriculture. International Society of Precision Agriculture. Online: https://bit.ly/3K2z7Ge

Willighagen, E. L., Brändle, M. P. (2011). Resource description framework technologies in chemistry, Journal of Cheminformatics, 3(15).doi: https://doi.org/10.1186/1758-2946-3-15

Wolfert, S., Ge, L., Verdouw, C., Bogaardt, M-J. (2017). Big Data in Smart Farming – A review. Agricultural Systems, Volume 153, 69-80. doi: https://doi.org/10.1016/j.agsy.2017.01.023

Wysel, M., Baker, D., Billingsley, W. (2021). Data sharing platforms: How value is created from agricultural data. Agricultural Systems, Volume 193, Article 103241. doi: https://doi.org/10.1016/j.agsy.2021.103241

Legal sources

Directive (EU) 2019/1024 of the European Parliament and of the Council of 20 June 2019 on open data and the re-use of public sector information. Online: https://bit.ly/35bYWoz

Downloads

Published

2021-11-17

How to Cite

The place of data in precision agricultural data asset management. (2021). Institutiones Administrationis - Journal of Administrative Sciences, 1(2), 52-61. https://doi.org/10.54201/iajas.v1i2.23