Open Access Journal Article

Different perspectives on open data in agriculture: a case study on olive oil

by Antonia Ferrer Sapena a ,  Ezgi Erdogan b ,  Eduardo Jiménez Fernández c ,  Elena Sánchez Arnau a ,  Enrique A. Sanchez Perez a,*  and  Christian Vidal Cabo d
a
Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Valencia, Spain
b
Department of Mathematics, Marmara University, Istanbul, Turkey
c
Departamento de Teoría e Historia Económica, Facultad Ciencias Económicas y Empresariales, Granada, Spain
d
Documentación, Universidad Católica de Valencia, Valencia, Spain
*
Author to whom correspondence should be addressed.
JIE  2024, 20; 1(4), 20; https://doi.org/10.58567/jie01040004
Received: 15 November 2023 / Accepted: 26 December 2023 / Published Online: 15 January 2024
View Full-Text
Download PDF

Abstract

Achieving food security through improved agricultural technology is one of the greatest challenges of our time. Indeed, it is one of the elements explicitly mentioned in the Sustainable Development Goals (SDGs). One factor that can lead to improved production and distribution systems is the availability of data of all kinds on the sector. In this paper we study what is happening in this respect in two Mediterranean olive oil producing countries, and show how available data can facilitate the coordination and communication of technical developments and improve the competitiveness of producers.

Keywords: Open data; Olive oil; Agriculture; Production; Spain; Turkey;
Copyright: © 2024 by Sapena, Erdogan, Fernández, Arnau, Sanchez Perez and Cabo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Funding

Miniterio de Ciencia e Innovación (Spain) (MCIN/AEI/https://doi.org/10.13039/501100011033.)

Share and Cite

ACS Style
Sapena, A. F.; Erdogan, E.; Fernández, E. J.; Arnau, E. S.; Sanchez Perez, E. A.; Cabo, C. V. Different perspectives on open data in agriculture: a case study on olive oil. Journal of Information Economics, 2023, 1, 20. https://doi.org/10.58567/jie01040004
AMA Style
Sapena A F, Erdogan E, Fernández E J, Arnau E S, Sanchez Perez E A, Cabo C V. Different perspectives on open data in agriculture: a case study on olive oil. Journal of Information Economics; 2023, 1(4):20. https://doi.org/10.58567/jie01040004
Chicago/Turabian Style
Sapena, Antonia F.; Erdogan, Ezgi; Fernández, Eduardo J.; Arnau, Elena S.; Sanchez Perez, Enrique A.; Cabo, Christian V. 2023. "Different perspectives on open data in agriculture: a case study on olive oil" Journal of Information Economics 1, no.4:20. https://doi.org/10.58567/jie01040004
APA style
Sapena, A. F., Erdogan, E., Fernández, E. J., Arnau, E. S., Sanchez Perez, E. A., & Cabo, C. V. (2023). Different perspectives on open data in agriculture: a case study on olive oil. Journal of Information Economics, 1(4), 20. https://doi.org/10.58567/jie01040004

Article Metrics

Article Access Statistics

References

  1. Carbonell, I. (2016). The ethics of big data in big agriculture. Internet Policy Review 5(1)
  2. https://doi.org/10.14763/2016.1.405
  4. Coble, K. H., Mishra, A. K., Ferrell, S., and Griffin, T. (2018). Big data in agriculture: A challenge for the future. Applied Economic Perspectives and Policy 40(1), 79-96
  5. https://doi.org/10.1093/aepp/ppx056
  7. Danna-Buitrago, J. P., and Stellian, R. (2022). A New Class of Revealed Comparative Advantage Indexes. Open Economies Review 33(3), 477-503
  8. https://doi.org/10.1007/s11079-021-09636-4
  10. Fairbairn, M., and Kish, Z. (2023). Setting data free: The politics of open data for food and agriculture. New Media & Society 25(8), 1935-1959.
  11. https://www.fao.org/faostat/en/#home. https://www.fao.org/food-systems/es/
  13. FAO, CIHEAM, UfM, PRIMA. (2023). Sustainable agrifood systems in the Mediterranean. https://www.fao.org/documents/card/en/c/cc8220en.
  14. https://godan.info/godan-action. https://godan.info/research-resource
  16. Gómez-Limón, J. A. and Granado-Díaz, R. (2022). La Viabilidad de las Explotaciones Comerciales de Olivar en España. Studies of Applied Economics 40, 2, 1-15
  17. https://doi.org/10.25115/eea.v40i2.8400
  19. Gómez-Limón Rodríguez, J. A. and Sánchez Fernández, G. (2010). Empirical evaluation of agricultural sustainability using composite indicators. Ecological Economics 69, 1062–1075
  20. https://doi.org/10.1016/j.ecolecon.2009.11.027
  22. Addison, C., Jellema, A., and Meijninger, W. (2015). Open data and smallholder food and nutritional security. CTA Working Paper 15/01
  24. Jiménez-Fernández, E., Ferrer Sapena, A., Sánchez-Pérez, E. A., and Petrosyan, L. (2022). Vulnerability of Olive Municipalities in Southern Spain. Available at SSRN 4254741
  26. Kamilaris, A., Kartakoullis, A., and Prenafeta-Boldú, F. X. (2017). A review on the practice of big data analysis in agriculture. Computers and Electronics in Agriculture 143, 23-37
  27. https://doi.org/10.1016/j.compag.2017.09.037
  29. Misra, N. N., Dixit, Y., Al-Mallahi, A., Bhullar, M. S., Upadhyay, R., and Martynenko, A. (2020). IoT, big data, and artificial intelligence in agriculture and food industry. IEEE Internet of things Journal 9(9), 6305-6324. https://opendatacharter.net/. https://opendatacharter.net/resources/
  31. Osinga, S. A., Paudel, D., Mouzakitis, S. A., and Athanasiadis, I. N. (2022). Big data in griculture: Between opportunity and solution. Agricultural Systems 195, 103298
  32. https://doi.org/10.1016/j.agsy.2021.103298
  34. Özkan, Z. Ürün Raporu Zeytinyagi. (2021). Tarımsal Ekonomi ve Politika Geliştirme Enstitüsü Müdürlüğü
  36. Pehlivanoğlu, F., Erarslan, C., and Demir, S. (2021). Factors affecting competition in olive oil exports: Panel data analysis of selected countries. Case study. Agricultural Economics 67(12), 511-518
  37. https://doi.org/10.17221/494/2020-AGRICECON
  39. Rodríguez, J. A. G. L., and Balmón, M. A. (2011). Evaluación de la sostenibilidad de las explotaciones de olivar en Andalucía. Editorial Analistas Económicos de Andalucía, Málaga, 2011
  41. Santos, L., Santos, F. N., Oliveira, P. M., and Shinde, P. (2020). Deep learning applications in agriculture: A short review. In Robot 2019: Fourth Iberian Robotics Conference: Advances in Robotics, Volume 1 (pp. 139-151). Springer International Publishing
  43. Tantalaki, N., Souravlas, S., and Roumeliotis, M. (2019). Data-driven decision making in precision agriculture: The rise of big data in agricultural systems. Journal of agricultural & food information 20(4), 344-380
  44. https://doi.org/10.1080/10496505.2019.1638264