Data-driven Solution for Agri-SMEs Optimization in Albania: A Framework Using C# and .NET

Authors

  • Dejsi Qorri Department of Logistics, Faculty of Economics and Business, University of Debrecen, Hungary https://orcid.org/0000-0001-7224-9284
  • Irida Gjermeni Department of Mathematics and Informatics, Faculty of Economy and Agribusiness, Agricultural University of Tirana
  • János Felföldi Department of Logistics, Faculty of Economics and Business, University of Debrecen, Hungary https://orcid.org/0000-0002-3895-6636

DOI:

https://doi.org/10.17700/jai.2024.15.1.711

Keywords:

SMEs, big data, agricultural, .NET, Albania, farm management, visualization

Abstract

The Albanian economy relies heavily on the agricultural sector. However, the lack of comprehensive farm management data reduces Albanian agricultural enterprises’ competitiveness in global markets. The purpose of this article is to propose the building of a data gathering, analysis, and visualization application utilizing the C# programming language and the.NET framework. Big data in agriculture can help businesses improve their efficiency, competitiveness, and performance.  Drawing on current challenges in Albanian agri-SMEs, it presents a logical structure for a web application designed to improve small and medium-sized enterprises (SMEs) in the agricultural sector by easing sales and purchase monitoring while optimizing profitability. The study suggests that data-driven solutions are essential for agricultural optimization in Albania, with guidelines for future refinement and implementation.

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Published

2024-08-28

How to Cite

Qorri, D., Gjermeni, I. ., & Felföldi, J. . (2024). Data-driven Solution for Agri-SMEs Optimization in Albania: A Framework Using C# and .NET. Journal of Agricultural Informatics, 15(1). https://doi.org/10.17700/jai.2024.15.1.711

Issue

Section

Journal of Agricultural Informatics