Autor(s):

Daniel Petrov, Department of Economics and Management of Agricultural and Rural Organizations, Institute of Agricultural Economics – Sofia (Agricultural Academy - Bulgaria), Bulgaria, dpetrov.iae@gmail.com

https://doi.org/10.55630/STEM.2025.0722

Abstract:

    This report examines the theoretical foundations, practical benefits, and limitations of integrating Big Data into sustainable agricultural management, with a focus on economic analysis and efficiency amid climate variability and market instability. Using a case study of wheat production in Southern Bulgaria, it demonstrates how the application of satellite imagery, IoT sensors, machine learning, and market analytics enhances yields, optimizes resource use, and improves economic outcomes. The analysis highlights the key barriers faced by small and medium-sized farms, including high upfront costs, limited digital literacy, and insufficient institutional support. The discussion also addresses critical issues related to data ethics, security, and equitable value distribution. The article concludes with concrete recommendations for farmers, policymakers, and researchers on promoting inclusive and effective digital transformation in agriculture.

Keywords:

Big Data; Sustainable Agriculture; Agricultural Economics; Precision Farming; Southern Bulgaria;

Received:

06-06-2025

Accepted:

18-12-2025

Published:

29-12-2025

Cite (APA style):

Petrov, D. (2025). Utilizing Big Data for Sustainable Management of Agricultural Production and Economic Analysis in Agriculture: a Case Study from Southern Bulgaria, Science Series "Innovative STEM Education", volume 07, ISSN: 2683-1333, Institute of Mathematics and Informatics – Bulgarian Academy of Sciences, pp. 243-253, DOI: https://doi.org/10.55630/STEM.2025.0722

PDF file address:

http://www.math.bas.bg/vt/stemedu/books/07/STEM.2025.0722.pdf