Publication Details
Issue: Vol 3, No 10 (2025)
ISSN: 2995-486X

Abstract

 This study investigates the efficiency of resource utilization in horticultural enterprises through the application of the Data Envelopment Analysis (DEA) model. A total of 48 farms were evaluated based on input variables (labor force, land area, water usage, fertilizer application, and energy expenditures) and output indicators (crop yield and income). The analysis enabled the classification of farms into efficient and inefficient categories, with optimal input levels calculated for each unit to achieve maximum efficiency. The findings highlight that labor, water, organic fertilizers, and energy costs are the most influential factors affecting performance. Graphical diagnostics were employed to identify sources of resource overuse across individual farms.

Keywords
efficiency DEA model horticulture linear programming resource analysis agriculture.