Evaluation of Greenhouse Vegetable Planting Efficiency Based on DEA Method

DOI: https://doi.org/10.62517/jlsa.202407104

Author(s)

You Lyu1, Zhenwei Zhang2

Affiliation(s)

1Department of Basic Courses, Beijing University of Agriculture, Beijing 102206, China 2School of Mathematics, North University of China, Shanxi 030051, China

Abstract

The modernization of agricultural technology holds an important position in achieving sustainable agricultural development. Practice has shown that greenhouse agriculture will play a significant role in future agricultural development. This study utilized data envelopment analysis (DEA) to evaluate the production efficiency of greenhouse vegetable cultivation. An efficiency evaluation model was established with greenhouse temperature and light radiation intensity as input indicators, and fruit yield, soluble solids content, lycopene content, and sugar-to-acid ratio as output indicators. Based on the environmental and production data collected from the greenhouse, the DEA Frontier software was used to calculate planting efficiency. The optimal production input was determined through result analysis to achieve the highest planting efficiency. Furthermore, optimization was conducted for production methods with lower efficiency, providing reference and basis for technological innovation in greenhouse agriculture.

Keywords

Data Envelopment Analysis; Efficiency Evaluation; Greenhouse Agriculture; Input-Output Analysis

References

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