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Optimization of Energy Consumption for Cucumber Production with Non-parametric Linear model

Author: Seyed Masoud Kamali and Mazdak Rasapoor

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Abstract

The efficiency of production units is measured either by parametric or by non-parametric methods. The first approach estimates the parameters of the production or cost functions statistically. The second one, in contrast, builds a linear piece-wise function from empirical observations of inputs and outputs. In this study a mathematical Analysis is used to estimate the energy efficiencies of cucumber producers based on eight energy inputs including human labor, diesel fuel, machinery, fertilizers, chemicals, water for irrigation, electricity and seed energy and single output of cucumber production. Data were collected using face-to-face surveys from 20 greenhouses in Golshan city, Esfahan province of Iran. Energy indices, technical, pure technical and scale efficiencies were calculated by using Data Envelopment Analysis (DEA) approach for 20 cucumber greenhouses. Total energy input and output were calculated as 163994 MJha-1 and 62496 MJha-1, respectively, whereas diesel fuel consumptio

Keywords

Data envelopment analysis, efficient units, greenhouse cucumber, technical efficiency

Conclusion

This study applied a mathematical model to calculate the efficiency of 20 cucumber greenhouses in the Golshan city, Esfahan province of Iran. This procedure allows the determination of greenhouses6, 11, and 12 as the best practice greenhouses that can be providing useful insights for other greenhouse management.Diesel fuel,total fertilizers and electricity energy inputs had the highest potential for saving energy; so, if inefficient greenhouses would pay more attention towards these sources, they would considerably improve their energy productivity.

References

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How to cite this article

Seyed Masoud Kamali and Mazdak Rasapoor (2016). Optimization of Energy Consumption for Cucumber Production with Non-parametric Linear model , Biological Forum – An International Journal 8(1): 324-330.