In this study a non-parametric method of data envelopment analysis (DEA) was applied to analyze the efficiency of farmers, discriminate efficient farmers from inefficient ones and to identify wasteful uses of energy in order to optimize the energy inputs for apple production in Tehran province,...

This study was conducted to determine the energy balance between the energy inputs and yield for apple production in Tehran, Iran. For this purpose the data were collected from 56 apple orchards. The following results were obtained from this study: The total energy input of 42819.25MJha−1 was...

The aim of this study was to determine energy consumption and the relationship between energy input and yield for potato production in Kaboud Rahang region of Hamadan state. The data used in this study are collected by questionnaire. The results revealed that nitrogen fertilizer (39%), diesel...

The main purpose of this study was to determine energy use efficiency in greenhouse cucumber production using a non-parametric production function. Energy use efficiency of greenhouse cucumber producers was studied and degrees of technical efficiency (TE), pure technical efficiency (PTE) and...

In this study energy use pattern for canola production in Golestan province of Iran was studied and the degrees of technical and scale efficiency of producers were analyzed using a non-parametric data envelopment analysis technique. The study also helped to identify the wasteful uses of energy...

In this study, DEA (data envelopment analysis) was applied to analyze the energy efficiency of wheat farms in order to separate efficient and inefficient growers and to calculate the wasteful uses of energy. Additionally, the degrees of TE (technical efficiency), PTE (pure technical efficiency)...

This study was carried out in Esfahan province of Iran. Data were collected from 260 farms in Fereydonshahr city with face to face questionnaire method. The objective of this study was to predict wheat production yield and (greenhouse gas) GHG emissions on the basis of energy inputs....

This study was carried out in Esfahan province in Iran in order to model output energy and greenhouse gas (GHG) emissions of potato production on the basis of input energies using artificial neural networks (ANNs). Data were collected from 260 farms in Fereydonshahr city with face to face...

In this study a non-parametric method of Data Envelopment Analysis (DEA) is used to estimate the energy efficiencies of soybean producers based on eight energy inputs including human labor, diesel fuel, machinery, fertilizers, chemicals, water for irrigation, electricity and seed energy and...