Energy Flows Modeling and Economic Evaluation of Watermelon Production in Fars Province of Iran

This study aimed to evaluate the efficiency of energy consumption and economic analysis of different watermelon cultivation systems in Fars Province of Iran. Watermelon production systems were classified into five systems, namely, custom tillage (group 1), conservation tillage (group 2), tradit...

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Main Authors: Maryam Lotfalian, Bahram Hosseinzadeh Samani, Mahdi Ghasemi-Varnamkhasti
Format: Article
Language:English
Published: Islamic Azad University 2018-03-01
Series:International Journal of Agricultural Management and Development
Subjects:
Online Access:http://ijamad.iaurasht.ac.ir/article_538536_b7fc737f96f414d51047469f80330d57.pdf
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spelling doaj-b29ea8d576bc4efc8a0959b10bb342002020-11-25T00:27:03ZengIslamic Azad UniversityInternational Journal of Agricultural Management and Development2159-58522159-58602018-03-01816579Energy Flows Modeling and Economic Evaluation of Watermelon Production in Fars Province of IranMaryam Lotfalian0Bahram Hosseinzadeh Samani1Mahdi Ghasemi-Varnamkhasti2M.Sc. Student, Department of Mechanical Engineering of Biosystems, Shahrekord University, IranAssistant Professor, Department of Mechanical Engineering of Biosystems, Shahrekord University, IranAssistant Professor, Department of Mechanical Engineering of Biosystems, Shahrekord University, IranThis study aimed to evaluate the efficiency of energy consumption and economic analysis of different watermelon cultivation systems in Fars Province of Iran. Watermelon production systems were classified into five systems, namely, custom tillage (group 1), conservation tillage (group 2), traditional planting (group3), semi mechanized planting (group 4), and mechanized planting (group 5). Data were collected from 317 watermelon producers from different parts of the province through face to face interviews. Multi-Layer Perceptron artificial neural networks were used to model the energy flows of watermelon production. The results showed that the greatest energy consumption belonged to mechanized planting system with the value of 81317.72 MJha-1 and with the productivity of 0.61 kgha-1 and energy use efficiency of 1.17. Clustering function with three inputs (human resources, machines and diesel fuel) showed that the difference between groups 2 and 4 is more than the other groups. The least energy consumption belonged to the conservative agriculture as78163.86 MJha-1 and the energy productivity and energy use efficiency about 0.64 kgha-1 and 1.22, respectively. The results of energy modeling showed that an ANN model with 9-10-1 structure was determined to be optimal for energy flow modeling of this system. Generally, it was concluded that the artificial neural network models can be applicable to prognosticate the energy flows of watermelon production. From an economic point of view, the least net profit belonged to traditional planting with the value of 2618.14$, and the most net return belonged to mechanized planting with the value of 2752.88$/ha.http://ijamad.iaurasht.ac.ir/article_538536_b7fc737f96f414d51047469f80330d57.pdfArtificial neural networksConservationEnergy use efficiencyMechanized
collection DOAJ
language English
format Article
sources DOAJ
author Maryam Lotfalian
Bahram Hosseinzadeh Samani
Mahdi Ghasemi-Varnamkhasti
spellingShingle Maryam Lotfalian
Bahram Hosseinzadeh Samani
Mahdi Ghasemi-Varnamkhasti
Energy Flows Modeling and Economic Evaluation of Watermelon Production in Fars Province of Iran
International Journal of Agricultural Management and Development
Artificial neural networks
Conservation
Energy use efficiency
Mechanized
author_facet Maryam Lotfalian
Bahram Hosseinzadeh Samani
Mahdi Ghasemi-Varnamkhasti
author_sort Maryam Lotfalian
title Energy Flows Modeling and Economic Evaluation of Watermelon Production in Fars Province of Iran
title_short Energy Flows Modeling and Economic Evaluation of Watermelon Production in Fars Province of Iran
title_full Energy Flows Modeling and Economic Evaluation of Watermelon Production in Fars Province of Iran
title_fullStr Energy Flows Modeling and Economic Evaluation of Watermelon Production in Fars Province of Iran
title_full_unstemmed Energy Flows Modeling and Economic Evaluation of Watermelon Production in Fars Province of Iran
title_sort energy flows modeling and economic evaluation of watermelon production in fars province of iran
publisher Islamic Azad University
series International Journal of Agricultural Management and Development
issn 2159-5852
2159-5860
publishDate 2018-03-01
description This study aimed to evaluate the efficiency of energy consumption and economic analysis of different watermelon cultivation systems in Fars Province of Iran. Watermelon production systems were classified into five systems, namely, custom tillage (group 1), conservation tillage (group 2), traditional planting (group3), semi mechanized planting (group 4), and mechanized planting (group 5). Data were collected from 317 watermelon producers from different parts of the province through face to face interviews. Multi-Layer Perceptron artificial neural networks were used to model the energy flows of watermelon production. The results showed that the greatest energy consumption belonged to mechanized planting system with the value of 81317.72 MJha-1 and with the productivity of 0.61 kgha-1 and energy use efficiency of 1.17. Clustering function with three inputs (human resources, machines and diesel fuel) showed that the difference between groups 2 and 4 is more than the other groups. The least energy consumption belonged to the conservative agriculture as78163.86 MJha-1 and the energy productivity and energy use efficiency about 0.64 kgha-1 and 1.22, respectively. The results of energy modeling showed that an ANN model with 9-10-1 structure was determined to be optimal for energy flow modeling of this system. Generally, it was concluded that the artificial neural network models can be applicable to prognosticate the energy flows of watermelon production. From an economic point of view, the least net profit belonged to traditional planting with the value of 2618.14$, and the most net return belonged to mechanized planting with the value of 2752.88$/ha.
topic Artificial neural networks
Conservation
Energy use efficiency
Mechanized
url http://ijamad.iaurasht.ac.ir/article_538536_b7fc737f96f414d51047469f80330d57.pdf
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