Energy analysis of wet season rice production in Northern Thailand

This study was designed to record the production factors, analyze energy consumption and formulated the mathematical model for prediction energy requirement in the future of wet season rice production. The study areas were located in six provinces of Northern Thailand. The rice production process co...

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Main Authors: Chaichana T., Chaitep S., Jompakdee W., Dussadee N.
Format: Article
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-62149095766&partnerID=40&md5=ba37f8e1f264b0420185b5c992e8cec4
http://cmuir.cmu.ac.th/handle/6653943832/1360
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-13602014-08-29T09:29:12Z Energy analysis of wet season rice production in Northern Thailand Chaichana T. Chaitep S. Jompakdee W. Dussadee N. This study was designed to record the production factors, analyze energy consumption and formulated the mathematical model for prediction energy requirement in the future of wet season rice production. The study areas were located in six provinces of Northern Thailand. The rice production process comprised of soil preparation, cultivation, cultural practice and harvest. During these processes, production factors were determined and changed to an equivalent value of energy consumption per production area (MJ/Rai). Subsequently, they were calculated for a multiple correlation of production factors and energy consumption in order to estimating future energy requirement. It was found that in order to obtain an average paddy yield of 626.26 kg/Rai, the average commercial energy consumption was 2,246.65 MJ/Rai and non-commercial energy consumption was 181.11 MJ/Rai. So, the average energy consumption was 2,427.76 MJ/Rai. The majority part of energy is from chemical fertilizer of 39.25% of total energy following by the energy from agriculture machinery of 35.46% and 17.23%, 3.39%, 4.07% and 0.06% for the energy from fuel, labor, seed and chemical substance respectively. Farmers should reduce the chemical fertilizer and use more organic fertilizer which is not only lower the energy consumption and cost but also save the environment and keep healthy. The mathematical model is accurately to predicting the energy consumption and planning to use the production factors in the future. The model is not depending on production factors price, but it is up to the quantity of using. © 2008 AAAE. 2014-08-29T09:29:12Z 2014-08-29T09:29:12Z 2008 Article 08582114 IAEJE http://www.scopus.com/inward/record.url?eid=2-s2.0-62149095766&partnerID=40&md5=ba37f8e1f264b0420185b5c992e8cec4 http://cmuir.cmu.ac.th/handle/6653943832/1360 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description This study was designed to record the production factors, analyze energy consumption and formulated the mathematical model for prediction energy requirement in the future of wet season rice production. The study areas were located in six provinces of Northern Thailand. The rice production process comprised of soil preparation, cultivation, cultural practice and harvest. During these processes, production factors were determined and changed to an equivalent value of energy consumption per production area (MJ/Rai). Subsequently, they were calculated for a multiple correlation of production factors and energy consumption in order to estimating future energy requirement. It was found that in order to obtain an average paddy yield of 626.26 kg/Rai, the average commercial energy consumption was 2,246.65 MJ/Rai and non-commercial energy consumption was 181.11 MJ/Rai. So, the average energy consumption was 2,427.76 MJ/Rai. The majority part of energy is from chemical fertilizer of 39.25% of total energy following by the energy from agriculture machinery of 35.46% and 17.23%, 3.39%, 4.07% and 0.06% for the energy from fuel, labor, seed and chemical substance respectively. Farmers should reduce the chemical fertilizer and use more organic fertilizer which is not only lower the energy consumption and cost but also save the environment and keep healthy. The mathematical model is accurately to predicting the energy consumption and planning to use the production factors in the future. The model is not depending on production factors price, but it is up to the quantity of using. © 2008 AAAE.
format Article
author Chaichana T.
Chaitep S.
Jompakdee W.
Dussadee N.
spellingShingle Chaichana T.
Chaitep S.
Jompakdee W.
Dussadee N.
Energy analysis of wet season rice production in Northern Thailand
author_facet Chaichana T.
Chaitep S.
Jompakdee W.
Dussadee N.
author_sort Chaichana T.
title Energy analysis of wet season rice production in Northern Thailand
title_short Energy analysis of wet season rice production in Northern Thailand
title_full Energy analysis of wet season rice production in Northern Thailand
title_fullStr Energy analysis of wet season rice production in Northern Thailand
title_full_unstemmed Energy analysis of wet season rice production in Northern Thailand
title_sort energy analysis of wet season rice production in northern thailand
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-62149095766&partnerID=40&md5=ba37f8e1f264b0420185b5c992e8cec4
http://cmuir.cmu.ac.th/handle/6653943832/1360
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