Investigation on Technical Efficiency of Agronomy and Horticulture Sub Sectors Products in Khorasan Razavi Province: Application of Integrated Neural Network and Fuzzy Clustering Approach
A survey of the natural resources situation in the Khorasan Razavi province reveals that this sector is faced with problems such as negative balance of water in the plains, soil salinity, and soil erosion. This study tries to estimate the technical efficiency of the states of the Khorasan Razavi pro...
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| Format: | Article |
| Language: | fas |
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University of Tabriz
2009-05-01
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| Series: | Journal of Agricultural Science and Sustainable Production |
| Subjects: | |
| Online Access: | http://sustainagriculture.tabrizu.ac.ir/article_1491_dd82d46989bed84398fe4b06a524f921.pdf |
| _version_ | 1811344397302759424 |
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| author | H Taherpoor N Shahnoushi M Danshvar M Mohebi |
| author_facet | H Taherpoor N Shahnoushi M Danshvar M Mohebi |
| author_sort | H Taherpoor |
| collection | DOAJ |
| description | A survey of the natural resources situation in the Khorasan Razavi province reveals that this sector is faced with problems such as negative balance of water in the plains, soil salinity, and soil erosion. This study tries to estimate the technical efficiency of the states of the Khorasan Razavi province in agronomy and horticulture subsectors with attention to restriction of water resources. Required data is collected from yearbooks of Jihad Keshavarzi and Regional Water Organization of Khorasan Razavi province for years 1997, 2002 to 2004 and 2006. This study uses an integrated neural network and fuzzy clustering algorithm. Mean of technical efficiency in the case of considering water resource limitation is 77 percent while as in the case of not considering water recourse limitation is about 74 percent. Results indicate that considering water recourse limitation in agricultural production in each region can affect results of technical efficiency assessment for each state. |
| first_indexed | 2024-04-13T19:46:42Z |
| format | Article |
| id | doaj.art-d8d118493fa84ee58b03b96f8ae75977 |
| institution | Directory Open Access Journal |
| issn | 2476-4310 2476-4329 |
| language | fas |
| last_indexed | 2024-04-13T19:46:42Z |
| publishDate | 2009-05-01 |
| publisher | University of Tabriz |
| record_format | Article |
| series | Journal of Agricultural Science and Sustainable Production |
| spelling | doaj.art-d8d118493fa84ee58b03b96f8ae759772022-12-22T02:32:42ZfasUniversity of TabrizJournal of Agricultural Science and Sustainable Production2476-43102476-43292009-05-0120437511491Investigation on Technical Efficiency of Agronomy and Horticulture Sub Sectors Products in Khorasan Razavi Province: Application of Integrated Neural Network and Fuzzy Clustering ApproachH Taherpoor0N Shahnoushi1M Danshvar2M Mohebi3دانشگاه فردوسی مشهددانشگاه فردوسی مشهددانشگاه فردوسی مشهددانشگاه فردوسی مشهدA survey of the natural resources situation in the Khorasan Razavi province reveals that this sector is faced with problems such as negative balance of water in the plains, soil salinity, and soil erosion. This study tries to estimate the technical efficiency of the states of the Khorasan Razavi province in agronomy and horticulture subsectors with attention to restriction of water resources. Required data is collected from yearbooks of Jihad Keshavarzi and Regional Water Organization of Khorasan Razavi province for years 1997, 2002 to 2004 and 2006. This study uses an integrated neural network and fuzzy clustering algorithm. Mean of technical efficiency in the case of considering water resource limitation is 77 percent while as in the case of not considering water recourse limitation is about 74 percent. Results indicate that considering water recourse limitation in agricultural production in each region can affect results of technical efficiency assessment for each state.http://sustainagriculture.tabrizu.ac.ir/article_1491_dd82d46989bed84398fe4b06a524f921.pdfAgronomy and horticulture productsArtificial Neural NetworksFuzzy clustering algorithmKhorasan razavi provinceTechnical Efficiency |
| spellingShingle | H Taherpoor N Shahnoushi M Danshvar M Mohebi Investigation on Technical Efficiency of Agronomy and Horticulture Sub Sectors Products in Khorasan Razavi Province: Application of Integrated Neural Network and Fuzzy Clustering Approach Journal of Agricultural Science and Sustainable Production Agronomy and horticulture products Artificial Neural Networks Fuzzy clustering algorithm Khorasan razavi province Technical Efficiency |
| title | Investigation on Technical Efficiency of Agronomy and Horticulture Sub Sectors Products in Khorasan Razavi Province: Application of Integrated Neural Network and Fuzzy Clustering Approach |
| title_full | Investigation on Technical Efficiency of Agronomy and Horticulture Sub Sectors Products in Khorasan Razavi Province: Application of Integrated Neural Network and Fuzzy Clustering Approach |
| title_fullStr | Investigation on Technical Efficiency of Agronomy and Horticulture Sub Sectors Products in Khorasan Razavi Province: Application of Integrated Neural Network and Fuzzy Clustering Approach |
| title_full_unstemmed | Investigation on Technical Efficiency of Agronomy and Horticulture Sub Sectors Products in Khorasan Razavi Province: Application of Integrated Neural Network and Fuzzy Clustering Approach |
| title_short | Investigation on Technical Efficiency of Agronomy and Horticulture Sub Sectors Products in Khorasan Razavi Province: Application of Integrated Neural Network and Fuzzy Clustering Approach |
| title_sort | investigation on technical efficiency of agronomy and horticulture sub sectors products in khorasan razavi province application of integrated neural network and fuzzy clustering approach |
| topic | Agronomy and horticulture products Artificial Neural Networks Fuzzy clustering algorithm Khorasan razavi province Technical Efficiency |
| url | http://sustainagriculture.tabrizu.ac.ir/article_1491_dd82d46989bed84398fe4b06a524f921.pdf |
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