Topological Optimum Approach for Improving Indicators for Agricultural Sustainability

Background. The goal of this study is to improve the topological efficiency of agricultural production in Saudi Arabia’s allocated agriculture area. Method. The data envelopment analysis (DEA) topology was adopted to efficiently identify agricultural land utilization from 2009 to 2013. Results. Acco...

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Main Author: Waseem Asghar Khan
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Chemistry
Online Access:http://dx.doi.org/10.1155/2022/3057504
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author Waseem Asghar Khan
author_facet Waseem Asghar Khan
author_sort Waseem Asghar Khan
collection DOAJ
description Background. The goal of this study is to improve the topological efficiency of agricultural production in Saudi Arabia’s allocated agriculture area. Method. The data envelopment analysis (DEA) topology was adopted to efficiently identify agricultural land utilization from 2009 to 2013. Results. According to the constant return to scale (CRS) topology, the area may be reduced by 8.7831667 percent in 2009, resulting in a given optimal crop yield scenario. Similarly, the area may be reduced by 3.9425506 percent in 2010 to attain a given optimum crop production topology, by 4.0198591 percent in 2011 to achieve the same amount of crop production, and by 1.0621519 percent in 2012 to attain the desired level of crop output. The topology of crop production could increase by 5.1334182 percent while retaining quality, according to the variable return to scale (VRS) topology while maintaining the same assigned area. Conclusion. Also using the linear programming approach to reproduce the results of CRS and VRS models.
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spelling doaj-art-d7dd2aa3913d44bda05ca890068e4a3f2025-02-03T05:50:03ZengWileyJournal of Chemistry2090-90712022-01-01202210.1155/2022/3057504Topological Optimum Approach for Improving Indicators for Agricultural SustainabilityWaseem Asghar Khan0Department of MathematicsBackground. The goal of this study is to improve the topological efficiency of agricultural production in Saudi Arabia’s allocated agriculture area. Method. The data envelopment analysis (DEA) topology was adopted to efficiently identify agricultural land utilization from 2009 to 2013. Results. According to the constant return to scale (CRS) topology, the area may be reduced by 8.7831667 percent in 2009, resulting in a given optimal crop yield scenario. Similarly, the area may be reduced by 3.9425506 percent in 2010 to attain a given optimum crop production topology, by 4.0198591 percent in 2011 to achieve the same amount of crop production, and by 1.0621519 percent in 2012 to attain the desired level of crop output. The topology of crop production could increase by 5.1334182 percent while retaining quality, according to the variable return to scale (VRS) topology while maintaining the same assigned area. Conclusion. Also using the linear programming approach to reproduce the results of CRS and VRS models.http://dx.doi.org/10.1155/2022/3057504
spellingShingle Waseem Asghar Khan
Topological Optimum Approach for Improving Indicators for Agricultural Sustainability
Journal of Chemistry
title Topological Optimum Approach for Improving Indicators for Agricultural Sustainability
title_full Topological Optimum Approach for Improving Indicators for Agricultural Sustainability
title_fullStr Topological Optimum Approach for Improving Indicators for Agricultural Sustainability
title_full_unstemmed Topological Optimum Approach for Improving Indicators for Agricultural Sustainability
title_short Topological Optimum Approach for Improving Indicators for Agricultural Sustainability
title_sort topological optimum approach for improving indicators for agricultural sustainability
url http://dx.doi.org/10.1155/2022/3057504
work_keys_str_mv AT waseemasgharkhan topologicaloptimumapproachforimprovingindicatorsforagriculturalsustainability