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Development and implementation of an interactive Spatial Decision Support System for decision makers in Benin to evaluate agricultural land resources-Case study: AGROLAND

机译:为贝宁决策者开发和实施交互式空间决策支持系统,以评估农业土地资源-案例研究:AGROLAND

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摘要

The Sustainable use Of agricultural land resources with concern to food security is essential, Particularly in developing countries, where yields depend primarily oil the biophysical conditions To support decision making concerning national agricultural land usage, a computer based Spatial Decision Support System (SDSS) was developed Within this SDSS, named AGROLAND. decision makers are able to visualise and evaluate biophysical agricultural land resources based on a marginality index for agricultural land use (MI) Data derived from remote sensing like MODIS or SRTM are thereby interesting and embolden sources to derive natural constraints MI is calculated by using a fuzzy logic determination algorithm within the interactive SDSS in AGROLAND, possibilities of user interactions during runtime as well as advanced model-based raster analyses are Implemented to generate MI This paper explicates (i) the development of AGROLAND for Benin, and (ii) the system implementation in Institutions optimizing management strategies oil the national scale
机译:可持续发展与粮食安全有关的农业土地资源至关重要,特别是在发展中国家,其产量主要取决于石油的生物物理条件。为了支持有关国家农业土地利用的决策,开发了基于计算机的空间决策支持系统(SDSS)在此SDSS中,名为AGROLAND。决策者能够基于农业土地利用(MI)的边际指数来可视化和评估生物物理农业土地资源,从而可以从MODIS或SRTM之类的遥感数据中获取有趣的数据,并大胆地推导自然约束MI是通过使用模糊算法来计算的实现了AGROLAND交互式SDSS中的逻辑确定算法,运行时用户交互的可能性以及基于模型的高级栅格分析以生成MI。本文阐述了(i)贝宁AGROLAND的开发以及(ii)系统实现在机构中优化管理策略为全国范围的石油

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