基于agent的农业指标评估模型从田间尺度到区域尺度的升级与信息评估

V. N. Nguyen, A. Drogoul, H. Huynh
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引用次数: 5

摘要

湄公河三角洲-越南地区褐飞虱暴发管理的相关问题是复杂的,需要跨行政尺度的信息汇总。褐斗密度和环境指标是支持利益相关者做出合适决策的主要因素。由于场尺度到区域尺度的信息细节层次不同,需要进行信息升级,本文旨在设计一种基于agent的评估模型,提出了一种从场尺度到区域尺度信息聚合和评估的升级方法。一个案例研究展示了跨越尺度传递被褐跳虫侵染的水稻区域,其结果可以帮助利益相关者评估褐跳虫在水稻作物季节造成的损害程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Upscaling and Assessing Information of Agriculture Indicators in Agent-Based Assessment Model from Field to Region Scale
Problems related to brown plant hopper outbreaks management in the Mekong Delta-Vietnam are complex and need aggregating information across administrative scales. Brown plant hopper density and environmental indicators are main factors that support stakeholders have suitable decision making. Due to detail levels of information are different from field scale to region scale, upscaling information is required, this paper aims at designing an agent-based assessment model and proposes an upscaling method to aggregate and assess information from field to region scales. A case study presents conveying rice area infested by brown plant hoppers across scales and results could help stakeholders assess damage levels caused by Brown plant hoppers in rice crop seasons.
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