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首页> 外文会议>IFIP(International Federation for Information Processing) TC 12 International Conference on Computer and Computing Technologies in Agriculture(CCTA 2007); 20070818-20; Wuyishan(CN) >THE DESIGN AND IMPLEMENTATION OF SUGAR-CANE INTELLIGENCE EXPERT SYSTEM BASED ON EOS/MODIS DATA INFERENCE MODEL
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THE DESIGN AND IMPLEMENTATION OF SUGAR-CANE INTELLIGENCE EXPERT SYSTEM BASED ON EOS/MODIS DATA INFERENCE MODEL

机译：基于EOS / MODIS数据推理模型的甘蔗智能专家系统的设计与实现

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One of the major problems in the real time decision of agricultural intelligence expert system is how to be obtained the real time information of crops growth and its close relation environment data. As result, the extraction of crops planting areas and their spatial distribution and their growth variety, especially when the natural disaster arises, such as drought, its spatial distribution and crops suffer from harmful degree have become the extraordinary important factors of the real time decision in agricultural intelligence expert system. In order to be obtained the real time information of crops growth and its close relation environment data. In the first place, this paper presents an automatic approach to the sugar-cane planting areas and its spatial distribution and growth and classification of drought extraction for mixed vegetation and hilly region, more cloud using moderate spatial resolution and high temporal resolution EOS/MODIS data around Guangxi province, south of China. Next, the framework and the method for knowledge expressing and inference mechanism of the real time decision of sugarcane intelligence expert system are proposed. Finally, the information of sugarcane planting area and
机译：农业智能专家系统实时决策的主要问题之一是如何获取作物生长的实时信息及其紧密联系的环境数据。结果，特别是在干旱等自然灾害发生时，农作物种植区的提取及其空间分布和生长变化，已成为作物实时决策的重要重要因素。农业情报专家系统。为了获得作物生长的实时信息及其紧密联系的环境数据。首先，本文提出了一种自动方法来研究甘蔗种植区及其空间分布和生长以及混合植被和丘陵地区干旱提取的分类，使用中等空间分辨率和高时间分辨率EOS / MODIS数据获得更多云量的方法在中国南部的广西省周围。其次，提出了甘蔗智能专家系统实时决策的知识表达和推理机制的框架和方法。最后，介绍了甘蔗种植面积和

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