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首页> 外文会议>2012 IEEE Student Conference on Research and Development >A knowledge-based expert system for the smallholder palm oil cultivator in Malaysia
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A knowledge-based expert system for the smallholder palm oil cultivator in Malaysia

机译：马来西亚小农棕榈油耕种机知识为基础的专家系统

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Palm oil cultivation is one of economic activities that expands Malaysia economy. Statistic shows that approximately 42% of the main contributor of world palm oil resources came from Malaysia. Consequently, the production of palm oil has been emphasized to ensure continuous supply to enhance the Malaysia economy. The use of computer system and Internet had encouraged significant growth of agricultural domain. The current existing knowledge-based system was used in various domains either agricultural or non-agricultural to solve various problems. This paper propose a knowledge-based expert system that focus in helping Rubbers Industry Smallholders Development Authority (RISDA) and Malaysian Palm Oil Association (MPOA) smallholders by providing knowledge and guidance for effective and productive cultivation of palm oil. The system aims to make suitable decision on the suitability of fertilizer, which satisfies the palm oil nutrient needs.
机译：棕榈油种植是扩大马来西亚经济的经济活动之一。统计显示，世界棕榈油资源的主要贡献者中约有42％来自马来西亚。因此，强调了棕榈油的生产以确保持续供应以促进马来西亚经济。计算机系统和互联网的使用促进了农业领域的显着增长。当前现有的基于知识的系统被用于农业或非农业的各个领域，以解决各种问题。本文提出了一个基于知识的专家系统，该系统将通过提供有效和生产性种植棕榈油的知识和指导，致力于帮助橡胶工业小农发展局（RISDA）和马来西亚棕榈油协会（MPOA）小农。该系统旨在针对肥料的适用性做出合适的决定，从而满足棕榈油养分需求。

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