A knowledge-based expert system for the smallholder palm oil cultivator in Malaysia

M. A. Khalid, U. K. Yusof
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引用次数: 3

Abstract

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.
马来西亚小农棕榈油种植者的知识专家系统
棕榈油种植是扩大马来西亚经济的经济活动之一。统计数据显示,世界棕榈油资源的主要贡献者约有42%来自马来西亚。因此,一直强调棕榈油的生产,以确保持续供应,以加强马来西亚的经济。计算机系统和因特网的使用促进了农业领域的显著发展。现有的基于知识的系统被应用于农业和非农业的各个领域,以解决各种问题。本文提出了一个以知识为基础的专家系统,重点帮助橡胶工业小农发展局(RISDA)和马来西亚棕榈油协会(MPOA)的小农,为有效和高产的棕榈油种植提供知识和指导。该系统旨在对满足棕榈油养分需求的肥料进行适宜性决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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