Development of an expert system for personalized crop planning
MEDES(2015)
摘要
In this paper, we propose an effective rice crop planning system based on a knowledge engineering approach with hybrid knowledge representation, i.e., ontologies and rules, to help farmers make decisions in choosing their rice variety and planning cultivation. A critical challenge is to develop a recommendation system that supports and fulfills farmers' satisfaction, i.e., reducing risk from climate conditions and disease while improving productivity to meet market demand. To fulfill these needs, our recommendation system is separated into two parts: a rice variety suggestion system, which will help to suggest which variety to grow; and a personalized crop calendar generation system, which will help farmers in planning their activities toward higher production.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要