基于正向和反向链推理技术的水培蔬菜种植专家系统

Habil Tria Sakti, A. Thoriq
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引用次数: 2

摘要

水培系统在营养、植物生长、病虫害风险方面都需要极大的关注。因此,这种水培种植系统需要很高的经验和专业知识,这是想要用水培系统开展蔬菜种植业务的商业行为者的主要障碍,特别是对于没有农业背景的商业行为者。本研究的水培专家系统旨在检测植物病虫害并提供解决方案。此外,该专家系统应用程序还旨在监测植物需求,因此该应用程序可以帮助农民发展水培蔬菜种植业务。将正链和反链相结合的方法应用于植物病虫害检测。而前向链法则用于监控工厂需求。将前向链法和后向链法结合起来识别植物病虫害,可以使用户更容易地确定植物所遭受的疾病,并提供有关这些疾病的信息。将前向链法应用于植物需求监测中,可以根据植物的类型和种植后的天数,确定植物需求各组成部分的需求满足程度。该水培专家系统的应用可以克服水培专家数量有限的问题,帮助农民识别植物病虫害和监测植物需求。
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Expert System for Hydroponic Vegetable Cultivation Using Forward and Backward Chaining Inference Technique
Hydroponics systems require tremendous attention both in nutrition, plant growth, the risk of pest and disease attacks. Thus, this hydroponic farming system requires high experience and expertise that is the main obstacle for business actors who want to start a vegetable cultivation business with a hydroponic system, especially for business actors who do not have a background in agriculture. The hydroponic cultivation expert system in this study aims to detect plant diseases and pests and provide solutions to these diseases. In addition, this expert system application also aims to monitor plant needs, so this application can help farmers grow up hydroponic vegetable cultivation businesses. The combination of the forward and backward chaining methods is applied to detect plant diseases and pests. Whereas the forward chaining method use to monitor plant needs. The combination of the forward and backward chaining methods in identifying plant diseases and pests can make it easier for users to determine the suffered by plants and provide information about these diseases. The application of the forward chaining method in monitoring plant needs can identify the level of fulfilment of entails of each component of plant needs according to the type of plant and the day after planting. The application of this hydroponic expert system can overcome the limited number of hydroponic experts in helping farmers identify plant diseases and pests and monitor plant needs.
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