Knowledge expression and reasoning model for tomato disease diagnosis
Liu Yingying, Zhao Xiaoyan, Zhu Xiaodong, Shibin Lian, Zhang Na, Sun Min · 2017
This paper is focus on knowledge expression and reasoning model for diagnosing tomato diseases with an expert system. We found fuzzy rules and knowledge tree can be combined well in expressing diagnosis knowledge of tomato disease. Based on the hybrid knowledge representation the expert system adopted the forward reasoning model and deep reasoning model. The result shows that the expert system has a good integrity of the knowledge and a high diagnosis accuracy.