| With the development of national economy, the requirement of agricultural production is higher than before, and the development of agriculture is more and more oriented to the development of information technology. The expert system can improve the level of agricultural development, effectively prevent agricultural pests and diseases, and improve the yield and quality of food crops. As a rapid development of the data analysis tool in recent years, the concept lattice has been gradually transformed from the original theoretical research to the applied research, and the concept lattice has its own structure to provide a favorable advantage for researchers.In this dissertation, a method of combining concept lattice theory with the diagnosis of rice diseases and pests was studied. Firstly, the concept of object oriented concept lattice attribute reduction is proposed by using the congruence relation, and the attribute reduction method is given by using the discernible matrix. Then, according to the characteristics of plant diseases and insect pests in different growth parts of rice, the formal context is constructed and the corresponding concept lattice is established. The attribute reduction of rice diseases and insect pests is given by using the reduction theory of concept lattice. Finally, by using the relevant feedback technology to update the weights of each case in the database, the dynamic case library is constructed, and the diagnosis method of the disease and insect pests based on concept lattice is proposed.The system has important significance for the prevention and control of rice diseases and insect pests, improve the yield and quality of rice and alleviate the shortage of agricultural experts in the grass roots. |