Intelligent question-answering method and system for corn diseases and insect pests based on large model and knowledge base

Abstract

The invention discloses a corn disease and insect pest intelligent question answering method and system based on a large model and a knowledge base, and relates to the technical field of agricultural disease and insect pest management and artificial intelligence crossing, and the method comprises the steps: firstly, receiving user input, and generating a peasant household question according to the user input; secondly, based on the generated peasant household problems, similar peasant household problems are generated through a generative large model LLM, and a peasant household problem set is constructed; then, vectorizing peasant household problems in the peasant household problem set to obtain a peasant household problem vector, and performing similarity matching on the peasant household problem vector and a knowledge text vector in a knowledge base to obtain a knowledge recall result; and then, according to a knowledge recall result, generating a question answer. Therefore, by adopting the corn disease and insect pest intelligent question answering method and system based on the large model and the knowledge base, accurate and understandable question answers can be quickly generated, and effective corn disease and insect pest related information and suggestions are provided for users.

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