Silkworm production element recommendation system and method based on knowledge base

Abstract

The invention discloses a silkworm production element recommendation system and method based on a knowledge base. The system comprises a database, the knowledge base, a terminal and an inference machine, wherein the database stores production element information; the knowledge base stores relevant knowledge in the silkworm breeding field, integrates the knowledge into knowledge data and performs mathematical modeling to form a numerical system; the terminal is used for man-machine interaction, receives information transmitted by the database and the knowledge base and transmits the information to the inference machine; and the inference machine generates and pushes a production element setting scheme to the terminal. Through the technical scheme, the problem that at present, silkworm breeding has an excessively high requirement for personnel quality can be effectively solved, therefore, the working threshold and production risk can be lowered, the silkworm survival rate and silkworm cocoon quality are further improved, and more economic benefits are brought to the silkworm industry.

Description

technical field [0001] The invention relates to the technical field of sericulture production, in particular to a system and method for recommending sericulture production elements based on a knowledge base. Background technique [0002] The intelligent recommendation technology of sericulture production factors is of great significance in the field of sericulture production. From the determination of the breeding plan before production, to the control of the silkworm room environment during production, the scientific cultivation of mulberry leaves, and the response to the sudden disease of silkworms, to the market analysis and product sales policy formulation after the production, intelligent recommendation technology runs through the whole process of sericulture. It can improve the coordination of mulberry leaf planting and silkworm breeding, improve the success rate of silkworm cocoon cultivation and product quality, and improve the scientificity and correctness of produc...

AI Technical Summary

Problems solved by technology

As the sericulture industry requires a high level of technology, novices are prone to detours, and can only rely on veteran sericulture farmers to gain breeding experience, with a single learning path and poor learning effect

Since the sericulture industry has not formed a relatively mature knowledge system, it is urgent to build a set of recommended technologies for sericulture production factors with comprehensive coverage, reliable content, and easy use.

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