Intelligent young silkworm co-breeding system based on Internet of Things technology

Abstract

The invention provides an intelligent young silkworm cooperative rearing system based on the Internet of Things technology. The system is mainly composed of a young silkworm cooperative rearing original data acquisition layer (1), a data transmission layer (2), a data operation layer (3), a data sharing layer (4) and a terminal execution layer (5). The working principle of the system is as follows: firstly, collecting original data of young silkworm co-cultivation of each base within the coverage of the system in a data collection layer (1); transmitting the data to a data operation layer (3)through a data transmission layer (2); in the data operation layer (3), using a big data technology, an image recognition technology and the like to analyze, store and operate the data, and transmitting a processing result to the data sharing layer (4) to realize data sharing of young silkworm production; and finally, driving the terminal execution layer (5) to carry out accurate and intelligent young silkworm cooperative rearing according to an intelligent decision system. The system can improve the current situations of remote geographic position of a co-culture room, weak infrastructure forco-culture of young silkworms, poor disease and insect pest prevention capability and the like in the current co-culture of young silkworms, can also effectively promote the transformation and upgrading of the traditional silkworm industry to the modern silkworm industry, and ensures the long-term stable development of the silkworm industry.

Description

Technical field [0001] The invention belongs to the technical field of agricultural machinery, and in particular relates to an intelligent small silkworm co-cultivation system based on the Internet of Things technology. Background technique [0002] Sericulture is a traditional industry in our country, and my country is also a big country in sericulture, but the sericulture production in our country still relies on manpower, which is a labor-intensive industry with a low level of mechanized and intelligent production. In recent years, with economic development, the labor force in sericulture areas such as Sichuan, Guangxi, and Yunnan has been lost to the eastern coastal areas. The number of sericulture farmers has further decreased, and most of them are the elderly and women left behind in rural areas with low education. The sericulture industry is facing challenges such as difficulty in technology promotion, low degree of mechanization, and weak disease prevention capabilities. ...

AI Technical Summary

Problems solved by technology

[0004] However, at present, the specifications of small silkworm co-cultivation rooms (1-1) in various parts of our country are quite different, and the application degree of mechanization and intelligence is relatively low, and most of the small silkworm co-culture rooms (1-1) are distributed in remote and scattered geographical locations. Scattered, inaccessible rural areas

It makes it difficult for scientific and technical personnel to guide sericulture farmers to cultivate small silkworms in a timely manner and provide technical support guarantees. It also makes it difficult for agricultural management departments to grasp the dynamics of sericulture production in a timely manner, and it is difficult to realize scientific management, technology promotion, and information sharing of small silkworm co-breeding, which is not conducive to sericulture. Industrial Transformation and Upgrading

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