Design of Intelligent Sericulture Management System Based on Artificial Intelligence

Le résumé fourni par la source

At present, intelligent and equipped sericulture has become an inevitable trend for the high-quality development of modern sericulture. However, sericulture in the past is still facing practical problems such as labor shortage, outdated equipment, complicated control, low standards, and lax regulations. It is urgent to change the way of sericulture. Based on the research on intelligent monitoring of sericulture environment, the development of intelligent sericulture management system based on intelligent perception and processing is discussed. Combining intelligent and large-scale sericulture real scenes, relying on the intelligent perception technology of the Internet of Things, the environmental elements of sericulture and the developmental status of silkworms are intelligently sensed, identified, transmitted, and processed, and the development process and environmental conditions of sericulture are accurately grasped. Using the deep residual neural network algorithm (DRCNN), multi-feature data extraction and hierarchical fusion processing, timely correction of sericulture data standards, real-time monitoring of sericulture production process, output technical solutions, and provide automated sericulture decision-making. It provides a reference for building an intelligent and equipped compatible platform for sericulture.

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