Application of artificial intelligence in aquaculture

country:China
core technology:Biomedical artificial intelligence
industry field:Other areas
release unit:石家庄市金元康牧药业有限公司
demand unit:Shijiazhuang Jinyuan Kangmu Pharmaceutical Co. Ltd
cooperation mode:Project cooperation
2023-06-06 18:37:34 6
Project description
Research Direction: The total investment in the research direction of the project is 10 million yuan. From June 2020 to May 2023, the number of project teams is 15. The main business area of the project is the core technology of the aquaculture industry, which makes aquaculture profits better and aquaculture technology more reasonable. The intention is to establish a project in Germany. China is a major animal husbandry country, and in the process of realizing the development of animal husbandry, it faces problems such as low production management level of enterprises, environmental pollution, and scattered industry data resources, These all hinder the rapid development of modern animal husbandry. In recent years, in response to the current development status of animal husbandry, with the help of new generation artificial intelligence, Internet of Things, and mobile internet technology, we have provided online services such as breeding, epidemic prevention, slaughter, circulation, distribution, harmless treatment, animal product safety, major disease prevention and early warning to animal husbandry friends, achieving resource integration Data sharing and business collaboration provide information management systems for livestock and poultry intelligent breeding and traceability of livestock product distribution for livestock breeding business entities, assisting in the transformation and upgrading of modern livestock industry. Expected goal 1. Provide a smart aquaculture system. 2. Utilize information technology to improve management efficiency and reduce management costs. 3. Integrate resources, form a big data center for animal husbandry, form an information sharing mechanism, and achieve centralized data management. 4. Apply for two patents. The conditions (equipment/personnel/funds) have been met and have been jointly developed with some universities. 10 R&D personnel. Technical difficulties/main difficulties due to complex parameters, limited big data, complex breeding environment, and difficulty in applying artificial intelligence.

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