Professor Li Daoliang, China Agricultural University: Fisheries big data technology and Prospect
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2020-04-19
"Big data fusion application" series public lecture No.2
In view of the strong response of the audience to the first public lecture of "big data integration application", the second lecture was held on April 20-29. The second lecture is jointly sponsored by CNKI, Journal of agricultural big data and Agricultural University of China. Based on the number of CO organizers in the first phase, Jilin Federation of agricultural and commercial industries, China fishery Internet of things and big data industry technology innovation alliance, Ningxia Academy of agricultural and Forestry Sciences and other units are added, which will continue to present wonderful live courses for you! In the second lecture, 8 domestic famous scholars and experts in the field of agricultural big data were invited to give lectures.
Li Daoliang, Professor of China Agricultural University and director of the National Digital fishery innovation center, was invited to give the first lecture of the second public lecture series of "big data integration application". His main topic was "fishery big data technology and Outlook".
China is the largest fishery country in the world, and fishery is an important growth point in China's agricultural development. In the process of transformation from traditional fishery to modern fishery, it is faced with a series of practical problems, such as low production efficiency, high breeding risk and rising labor cost. Standardized, large-scale, intensive and precise breeding is the fundamental way to solve the development of traditional fishery, which cannot be separated from the decision support of big data technology.
Why big data technology is needed in fishery transformation?
What magic power does big data have in helping fishery accuracy?
Where is the future development of fishery big data?
19:30, Monday, April 20,
Professor Li Daoliang will interpret the questions one by one,
From demand background to development direction,
From technical principles to solutions,
Talk about using big data technology to promote China's fishery modernization.
Introduction to the guests
Li Daoliang, Professor of School of information and electrical engineering, China Agricultural University, doctoral supervisor, distinguished professor of Changjiang Scholars, Ministry of education. Director of the National Digital fishery innovation center and vice chairman of the agricultural and rural informatization expert advisory committee of the Ministry of agriculture. It has been selected as one of the winners of China Youth Science and Technology Award and national excellent science and technology workers by the national ten thousand talents plan, young and middle-aged science and technology leading talents of the Ministry of science and technology, outstanding scientific research talents of the Ministry of agriculture and talents of the Ministry of education in the new century. Currently, he is the chairman of agricultural information processing branch of international information processing Federation, information processing in Chief editor of agriculture, executive director of China Fisheries Internet of things and big data industry technology innovation alliance, the first adult has won one second prize of national science and technology progress, three first prizes of provincial and ministerial science and technology progress, 30 national invention patents and 7 monographs, and published SCI as the first author or corresponding author There are 122 papers, 179 EI papers, 4 national standards and 7 industrial and local standards. The research direction is agricultural intelligent information processing and agricultural and rural informatization.
Introduction to the lecture
Objective analysis of the demand, bottleneck and crux of fishery big data in China, systematic elaboration of the main technologies and principles of fishery big data, systematic induction of the main application scenarios and solutions of fishery big data, systematic indication of the future development direction and policy orientation of fishery big data.
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