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Big data analysis, prediction and early warning for whole industry chain development of grain and oil-crops
Author:Cao Jianru   Approver:Zhang Meishen   Releaser:Jia Peiwen   Time:2022/04/12 15:15:21   Source:International Cooperation Division

Using big data analysis means to carry out research on the whole industrial chain of characteristic grain and oil, and scientifically predict the output and price of grain and oil-crops, would be of great significance to promote sustainable agriculture and increase farmers’ income.
The main research work of the project will include: 1. To analyze the data of entire process of the pre-inter-post production and the output and price data of characteristic grain and oil-crops to determine the main factors affecting the output and price of grain and oil-crops; 2. Using machine learning algorithms to process and analyze the whole industry chain data; 3. Combining the whole industry chain data and 3S data to establish and evaluate the prediction and early warning model.
The Institute of Agricultural Information and Economics of Hebei Academy of Agriculture and Forestry Sciences has solid research background in big data analysis, model construction, big data platform construction and application, 3S data collection and processing, application system development and so on. We welcome cooperation with relevant foreign research institutions and researchers.
Contact information:
Hou Liang, Project Leader
Tel: 0086-311-87269081
Mobile: 0086-13933045811
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  Key words:big data, prediction, early warning, grain and oil crops, international cooperation                View:1044                  0