April 28 news, according to the Northeast Institute of Geography and Agroecology of the Chinese Academy of Sciences to Jilin Daily reported that recently, led by the Northeast Institute of Geography and Agroecology of the Chinese Academy of Sciences, Northwest University of Agriculture and Forestry, Nanjing Soil Research Institute of the Chinese Academy of Sciences, Chinese Academy of Agricultural Sciences Institute of Agricultural Resources and Agricultural Zoning Research Institute, Jilin Agricultural University, the Jilin Academy of Soil and Water Conservation Science and other joint development of the "Smart Conservationdark soil"Going live for a trial run.It's the first in the country.Large Language ModelDriven Smart Configuration Platform for Black Soil Erosion Deterrent and Control Technologies.
Northeast Black Soil Conservation Knowledge Database Management Platform
According to the introduction, the platform is based on a huge amount of high-quality academic writings and papers on black soil erosion and degradation and protection and utilization, integrating the knowledge database of black soil protection mainly based on soil, topography, vegetation, climate, human activities, etc., to DeepSeek The big model is the intelligent core, realizing the "Northeast Black Soil Digital Intelligence Twin" full-process AI accurate prediction of black soil erosion and configuration of blocking and controlling measures, so as to provide decision-making support for the design of the black soil protection scheme, technology configuration and benefit assessment.
At present, the platform has been piloted in the demonstration bases of Youyi and Hailun in Heilongjiang and Dongliao in Jilin.It is expected to cover the main black soil areas of Northeast China by 2026..
1AI learned from the report that the platform can realize the prediction of black soil erosion and the design of erosion control measures based on natural language interaction, intelligently assess the characteristics of black soil erosion through the DeepSeek large model-driven data retrieval and analysis, and generate customized black soil erosion control and prevention technical solutions containing engineering, agronomic, and phytotechnical measures in accordance with the local environmental conditions so as to improve the scientific, precise, and intelligent level of black soil protection. Intelligent level.