Digital technology in spring sowing: Beijing Jiage Tiandi launches big data platform to promote efficient spring tube

Digital technology in spring sowing: Beijing Jiage Tiandi launches big data platform to promote efficient spring tube

Just after the shocking solar terms, it is already a hot scene of spring sowing and spring ploughing.

This year’s No.1 Document of the Central Committee proposed to do a good job in grain production and ensure that the national grain output remained above 1.3 trillion Jin. The government work report also re-emphasized this grain production goal.

The grain output of spring sowing accounts for about 60% of the whole year, and the grain output of spring tube accounts for nearly 40% of the main rations. In order to give full play to the role of big data in helping grain production and serving spring sowing and spring management, recently, Beijing Jiage Tiandi Technology Co., Ltd. launched the "Spring sowing data management big data decision-making command platform", which provides data support for spring sowing and spring management from the perspectives of suitable areas for spring sowing, meteorological risk early warning and crop growth monitoring.

As an agricultural and rural big data application enterprise, Jiage Tiandi, based on multi-source data represented by satellite remote sensing, combined with artificial intelligence, cloud computing and other technologies, can provide big data solutions for business scenarios such as food security, rural revitalization and development, and rural homestead management. At present, it has served more than 400 million mu of cultivated land in China, and has served in nearly 30 provincial administrative regions such as Jilin, Jiangsu, Zhejiang and Guangdong, forming a unique local agricultural and rural big data application.

The "Spring Broadcasting Digital Tube Big Data Decision Command Platform" launched this time is a public welfare platform launched by Jiage Tiandi based on its own capabilities and technological advantages, which is open to the public. The platform aims to serve spring sowing with big data, and has built five functional modules, namely, spring sowing suitable area, spring sowing risk forecast, weather trend for preparation, crop growth monitoring, and spring sowing comprehensive report, which can meet the regulatory needs of crops at different stages from sowing to growth and serve local agricultural management departments.

The suitable area for spring sowing focuses on three kinds of crops: spring wheat, spring corn and early rice. Through comprehensive analysis of the data of crop phenology, temperature and precipitation, the suitable sowing range of crops in different periods can be intelligently judged. Based on the data results, relevant departments can dispatch and allocate agricultural materials in advance, so as to seize the agricultural time to carry out spring sowing.

In addition, the module also integrates the data of agricultural machinery operation, and forms a "agricultural machinery heat map" by visually presenting the agricultural machinery operation situation in the whole country, helping users to understand the farming progress in various places at the macro level.

In view of the meteorological factors closely related to crop sowing and growth, the platform analyzes and presents meteorological conditions from two dimensions: spring sowing risk prediction and meteorological trend of preparation for tillage.

The risk forecast of spring sowing focuses on several meteorological disasters such as low temperature, high temperature, drought and rainstorm, and visually shows the risk level of spring sowing in various places. When the risk is at a high level, preventive measures can be arranged in advance to avoid or reduce losses. The meteorological trend of reserve tillage reflects the data of average temperature, accumulated temperature and accumulated precipitation at present and in the same period of history, which can provide decision-making basis for agricultural operation and deployment.

In the crop growth stage, the platform introduces crop growth monitoring data with the highest accuracy of 10m, which is updated every 8 days to dynamically monitor crop growth changes, locate crop growth problem areas in time, support the efficient and accurate implementation of management and protection work, and escort the whole process of crop growth.

At present, Jiage Tiandi has opened the platform entrance in many channels, such as the official website, and launched the web and mobile terminals at the same time, providing users with convenient services, helping agricultural production in spring and contributing digital strength to ensuring food security.

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