Crop automatically identify hundreds of thousands of square kilometers to complete the birth of new cultivated land protection and food safety supervision service platform

In addition to our common games, real -life experiences, etc., what else can AI technology do?

It can also serve our country's cultivated land protection and food safety supervision.

That's right, in a very traditional and extremely important area, AI has added a new application scenario.

This cultivated land protection and food safety supervision service platform based on artificial intelligence technology was born in Chengdu.

The key is that it is really smart. Look at the text.

The largest artificial intelligence computing center in the Southwest, which was officially launched in February, only achieved major results in Chengdu Intelligent Come to Calculation Center. Yesterday, the reporter learned from the public account of the Municipal Development and Reform Commission that one of the first batch of 12 contract computing service incubation solutions for Chengdu Intelligence Center was based on the cultivation of cultivated land protection and grain safety supervision service platforms based on Shengteng AI, which can realize the area of ​​the area. Internal land dynamic monitoring and actual planting crop recognition functions, the highest recognition accuracy is as high as 0.01 acres.

Smart platform

Cracking cultivated land supervision problems

The "Fourteenth Five -Year Plan" plan proposes that we must adhere to the Red Line of 1.8 billion mu of cultivated land, strengthen the control of cultivated land, and resolutely curb the "non -agricultural chemical" of cultivated land and strictly control "non -grain". However, the difficulty of traditional cultivated land supervision is outstanding: my country has a wide distribution of cultivated land resources, large area, complex use of cultivated land, and many types of crops. It is difficult to fully meet the normalized monitoring needs of all -domain coverage, dynamic monitoring, and timely investigation, resulting in a slow foundation and long survey cycle.

For these "stubborn diseases" of these arable land supervision, this arable land protection and food safety supervision service platform born in Chengdu provides a relatively complete solution. It is reported that the platform is based on Shengteng AI, relying on artificial intelligence, to achieve innovation in the technology industry and industrial upgrading. Through the independently developed crop classification and identification system, normalized monitoring of the actual use of land in the region.

The platform can identify the actual planting crops of each plot, dynamically marked the planting behavior of permanent basic farmland and high -standard farmland China -Africa grain crops, strengthen the monitoring of high -standard farmland use, and ensure high -quality and efficient construction of high -standard farmland. At the same time, the long -term idle and wasteland arable land is investigated and identified, helping the competent authorities to build accounts and tracking, rectify one piece, sell one piece, and cultivate one piece, so that the deserted land is "clear, bright, and data accurate."

Technical advantages

The highest recognition accuracy is as high as 0.01 acres

Do you often have such a small embarrassment if you eat grain grains every day: walking into the field, watching the crops that are not yet mature, you are not famous. Such a small "BUG" is here on the food safety supervision service platform, but there is no chance to appear.

The "smart brain" of the platform has the ability to automatically identify the main field crops such as wheat, rice, soybeans such as cotton, rapeseed, peanuts, and citrus. It is diligent enough, and the data update frequency is as high as once a month. It has a good look, with a maximum recognition accuracy of 0.01 acres, and supports the traceability investigation of historical data over the past five years. It is also efficient, suitable for large -scale crop type recognition and planting area verification, and the service capacity is above the provincial level. Taking Gansu Province (about 420,000 square kilometers) as an example, the platform has completed a province's corn, potato, millet, and rice recognition in the whole province. It takes only a few hours.

Of course, the platform is safe enough. The platform, which strives to ensure the security of national food security, has made sufficient optimized designs in terms of business data protection. According to reports, the platform supports standard Docker deployment models. Users can easily make the platform's data service capabilities for privatization deployment of government affairs network/internal network. The data can not be available, unidirectional flow, and ensure the security of user business data.

Chengdu Daily Jinguan Journalist Cai Yu Editor He Qixie Editor Liu Yonghao maps the public account of the Municipal Development and Reform Commission

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