#million #arable #land #counties #districts #Jiage #Tiandi #creates #digital #earth #applications #agriculture #finance #emergency #industries
2 billion mu of arable land, if 100 million mu is reduced every ten years, how long will it be before 1.8 billion mu of arable land?
Behind this simple math problem is a shocking data: my country has 2.023 billion mu of arable land. In the 11 years before 2008, China’s total arable land area has decreased by 125 million mu. The 1.8 billion mu is the red line of my country’s arable land and the lifeline of my country’s food security. How to count the amount of cultivated land in real time? How to monitor the condition of cultivated land? How to help the surplus labor to produce more food under the trend of declining rural labor?
The answer of Jiage Tiandi is the application of remote sensing agricultural big data. “Jiage Tiandi”, established in 2015, is a remote sensing big data application company. Based on artificial intelligence technology, Jiage Tiandi provides spatio-temporal data application services by collecting, fusing, processing, analyzing and flexibly displaying multi-source data such as satellite remote sensing, Internet of Things, and meteorology. Agricultural big data service is the first commercial application of Jiage Tiandi. In addition to agriculture, Jiage Tiandi is making efforts to diversify services. Facing the needs of land resources, emergency management, financial management and other fields, Jiage Tiandi hopes to create new customer-oriented applications through digital earth infrastructure and algorithms.
Image source: Jiage Tiandi
300 million mu of arable land service area, nearly one million direct customers
2 billion mu of arable land, 1.33 million square kilometers, accounting for about 14% of the total land area. The first impression of this set of numbers must be “big”. If the area of cultivated land is measured by manpower, it is conceivable that it is a huge and time-consuming task, but the monitoring of cultivated land is an urgent problem. how to solve this problem?
The answer is to shoot from the sky. The average revisit period of remote sensing satellites is less than one week. Through remote sensing satellites, we can observe ground conditions in space and accurately understand the types, amounts and areas of cultivated land.
There is demand for agricultural management, and remote sensing technology has methods. The two sides hit it off. therefore,Agricultural data monitoringIt has become the first commercialized service of Jiage Tiandi, mainly for agricultural management departments and institutional customers.
Image source of arable land classification: Jiage Tiandi
Under sunny conditions, if you only count the number and area of arable land, then one operation in a quarter is enough. something unexpected may happen any time. Pests and diseases in spring, typhoons in summer, melon thieves in autumn, and frosts in winter are all hatred of farmers and headaches for agricultural insurance companies.
How to measure the degree of damage when a disaster occurs? How to determine the damage area? my country’s agricultural planting has the characteristics of decentralization, fragmentation, and low income per unit area. If each insurance policy sends underwriters and loss assessment personnel to the actual inspection, it takes two days to enter the deep mountains and three days to determine whether it is the responsibility of the thieves or the damage from the rice blast, then there is no company Dare to undertake agricultural insurance, and no farmer can afford the cost of insurance. The cost of installing real-time sensors and monitoring systems for every acre of farmland is also very high, and it is not a solution that can afford the benefits of grain farmland.
How to solve the problem? The answer is to establish a large-scale, long-term observation system, and try to ensure that the ground is monitored in weeks or even shorter time units. In this way, data can be obtained from the system at any time for which field is needed. It’s easy to say, but the real realization is limited by many conditions. Optical remote sensing satellites are limited by weather conditions and sunshine time. Once they enter the cloudy and rainy season, optical satellites will become a highly myopic student, unable to observe useful information in real time. Although radar satellites can be monitored without weather images for 24 hours, they are small in number and technically immature, like a student with low myopia.
How to do? The answer is to learn from each other and let as many students as possible answer. As long as one student gets the correct answer at the required time, the problem will be solved.
GAGO Mill is a data platform created by GAGO World. The remote sensing data obtained by hundreds of satellites through visible light, infrared, laser, radar, etc. are merged and converted into high-frequency, standardized, time-efficient, all-weather, and no dead ends applicable data, making each field have more than 30 years The historical remote sensing images and climate data are easy to retrieve quickly. Achieve all-weather, multi-band, no dead ends.
At present, Jiage Tiandi has realized the continuous monitoring of weekly/half-week time frequency at a spatial scale of 10m resolution, and has reached cooperation with Taiping Property and Casualty Insurance, Guangdong People’s Insurance and other companies to provide insurance application services, as well as large banks and agricultural credit companies. Data helps to make loans.
Optical satellites cannot monitor the situation under the typhoon. Picture source: Jiage Tiandi
Help the agricultural management department to make statistics and serve the agricultural insurance company to monitor the fields. Is that something missing? Yes, the main body of agriculture-farmers.
As the main body of agriculture, farmers play a vital role in the development of my country’s agriculture. However, due to the frequent occurrence of natural disasters in my country, most farmers have poor ability to resist risks, resulting in a low average income level of agricultural producers. How to help farmers resist natural risks, manage production tools, and allocate production materials?
The plan given by Jiage Tiandi is a digital agricultural system-Yunjing. Yunjing integrates a full range of agricultural big data acquisition, storage, analysis and visualization modules to provide farmers with agricultural big data services such as growth cycle estimation, yield estimation, natural disaster prediction, plant protection plan recommendations, and optimal harvesting period recommendations. Allow farmers to quickly understand and predict weather changes and crop growth anytime and anywhere through personal computers, smart tablets or smart phones, so as to carry out farming arrangements, agricultural machinery deployment, pesticide spraying and other activities in a timely manner to truly match the climate, soil and crops , To maximize the value of the land, while reducing production costs and increasing profits.
At present, the Yunjing system can monitor natural disasters such as hail, gale, drought, flood, etc., can forecast weather conditions for two or three weeks, and includes 50 years of agricultural meteorological data in East Asia, with a spatial accuracy of 1 km. Taking the monitoring of rice blast disease in Jiangsu Province as an example, the accuracy of the prediction of rice blast disease in this area by Jiage Tiandi can reach more than 98%.
After five years of development, the arable land service area of Jiage Tiandi has exceeded300 million mu,Mainly staple foods and major cash crops, the business scope covers all provinces and cities across the country. From agricultural management departments, agricultural insurance institutions, to agricultural producers, Jiage Tiandi has accumulated close to one million direct customers.
Image source of Jiagetiandi agricultural service application: Jiagetiandi
Facing the needs of various industries, develop new applications for finance and emergency
Agriculture is the main business of Jiage Tiandi, and currently accounts for more than half of Jiage Tiandi’s revenue. In addition to agriculture, Jiage Tiandi is trying to explore the new needs of various industries and provide diversified services.
36 krypton once reported that Jiage Tiandi developed a financial application product-“Wangyan Technology”. With the help of AI algorithms, Wangyan Technology integrates and interprets multi-source spatio-temporal data such as satellite remote sensing, meteorology, drones, Internet of Things, positioning, etc., to quickly capture economic development and environmental changes for banks, insurance, securities, funds, futures, etc. Financial institutions provide indexed products, as well as services such as asset analysis and risk assessment.Currently, Wangyan Technology is able to provide monthly frequency luminous data for nearly 3,000 counties in the country and the top 51 countries in the global GDP.
In addition, building identification and emergency management are also new applications that Jiage Tiandi is working on. Jiage Tiandi has realized sub-meter (0.3~1m) high-resolution satellite and drone data to automatically produce high-precision building survey data products. The pre-trained “Gaohui” AI algorithm model can automatically call the optimal model in urban core areas, urban-rural junctions, rural areas, and mountain villages.
From July to August 2020, many rivers such as the Yangtze River, Jialing River and Wujiang River experienced over-alert and over-guaranteed floods. In response to floods in Chongqing, Jiage Tiandi and China Re Catastrophe Management Company, combined with satellite remote sensing monitoring and “high-map” AI algorithms, have identified and extracted the distribution of local buildings. All work is completed within one day, and the timeliness is far more than manual.
Picture source of emergency application case: Jiage Tiandi
Get out of professional limitations and build a digital earth
From agriculture to finance, from insurance to emergency, remote sensing applications are actually very close to our daily lives. However, the past industry development is relatively traditional, mainly for surveying, mapping, planning and other professionals to provide services, the degree of commercialization is relatively poor. At the same time, the remote sensing geographic information processing and analysis platform represented by Esri Arcgis and Google’s GEE is mainly for users with professional background knowledge. The threshold for use is relatively high, and it cannot be understood and familiarized by laymen who are not from a professional class.
Zhang Gong, CEO of Jiage Tiandi, told 36Kr that it is the development path of Jiage Tiandi to get rid of professional limitations and serve more industry customers. Jage hopes to build a digital earth, integrate data into the needs of all walks of life, and create the required applications. Many industries have product requirements for continuous monitoring of space. From investment to carbon reduction, from urban applications to eco-environmental protection, the needs of various industries are showing up one after another.
The core R&D team of Jiage Tiandi comes from Silicon Valley, California, USA. The founding team members graduated from Tsinghua University, Peking University, and the University of California, Berkeley, and worked for the National Aeronautics and Space Administration, the National Laboratory of the US Department of Energy, ERM, Baidu, Monsanto and other world-renowned networks and multinational agricultural companies.