北京爱科农科技有限公司 Beijing ICAN Technology Co. Ltd.

Breakthrough solutions in Precision Agriculture

ICAN’s FieldIntelligent Scripts (FIS) uses proprietary data-driven mobile R10 technologythat leverages agricultural big data science & analytics, cloudingcomputing, Internet of Things (loT), proprietary agronomic, climate, environmental,crop and soil models, public crop simulation models, proprietary precision high-resolutionsoil mapping technology, and field-specifichyper-accurate farming data such as hyper-localweather, soil and high-resolution imagery.

Novative and scalablecrop insurance product

ICAN’s data-driven climate index-based crop insurance products can quantify accurately the level of basis riskby leveraging agricultural big data science & analytics, clouding computing, Internet of Things (loT), proprietary agronomic,climate, environmental, crop and soil models, public crop simulation models, proprietary precision high-resolution soil mapping technology, and field-specifichyper-accurate farming data such as hyper-local weather, soil and high-resolution imagery from satellite and/or UAS.

Comprehensive agriculturalbig data, information & analytics mobile platform

ICAN company will build China largest agricultural big data, information & analytics mobile platform that includes but not limited to, 1. Unified and cleaned the once disparate China agriculture-related data such as weather, soil, local crop management practices,crop diseases/pests etc. 2. Digitized Chinese Agriculture by georeferencing eachcrop production field and determining its yield potential; 3. China largestprivate Automatic Weather Station Network (AWS) & Automatic Soil Moisture Monitoring Network (ASM) in major crop production areas; 4. China’s 1st high resolution soil map for agricultural regions; 5.China Environmental Units for Agriculture; 6. Chinahigh resolution satellite, aerial, UAS imagery database for agriculture 7. China agricultural drought monitoring & forecasting system; 8. China crop yield,disease, pest monitoring & forecasting system; 9.China agribusiness database; 10. ChinaAg-weather intelligence products: 11.ICAN’sagri-advisornetwork that connects to worldwide agri-advisor network; 12. ICAN’s FIS andother agri-services; 13. Agri-news, agri-training materials, and information about global leading agricultural technologies.


Application scenario

This is an example for one big farm in Jilin province:

Step 1  ICAN investigated the satellite image of the farm in the past 10 years, evaluated the changes of the weather, landform, bio-stress, cultivation pattern etc. and the hybrids the farm will be planted, then calculated out the yield limitation factors and the potential yield of the farm.

Step 2  ICAN worked with Tieling Xuri weather service company, which is also an ICAN invested corporation, forcasted the weather situations in the next 6 month and then make the decision on the best planting density and set the yeild goal for the farm.

Step 3  ICAN did a research on the soil texture and sampled the soil to do the nutrition analysis, then calculate out how much nutrition the soil can provide to the plants under this year weather condition also calculate out how much N-P-K the farmer should apply in the farm.

Step 4  With drought-Maize yield model and the weather forecast model, ICAN calculate out the fertilizer Corn will use in the growth season and get the final yeild forecast.

Step 5  Use the best planting date data in the past 8 years and the temperature of -5cm soil, combined Tieling Xuri real-time weather station service, estimated the best planting date to ensure good planting emergence.

Step 6  Use the plant growth model, estimate the plants growth stages and root developing progress and then decide the best additional fertilizer application time.

Step 7  Use SPAD monitor the usage of fertilizer and decide the best top-dressing fertilizer amount.

Step 8  Use the maize-diseases model to forcast the diseases development progress and give the best controlling suggestion to reduce the yield loss resulted by diseases.

Step 9  Use the plant growth model and weather model to estimate the best harvesting time.