Crop forecasting
The biggest agriculture holding in Ukraine requested the Neural Network for forecasting the amount of the certain crop will give in the future on specific areas
Task description
The forecasting will be based on precipitation amount, soil moisture, historical data of maize yield, sunflower yield, wheat yield, geodata for soil fertility and NGVI (yield health). For output we need to have yield curve with the prices forecast and prediction accuracy for each month during the next year
Datasets examples
Monthly / Yearly data for a list of regions
| amount of precipitation per year, mm | soil moisture, % | Corn yield, t/ha | Sunflower yield, t/ha | Yield of winter wheat, t/ha | |||||||||||||
| # | Regions | Square,км2 | 2019 | 2020 | 2021 | 2019 | 2020 | 2021 | 2019 | 2020 | 2021 | 2019 | 2020 | 2021 | 2019 | 2020 | 2021 |
| 1 | Odesa region | 33 314 | 282 | 300 | 494 | 27 | 19 | 24 | 7,2 | 4,1 | 7,9 | 2,2 | 1,5 | 2,6 | 3,5 | 1,6 | 4,3 |
| 2 | Dnipro region | 31 923 | 358 | 343 | 492 | 30 | 23 | 25 | 8,2 | 3,8 | 6,4 | 2,7 | 1,9 | 2,3 | 4,1 | 3,7 | 4,7 |
NDVI picture example, geojson will be available with segmentation areas coordinates and yield health labels
Soil fertility pictures and geodata results will be available with segmentation areas and coordinates
Full Datasets will be available to the validated users, please signup in our Marketplace to be able collaborate with our clients
There are no reviews yet.