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.

Write a review

Your email address will not be published. Required fields are marked *