Primary competition visual

Rhea Soil Nutrient Prediction Challenge

Helping Africa
€8 250 EUR
Closing soon! (6 days left)
GIS
Visualisation
Prediction
473 joined
161 active
Starti
Feb 04, 26
Closei
Mar 08, 26
Reveali
Mar 09, 26
About

You are provided with a tabular dataset consisting of 44,298 soil samples collected at different locations for training. Features include the geo-location, the date, the depth and the extractable amount of each nutrient. A full description of the dataset and its features is given in dataset_data_dictionary.csv

In addition, you are required to source and download earth observation data to complement the provided data. You are encouraged to share the code used to download the data so that it is available to all participants. Your solution must also include the preprocessing code for any extra data.

Here is a list of suggested sources for extra data:

  • Sentinel-2 (ESA)
  • Landsat (NASA)
  • CHIRPS Climate Data
  • WorldClim Climate Data
  • FAOSTAT and KNBS Agricultural Statistics
  • IFPRI / HarvestChoice Crop Maps

Please pay attention the file called TargetPred_To_Keep.csv. For some elements, there are no reference values at specific location. The corresponding entries are denoted with zeroes. Before submitting your submission file, ensure that the value predicted for these entries are 0 so that they won't affect your final score.

Files
Description
Files
This file contains all the sample collection dates for both training and test sets.
This file shows the required submission format.
This file shows all the entries with existing targets represented by 1.
This is the dataset which should be used, in addition to the extra data downloaded, for training.
The file should be used to make predictions after training.
This file describe the dataset. Pay attention to the unit.