Netafim's Open-Source Data Challenge:
Unleash Your Data Superpowers!

Help us improve our Hyper-Localized Agro Meteorological Data forecasting.

The dataset we share contains five agrometeorological parameters crucial for smart and sustainable irrigation scheduling. We wish to use this data to improve our weather forecasting models.

The research questions we have defined are:

  1. What is the accuracy level of each parameter per location
  2. Classification of the accuracy level
  3. Optimize the forecast range of each parameter in specific locations

How can you participate?

Submit your project:

  1. Submit your project by October 10, 2023.
  2. Be prepared to showcase your work and explain the methodology behind your solution to the Netafim Digital Agronomy team of experts.

For project submission and any questions please contact:

Good luck!