Climate analysis
It is a weather analytics platform that combines historical data and advanced forecasts. Using machine learning, it generates location-based climate averages and compares them with 16-day and one-year forecasts, supporting risk assessment and strategic planning.
It is a comprehensive weather analytics platform designed to provide detailed climate information using historical data and advanced forecasts. Powered by machine learning, users can select any location to generate detailed historical averages of key agricultural parameters and compare them with 16-day and one-year forecasts, enabling site-specific risk assessment and strategic planning.
Water production and storage and water use efficiency
Main theme:
North
Region:
300 - 400
Precipitation (mm):
Low
Application difficulty:
1, 2, 8, 5, 10, 13, 15, 14, 12 and 17
SDGs impacted:
Electric
Energy used:
70 - 90
Efficiency (%):
Urban/Rural
Sector:
It prevents chemical runoff: By forecasting rainfall, it helps farmers precisely schedule fertilizer and pesticide applications, ensuring chemicals are absorbed by the crop instead of being washed into rivers.
It supports water conservation: Accurate forecasts allow farmers to plan irrigation around natural rainfall, avoiding unnecessary watering and saving significant amounts of water and energy.
It strengthens climate resilience: Long-term insights help farmers choose the right crop varieties for their location, reducing the risk of crop failure and the resulting waste of land, water, and energy.
Expected environmental impact:
Free
Estimated value:
Links of interest: