ID:
technologies-910
Name:
Cereal Yield Forecasting Tool
Technology:
Machine Learning (MLR, SVM, RF, XGBoost)
Type:
Yield Forecasting
Data used as input:
Satellite drought indices, weather data, regional climate indices
Produced datasets (openly available):
Not specified
Demo (video if available):
Not specified
Paper (if available):
Cereal yield forecasting with satellite drought-based indices, weather data and regional climate indices using machine learning in Morocco
Paper DOI (if available):
10.3390/rs13163101
Project ID (if available):
823965
Project Acronym (if available):
ACCWA
Service description:
Forecasts cereal yields using machine learning with multiple data sources.
