Cereal yield forecasting with satellite drought-based indices, weather data and regional climate indices using machine learning in morocco

HIGHLIGHTS

• who: El houssaine Bouras et al. from the ProcEDE, Department of Applied Physique, Faculty of Sciences and Technologies, Cadi Ayyad University have published the Article: Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine Learning in Morocco, in the Journal: (JOURNAL) of 31/07/2021
• what: The statistical metrics of the models are first analyzed as a function of the input datasets that are used and as a function of the lead times from 4 months to 2 months before harvest. The models developed in this study had . . .
  

   

  

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