Set of solutions using remote sensing and supervised learning to replace autoregressive integrated moving average models to forecast weather

Meteorological indices can be used as substitutes for AIs. We discuss meteorological indexes and review SL approaches that are suitable for predicting drought based on historical satellite data.

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Bibliographic Details
Main Author: CGIAR Research Program on Wheat
Format: Report biblioteca
Language:English
Published: 2020-12-31
Subjects:models, drought, remote sensing, development, rural development, data, learning, systems, weather, agrifood systems, approaches, solutions, satellite,
Online Access:https://hdl.handle.net/10568/122616
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