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Innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production
| Content Provider | Consultative Group on International Agricultural Research (CGIAR) |
|---|---|
| Description | Use of this method is still exploratory, and the paper explores different approaches that could be used. It is the first step towards a process of weather forecasting using machine learning and deep learning algorithms. |
| Sponsorship | CGIAR Research Program on Wheat |
| Related Links | https://cgspace.cgiar.org/items/6abcd29e-8062-4a3f-85a0-81a97502c51e |
| File Format | |
| Language | English |
| Publisher Date | 2019-12-31 |
| Access Restriction | Open |
| Subject Keyword | Wheat Production Crop Production Drought Remote Sensing Development Rural Development Data Forecasting Learning Systems Weather Weather Forecasting Agrifood Systems Machine Learning Algorithms Approaches Paper Satellite |
| Content Type | Text |
| Resource Type | Report |
| Subject | Agronomy and Crop Science Food Science Plant Science |
