Innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production
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.
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| Main Author: | |
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| Format: | Report biblioteca |
| Language: | English |
| Published: |
2019-12-31
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| Subjects: | production, crop production, drought, remote sensing, development, rural development, data, forecasting, learning, systems, weather, weather forecasting, agrifood systems, machine learning, algorithms, approaches, paper, satellite, |
| Online Access: | https://hdl.handle.net/10568/122550 |
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