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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| 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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dig-cgspace-10568-1225502023-03-14T11:58:50Z Innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production CGIAR Research Program on 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 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. 2019-12-31 2022-10-06T14:01:00Z 2022-10-06T14:01:00Z Report CGIAR Research Program on Wheat. 2019. Innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production. Reported in Wheat Annual Report 2019. Innovations. https://hdl.handle.net/10568/122550 en CRP Innovation Other Open Access application/pdf |
| institution |
CGIAR |
| collection |
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| country |
Francia |
| countrycode |
FR |
| component |
Bibliográfico |
| access |
En linea |
| databasecode |
dig-cgspace |
| tag |
biblioteca |
| region |
Europa del Oeste |
| libraryname |
Biblioteca del CGIAR |
| language |
English |
| topic |
production crop production drought remote sensing development rural development data forecasting learning systems weather weather forecasting agrifood systems machine learning algorithms approaches paper satellite production crop production drought remote sensing development rural development data forecasting learning systems weather weather forecasting agrifood systems machine learning algorithms approaches paper satellite |
| spellingShingle |
production crop production drought remote sensing development rural development data forecasting learning systems weather weather forecasting agrifood systems machine learning algorithms approaches paper satellite production crop production drought remote sensing development rural development data forecasting learning systems weather weather forecasting agrifood systems machine learning algorithms approaches paper satellite CGIAR Research Program on Wheat Innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production |
| 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. |
| format |
Report |
| topic_facet |
production crop production drought remote sensing development rural development data forecasting learning systems weather weather forecasting agrifood systems machine learning algorithms approaches paper satellite |
| author |
CGIAR Research Program on Wheat |
| author_facet |
CGIAR Research Program on Wheat |
| author_sort |
CGIAR Research Program on Wheat |
| title |
Innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production |
| title_short |
Innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production |
| title_full |
Innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production |
| title_fullStr |
Innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production |
| title_full_unstemmed |
Innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production |
| title_sort |
innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production |
| publishDate |
2019-12-31 |
| url |
https://hdl.handle.net/10568/122550 |
| work_keys_str_mv |
AT cgiarresearchprogramonwheat innovativeuseofsatellitedatafromremotesensingandsupervisedlearningtoreducetheimpactofdroughtoncropproduction |
| _version_ |
1779055554204794880 |