Data-driven farming proves fertile ground for O.R.: How CGIAR and CIAT are helping to bridge the human capital divide and grow the digital revolution in the developing world’s agriculture industry.
| Main Authors: | , , |
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| Format: | Magazine Article |
| Language: | Inglés |
| Published: |
Institute for Operations Research and the Management Sciences
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/92045 |
| _version_ | 1855538238624628736 |
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| author | Ramírez Villegas, Julián Armando Jiménez, Daniel Lougee, Robin |
| author_browse | Jiménez, Daniel Lougee, Robin Ramírez Villegas, Julián Armando |
| author_facet | Ramírez Villegas, Julián Armando Jiménez, Daniel Lougee, Robin |
| author_sort | Ramírez Villegas, Julián Armando |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| format | Magazine Article |
| id | CGSpace92045 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Institute for Operations Research and the Management Sciences |
| publisherStr | Institute for Operations Research and the Management Sciences |
| record_format | dspace |
| spelling | CGSpace920452025-11-05T16:52:58Z Data-driven farming proves fertile ground for O.R.: How CGIAR and CIAT are helping to bridge the human capital divide and grow the digital revolution in the developing world’s agriculture industry. Ramírez Villegas, Julián Armando Jiménez, Daniel Lougee, Robin data big data digital datos agriculture artificial intelligence inteligencia artificial crop management manejo de cultivo innovation climate change cambio climático technology 2018-04 2018-04-10T18:28:20Z 2018-04-10T18:28:20Z Magazine Article https://hdl.handle.net/10568/92045 en Open Access application/pdf Institute for Operations Research and the Management Sciences Ramirez-Villegas, Julian, Jiménez, Daniel, Lougee, Robin. 2018. Data-driven farming proves fertile ground for O.R.: How CGIAR and CIAT are helping to bridge the human capital divide and grow the digital revolution in the developing world’s agriculture industry. ORMS Today. 20-23 p. |
| spellingShingle | data big data digital datos agriculture artificial intelligence inteligencia artificial crop management manejo de cultivo innovation climate change cambio climático technology Ramírez Villegas, Julián Armando Jiménez, Daniel Lougee, Robin Data-driven farming proves fertile ground for O.R.: How CGIAR and CIAT are helping to bridge the human capital divide and grow the digital revolution in the developing world’s agriculture industry. |
| title | Data-driven farming proves fertile ground for O.R.: How CGIAR and CIAT are helping to bridge the human capital divide and grow the digital revolution in the developing world’s agriculture industry. |
| title_full | Data-driven farming proves fertile ground for O.R.: How CGIAR and CIAT are helping to bridge the human capital divide and grow the digital revolution in the developing world’s agriculture industry. |
| title_fullStr | Data-driven farming proves fertile ground for O.R.: How CGIAR and CIAT are helping to bridge the human capital divide and grow the digital revolution in the developing world’s agriculture industry. |
| title_full_unstemmed | Data-driven farming proves fertile ground for O.R.: How CGIAR and CIAT are helping to bridge the human capital divide and grow the digital revolution in the developing world’s agriculture industry. |
| title_short | Data-driven farming proves fertile ground for O.R.: How CGIAR and CIAT are helping to bridge the human capital divide and grow the digital revolution in the developing world’s agriculture industry. |
| title_sort | data driven farming proves fertile ground for o r how cgiar and ciat are helping to bridge the human capital divide and grow the digital revolution in the developing world s agriculture industry |
| topic | data big data digital datos agriculture artificial intelligence inteligencia artificial crop management manejo de cultivo innovation climate change cambio climático technology |
| url | https://hdl.handle.net/10568/92045 |
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