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| Firstname: | M . |
| Surname: | Devare |
| Email: | m.devare@cgiar.org |
| Institute: | IITA |
| Homepage: | http://www.iita.org |
Found authors with very similar names.
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| Integrating APSIM model with machine learning to predict wheat yield spatial distribution, Kheir, A. M. S., Mkuhlani, S., Mugo, J. W., Elnashar, A., Nangia, V., Devare, M . and Govind, A., in: Agronomy Journal, pages 1-9, ISSN 0002-1962, 2023. [DOI] |
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| DataScribe: user manual, Aubert, C. and Devare, M ., 2023. |
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| Large language models and agricultural extension services, Tzachor, A., Devare, M ., Richards, C., Pypers, P ., Ghosh, A., Koo, J., Johal, S. and King, B., in: Nature Food, volume 4, pages 941-948, ISSN 2662-1355, 2023. [DOI] |
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| EiA implementation guide to meet data managemet goals: Excellence in Agronomy Initiative, Devare, M . and Aubert, C., International Institute of Tropical Agriculture, 2023. |
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| Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities, Tzachor, A., Devare, M ., King, B., Avin, S. and hÉigeartaigh, S.Ó., in: Nature Machine Intelligence, volume 4, pages 104-109, ISSN 2522-5839, 2022. [DOI] |
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| Governing agricultural data: challenges and recommendations, Devare, M ., Arnaud, E., Antezana, E. and King, B., pages 201-222, Springer, ISBN 978-3-031-13275-9, 2022. [DOI] |
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