Transforming agriculture with Machine Learning, Deep Learning, and IoT: perspectives from Ethiopia—challenges and opportunities
Abstract Agriculture holds a crucial position in maintaining livelihoods and securing food sources, particularly in nations such as Ethiopia, where a substantial portion of the population depends on agricultural pursuits. However, meeting the growing demand for food production amidst population grow...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer
2024-10-01
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| Серии: | Discover Agriculture |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/s44279-024-00066-7 |
| Метки: |
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