Machine learning methods application to the perennial grasses yield forecast model building under irrigation
Purpose: to test the hypothesis on possibility of perennial grasses yield forecast model building using machine learning methods. For agricultural production planning, the yield forecasting is one of the important tasks, and when using information technologies, building forecast models requires sign...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Russo |
| Опубліковано: |
Russian Scientific Research Institute of Land Improvement Problems
2024-05-01
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| Серія: | Мелиорация и гидротехника |
| Предмети: | |
| Онлайн доступ: | https://rosniipm-sm.ru/article?n=1441 |
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