Implementation of Long-Term Forecasting Models in Sugarcane for Agricultural Planning and Yield Goals Setting
This work aims to evaluate the efficiency of a long-term yield forecasting system for each minimum management unit (plot) at a sugar mill in Panama. Eleven teleconnections were used to forecast tons of cane per hectare (TCH) using Machine Learning (ML) with a lead time of 15-17 months before harvest...
Збережено в:
| Автори: | , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2025-01-01
|
| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/11303050/ |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|
