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...

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Váldodahkkit:	Joel Morales Lemus, David Mera, Jose Luis Queme de Leon, Jose Manuel Cotos
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IEEE 2025-01-01
Ráidu:	IEEE Access
Fáttát:	Climate teleconnections machine learning sugarcane yield forecasts
Liŋkkat:	https://ieeexplore.ieee.org/document/11303050/
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