Pronóstico del rendimiento de cultivo de maíz forrajero basado en variables agronómicas en la ciudad de Quevedo

This research project focused on the construction of predictive models for forage maize yield in Quevedo using supervised machine learning techniques. Agronomic variables such as plant height, stalk diameter, ear insertion, seed variety and planting distance were analyzed, highlighting that greater...

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Bibliografiska uppgifter
Huvudupphovsman: Villarroel Molina, Ricardo Rafael (author)
Materialtyp: masterThesis
Språk:spa
Publicerad: 2024
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Länkar:https://repositorio.uteq.edu.ec/handle/43000/8167
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