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...

• Главный автор: Villarroel Molina, Ricardo Rafael (author)
• Формат: masterThesis
• Язык: spa
• Опубликовано: 2024
• Предметы: Maíz; Aagricultura de precisión; Aprendizaje automático; Pronóstico de rendimiento
• Online-ссылка: https://repositorio.uteq.edu.ec/handle/43000/7824