Modelo basado en machine learning para la predicción de variables empleadas en el secado de semilla en horno microondas
Seed drying involves reducing the moisture content at recommended levels, using techniques that do not deteriorate their viability, avoid deterioration, heating and infestation during storage. The present project is based on developing a model based on Machine Learning for predicting the variables u...
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| Format: | bachelorThesis |
| Language: | spa |
| Published: |
2019
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| Online Access: | http://repositorio.utc.edu.ec/handle/27000/5340 |
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