Application of a Supervised Learning Model to Analyze the Behavior of Environmental Variables in a Coffee Crop
Context: The collection and storage of data on environmental variables in a coffee crop, through wireless sensor networks allow the transformation of said data and the application of a supervised learning model to establish its behavior. Method: For the present work, an architecture of 3 wireless...
Main Authors: | , , |
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Format: | Article |
Language: | Spanish |
Published: |
Universidad Distrital Francisco José de Caldas
2020-10-01
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Series: | Ingeniería |
Subjects: | |
Online Access: | https://revistas.udistrital.edu.co/index.php/reving/article/view/16898 |