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: | William Ruiz Martinez, Roberto Ferro Escobar, Javier Moncada |
---|---|
Format: | Article |
Language: | Spanish |
Published: |
Universidad Distrital Francisco José de Caldas
2020-10-01
|
Series: | Ingeniería |
Subjects: | |
Online Access: | https://revistas.udistrital.edu.co/index.php/reving/article/view/16898 |
Similar Items
-
Application of the Internet of Things through a Network of Wireless Sensors in a Coffee Crop for Monitoring and Control its Environmental Variables
by: William Ruíz Martínez, et al.
Published: (2019-09-01) -
Supervised and unsupervised learning for plant and crop row detection in precision agriculture
by: Varshney, Varun
Published: (2017) -
Semi-supervised oblique predictive clustering trees
by: Tomaž Stepišnik, et al.
Published: (2021-05-01) -
Ion selective electrodes in environmental analysis
by: Radu Aleksandar, et al.
Published: (2013-01-01) -
A Novel Method on Hydrographic Survey Technology Selection Based on the Decision Tree Supervised Learning
by: Ivana Golub Medvešek, et al.
Published: (2021-05-01)