Simple and multiple regression: application in the prediction of natural variables related to microalgae growing process
Αποθηκεύτηκε σε:
| Συγγραφείς: | , , , , , |
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| Μορφή: | artículo original |
| Κατάσταση: | Versión publicada |
| Ημερομηνία έκδοσης: | 2016 |
| Περιγραφή: | Nowadays, there is a growing need in various research fields and in the industry of precision agriculture to record and process data from multiple sensors, sensors sometimes located in remote areas, miles apart from each other. The usual approach to sensor data recording implies measurement of each variable in separate equipment, making it difficult and expensive to integrate and process jointed data. The possibility of incorporating the theme of Internet of Things (I.oT.) in research is being analyzed to take advantage of the ubiquitous computing capabilities available today. This article is about simple regression and multiple regression models, which offer the bases to explore the relationship between variables associated to microalgae kinetic growth: temperature, light, pH and dissolved oxygen. Recorded data will provide new approaches to present works; in this way, researchers will perform various data analysis online. |
| Χώρα: | RepositorioTEC |
| Ίδρυμα: | Instituto Tecnológico de Costa Rica |
| Repositorio: | RepositorioTEC |
| Γλώσσα: | Español |
| OAI Identifier: | oai:repositoriotec.tec.ac.cr:2238/8919 |
| Διαθέσιμο Online: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/2983 |
| Access Level: | acceso abierto |
| Λέξη-Κλειδί : | Microalgae; simple regression; multiple regression; predictive variables Microalgas; regresión simple; regresión múltiple; variables predictivas |