Víctor Asanza, Rebeca Estrada, Steven Santillan, Juan Cadena

This dataset includes the 3-day record (December 6 to December 8, 2020) of a plantation in the city of Guayaquil - Ecuador. This dataset includes the recording of the following variables: Relative Humidity, Environment Temperature, Soil moisture, Light intensity, and Rain Occurrence. An arduino uno module was used to record data, connected to the following sensors:

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

Documentation: 
AttachmentSize
File main.pdf251.31 KB
[1] Juan Cadena, Steven Santillan, Víctor Asanza, Rebeca Estrada, "Weather Monitoring Station For Farms And Agriculture", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/mdfs-ya42. Accessed: Feb. 25, 2024.
@data{mdfs-ya42-21,
doi = {10.21227/mdfs-ya42},
url = {http://dx.doi.org/10.21227/mdfs-ya42},
author = {Juan Cadena; Steven Santillan; Víctor Asanza; Rebeca Estrada },
publisher = {IEEE Dataport},
title = {Weather Monitoring Station For Farms And Agriculture},
year = {2021} }
TY - DATA
T1 - Weather Monitoring Station For Farms And Agriculture
AU - Juan Cadena; Steven Santillan; Víctor Asanza; Rebeca Estrada
PY - 2021
PB - IEEE Dataport
UR - 10.21227/mdfs-ya42
ER -
Juan Cadena, Steven Santillan, Víctor Asanza, Rebeca Estrada. (2021). Weather Monitoring Station For Farms And Agriculture. IEEE Dataport. http://dx.doi.org/10.21227/mdfs-ya42
Juan Cadena, Steven Santillan, Víctor Asanza, Rebeca Estrada, 2021. Weather Monitoring Station For Farms And Agriculture. Available at: http://dx.doi.org/10.21227/mdfs-ya42.
Juan Cadena, Steven Santillan, Víctor Asanza, Rebeca Estrada. (2021). "Weather Monitoring Station For Farms And Agriculture." Web.
1. Juan Cadena, Steven Santillan, Víctor Asanza, Rebeca Estrada. Weather Monitoring Station For Farms And Agriculture [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/mdfs-ya42
Juan Cadena, Steven Santillan, Víctor Asanza, Rebeca Estrada. "Weather Monitoring Station For Farms And Agriculture." doi: 10.21227/mdfs-ya42