TY - GEN
T1 - Smart Alert System for Potted Plants that Optimizes Water Consumption
AU - Ulloa Rubio, Bertha
AU - Baltodano Nontol, Luz Alicia
AU - Gaytan Reyna, Karina Liliana
AU - Carrera Ruiz, Kewin Miguel
N1 - Publisher Copyright:
© 2024 by the International Institute of Informatics and Systemics. All rights reserved.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - In this research, the importance of environmental variables was analyzed with the alternatives offered by the Internet of Things, in terms of elementary processes of daily life such as monitoring a potted plant. The objective of the prototype was to develop an intelligent alert system to monitor the various variables of the environment, for this, work was carried out in four main phases: sensors that monitored the temperature and humidity of the weather, a light sensor that detected solar intensity, soil moisture sensor that monitored soil moisture time and the air quality sensor determined the carbon dioxide in the environment. The microcontroller was integrated to detect the variables of the sensors that were linked to the industrial platform connected to the cloud for the Internet of Things, which allowed to visualization of the graphs in real time and also worked with the analysis of the database. Finally, the result was a platform connected to different applications to carry out alert activities with calls and text messages to the cell phone of the owner of the pot with plant.
AB - In this research, the importance of environmental variables was analyzed with the alternatives offered by the Internet of Things, in terms of elementary processes of daily life such as monitoring a potted plant. The objective of the prototype was to develop an intelligent alert system to monitor the various variables of the environment, for this, work was carried out in four main phases: sensors that monitored the temperature and humidity of the weather, a light sensor that detected solar intensity, soil moisture sensor that monitored soil moisture time and the air quality sensor determined the carbon dioxide in the environment. The microcontroller was integrated to detect the variables of the sensors that were linked to the industrial platform connected to the cloud for the Internet of Things, which allowed to visualization of the graphs in real time and also worked with the analysis of the database. Finally, the result was a platform connected to different applications to carry out alert activities with calls and text messages to the cell phone of the owner of the pot with plant.
KW - Internet of Things platform
KW - Sensors
KW - database
KW - industrial platform
UR - https://www.scopus.com/pages/publications/85206639884
U2 - 10.54808/WMSCI2024.01.60
DO - 10.54808/WMSCI2024.01.60
M3 - Conference contribution
AN - SCOPUS:85206639884
T3 - Proceedings of World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI
SP - 60
EP - 67
BT - WMSCI 2024 - 28th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
A2 - Callaos, Nagib C.
A2 - Gaile-Sarkane, Elina
A2 - Lace, Natalja
A2 - Sanchez, Belkis
A2 - Savoie, Michael
PB - International Institute of Informatics and Cybernetics
T2 - 28th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2024
Y2 - 10 September 2024 through 13 September 2024
ER -