TY - GEN
T1 - Optimal plant growth through thermo mechatronic analysis
AU - Calderón, J. Alan
AU - Tafur, Julio
AU - Barriga, Benjamín
AU - Alencastre, Jorge
AU - Solano, Gonzalo
AU - Urbizagástegui, Rodrigo
AU - Lozano, John
AU - Chancán, Marvin
N1 - Publisher Copyright:
Copyright 2022. © by the International Institute of Informatics and Systemics. All rights reserved.
PY - 2022
Y1 - 2022
N2 - This work is described as a proposal to apply modern control techniques and automation tools for optimal plant growth, also it was based on key agricultural strategies that were developed by ancient civilizations such as the Inca Empire. Many of them ancient techniques including the Inca engineering of andenes were forgotten or set aside through time. In this research, however, some of these key techniques are revisited to analyze and evaluate optimal plant growth using sensors and actuators that were not available in ancient civilizations. In addition, predictive and adaptive mathematical models are used for plant growth analysis of thermodynamic parameters such as temperature, humidity and potential of Hydrogen (pH). Furthermore, there were compared performances of sensors (electromechanical sensors) with designed sensors that were based in nanostructures, because of better study of the plant growth techniques.
AB - This work is described as a proposal to apply modern control techniques and automation tools for optimal plant growth, also it was based on key agricultural strategies that were developed by ancient civilizations such as the Inca Empire. Many of them ancient techniques including the Inca engineering of andenes were forgotten or set aside through time. In this research, however, some of these key techniques are revisited to analyze and evaluate optimal plant growth using sensors and actuators that were not available in ancient civilizations. In addition, predictive and adaptive mathematical models are used for plant growth analysis of thermodynamic parameters such as temperature, humidity and potential of Hydrogen (pH). Furthermore, there were compared performances of sensors (electromechanical sensors) with designed sensors that were based in nanostructures, because of better study of the plant growth techniques.
KW - nanostructures
KW - plant growth
KW - thermodynamic systems
UR - http://www.scopus.com/inward/record.url?scp=85146841036&partnerID=8YFLogxK
U2 - 10.54808/WMSCI2022.01.65
DO - 10.54808/WMSCI2022.01.65
M3 - Conference contribution
AN - SCOPUS:85146841036
T3 - Proceedings of World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI
SP - 65
EP - 70
BT - WMSCI 2022 - 26th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
A2 - Callaos, Nagib C.
A2 - Lace, Natalja
A2 - Sanchez, Belkis
A2 - Savoie, Michael
PB - International Institute of Informatics and Cybernetics
T2 - 26th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2022
Y2 - 12 July 2022 through 15 July 2022
ER -