Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
Applied Nanophysics, Institute for Physics, Technical University of Ilmenau, Ilmenau, Germany / Engineering Department, Mechatronic Master Program, Pontificia Universidad Católica del Peru, Lima, Peru
Julio Tafur
Engineering Department, Mechatronic Master Program, Pontificia Universidad Católica del Peru, Lima, Peru
Benjamín Barriga
Engineering Department, Mechatronic Master Program, Pontificia Universidad Católica del Peru, Lima, Peru
Jorge Alencastre
Engineering Department, Mechatronic Master Program, Pontificia Universidad Católica del Peru, Lima, Peru
Gonzalo Solano
Engineering Department, Mechatronic Master Program, Pontificia Universidad Católica del Peru, Lima, Peru
Rodrigo Urbizagástegui
Engineering Department, Mechatronic Master Program, Pontificia Universidad Católica del Peru, Lima, Peru
John Lozano
Mechatronic Department, Northern (Artic) Federal University, Arkhangelsk, Russia / Engineering Department, Mechatronic Master Program, Pontificia Universidad Católica del Peru, Lima, Peru
Marvin Chancán
Electrical Engineering and Robotics School, Queensland University of Technology, St Lucia, Queensland, Australia
Cite this paper as: Calderón Ch., J. A., Tafur, J., Barriga, B., Alencastre, J., Solano, G., Urbizagástegui, R., Lozano, J., Chancán, M. (2022). Optimal Plant Growth Through Thermo Mechatronic Analysis. Journal of Systemics, Cybernetics and Informatics, 20(4), 76-81. https://doi.org/10.54808/JSCI.20.04.76
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.
