Optimal plant growth through thermo mechatronic analysis

J. Alan Calderón, Julio Tafur, Benjamín Barriga, Jorge Alencastre, Gonzalo Solano, Rodrigo Urbizagástegui, John Lozano, Marvin Chancán

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaWMSCI 2022 - 26th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
EditoresNagib C. Callaos, Natalja Lace, Belkis Sanchez, Michael Savoie
EditorialInternational Institute of Informatics and Cybernetics
Páginas65-70
Número de páginas6
ISBN (versión digital)9781950492640
DOI
EstadoPublicada - 2022
Evento26th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2022 - Virtual, Online
Duración: 12 jul. 202215 jul. 2022

Serie de la publicación

NombreProceedings of World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI
Volumen1
ISSN (versión impresa)2771-0947

Conferencia

Conferencia26th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2022
CiudadVirtual, Online
Período12/07/2215/07/22

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