通过热力-机电一体化分析实现植物的最佳生长

J. A. Calderón Ch., J. Tafur, Benjamín Barriga, J. Alencastre, Gonzalo Solano, Rodrigo Urbizagástegui, John H. Lozano, Marvin Chancán
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引用次数: 0

摘要

这项工作被描述为应用现代控制技术和自动化工具来优化植物生长的建议,它也是基于印加帝国等古代文明发展的关键农业战略。许多古老的技术,包括印加的安第斯工程,随着时间的推移被遗忘或搁置了。然而,在这项研究中,这些关键技术中的一些被重新审视,以分析和评估最佳植物生长使用传感器和执行器,这在古代文明中是不可用的。此外,利用预测和自适应数学模型对温度、湿度和pH等热力学参数进行了植物生长分析。此外,由于对植物生长技术的深入研究,我们还比较了基于纳米结构的传感器(机电传感器)和基于纳米结构的传感器的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Plant Growth Through Thermo Mechatronic Analysis
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.
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