947 resultados para Controlo da retracção
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Dissertação de Mestrado, Gestão da Água e da Costa, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2007
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Dissertação de Mestrado, Aquacultura e Pescas, Faculdade de Ciências do Mar e do Ambiente, Universidade do Algarve, 2006
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Dissertação mest., Biotecnologia, Universidade do Algarve, 2008
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Tese dout., Ciências e Tecnologias do Ambiente, 2009, Universidade do Algarve
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Dissertação de mest., Finanças Empresariais, Faculdade de Economia, Univ. do Algarve, 2003
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Dissertação de mest., Engenharia do Ambiente, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2010
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Tese de dout., Engenharia Electrónica e Computação, Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2003
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Tese de dout., Ciências e Tecnologias do Ambiente (Modelação Ambiental), Univ. do Algarve, 1999
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Dissertação de mest., Ciências Económicas e Empresariais, Faculdade de Economia, Univ. do Algarve, 2002
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Dissertação de mest., Biologia Marinha, Faculdade de Ciências do Mar e do Ambiente, Univ. do Algarve, 2010
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Dissertação de mest., Finanças Empresariais, Faculdade de Economia, Universidade do Algarve, 2005
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The implementation of an accurate and reliable data acquisition system is the first step to develope a good control system. This data acquisition should provide valuable data readings, not only for control purposes but also for applications in different research areas.
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One of the aspects of modern agriculture is characterised by a culture without soil (hydroponic cultures). These culture techniques are identified by possessing automatic control systems to control the nutrient solution. In first hydroponic cultures this control was accomplished by “on- off” analog controllers that applied a single control law implemented in hardware. Therefore, the changes of the control law resulted in the change of all interface electronics. In digital control implemented by micro-controllers the alteration of such control law is easily performed by changing only a computer program, leaving untouched all the interface hardware. In this way, the use and substitution of the control strategy is improved, as well, the use of advanced control strategies.
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The problem with the adequacy of radial basis function neural networks to model the inside air temperature as a function of the outside air temperature and solar radiation, and the inside relative humidity in an hydroponic greenhouse is addressed.
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A real-time data acquisition and identification system implemented in a soil-less greenhouse located in the south of Portugal is described. The system performs real-time data acquisition from a set of sensors connected to a data logger.