6 research outputs found

    Development and implementation of a smart greenhouse

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    A smart greenhouse was developed at Laboratorio de Informatica Aplicada with the department of Agronomic Engineering at the University of Rio Negro, it must provide real-time measurements of parameters such as humidity, temperature and luminosity; it also must allow manual and automatic control for actuators such as heaters, sprinklers and fans based on user input. In order to fulfill the aforementioned requirements the following actions were performed: (a) Design and implementation of a webpage to communicate with and control the greenhouse and, (b) Development: at first a model using Object Oriented Programming was implemented in an Arduino Mega board equipped with an ethernet shield; posteriorly, given that Arduino could not fulfill the necessary tasks, it was decided to develop a second prototype using a Raspberry Pi 2 Model B+ board along with completely new software programmed in Python 3.X Workshop Procesamiento de Señales y Sistemas de Tiempo Real.Red de Universidades con Carreras en Informátic

    Development and implementation of a smart greenhouse

    Get PDF
    A smart greenhouse was developed at Laboratorio de Informatica Aplicada with the department of Agronomic Engineering at the University of Rio Negro, it must provide real-time measurements of parameters such as humidity, temperature and luminosity; it also must allow manual and automatic control for actuators such as heaters, sprinklers and fans based on user input. In order to fulfill the aforementioned requirements the following actions were performed: (a) Design and implementation of a webpage to communicate with and control the greenhouse and, (b) Development: at first a model using Object Oriented Programming was implemented in an Arduino Mega board equipped with an ethernet shield; posteriorly, given that Arduino could not fulfill the necessary tasks, it was decided to develop a second prototype using a Raspberry Pi 2 Model B+ board along with completely new software programmed in Python 3.X Workshop Procesamiento de Señales y Sistemas de Tiempo Real.Red de Universidades con Carreras en Informátic

    Development and implementation of a smart greenhouse

    Get PDF
    A smart greenhouse was developed at Laboratorio de Informatica Aplicada with the department of Agronomic Engineering at the University of Rio Negro, it must provide real-time measurements of parameters such as humidity, temperature and luminosity; it also must allow manual and automatic control for actuators such as heaters, sprinklers and fans based on user input. In order to fulfill the aforementioned requirements the following actions were performed: (a) Design and implementation of a webpage to communicate with and control the greenhouse and, (b) Development: at first a model using Object Oriented Programming was implemented in an Arduino Mega board equipped with an ethernet shield; posteriorly, given that Arduino could not fulfill the necessary tasks, it was decided to develop a second prototype using a Raspberry Pi 2 Model B+ board along with completely new software programmed in Python 3.X Workshop Procesamiento de Señales y Sistemas de Tiempo Real.Red de Universidades con Carreras en Informátic

    Ciencia de datos aplicada : Estudio de casos en diversas áreas, focalizado en la industria agropecuaria de la provincia de Rio Negro

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    Las organizaciones están buscando una nueva manera de producir optimizando y potenciando sus recursos, es por ello que están incorporando tecnologías que conectan el mundo físico con el virtual a través de diversos dispositivos que le permitan acceder a grandes cantidades de datos en tiempo real y tomar mejores decisiones en todo el proceso productivo. Por otra parte, la Ciencia de Datos es un conjunto de principios fundamentales que apoyan y guían la extracción de información y conocimiento a partir de los datos; incluye diversas metodologías, técnicas, algoritmos y herramientas que facilitan el procesamiento avanzado y automático de los mismos; permitiendo identificar información relevante y estratégica, que a simple vista no es detectada. Este proyecto tiene por objetivo articular integradamente mecanismos de proceso de interpretación de grandes masas de información en diversas industrias, (con hincapié en la agropecuaria de la provincia de Río Negro), a través diversas técnicas de tratamiento de datos y su visualización brindada por la Ciencia de Datos.Eje: Bases de Datos y Minería de Datos.Red de Universidades con Carreras en Informátic
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