dc.description.abstract | la producción y calidad final del grano de café. Lo anterior, se logra mediante el diseño e
implementación de una interfaz de grafica desplegada en la nube conectada al nodo central
de la red inalámbrica de sensores a través de la plataforma de Google Firebase. La
implementación de este proyecto permite recopilar información detallada acerca de las
diferentes variables climáticas y en función de estas, brindar una herramienta de ayuda para
la toma de decisiones por parte de los expertos. Además, proporciona una alternativa para
la gestión y monitoreo remoto de las redes inalámbricas de sensores.
Con base a los resultados obtenidos en las pruebas de funcionamiento se concluye que el
sistema web permite a los usuarios acceder a la información sobre el estado de un cultivo
en tiempo real desde cualquier dispositivo conectado a Internet. Dicho sistema cuenta con
una interfaz de usuario intuitiva y fácil de usar, mostrando información sobre variables
climáticas a través de tablas de datos y gráficas interactivas que se actualizan en tiempo
real. El sistema administra roles de usuario para proteger la privacidad de los datos y
garantizar la seguridad de la red de sensores. Por último, permite la configuración remota
de parámetros de la red inalámbrica de sensores para optimizar el proceso de análisis de
datos.
Farmers often do not take into account environmental factors such as soil, water, climate or
ecosystem, not knowing that the interaction of these can negatively affect grain
development, resulting in a decrease in size and quality. Therefore, it is crucial to understand
the evolution of different climatic variables in a crop in order to implement effective
management strategies that minimize environmental impact and have a low impact on crop
yield and quality.
The objective of this degree project is to develop a remote data acquisition and management
system for a wireless sensor network that periodically collects data on the main climatic
variables that influence the physiological response of coffee plants. The development of the
project seeks to facilitate real-time analysis for informed decisión making by experts, and
thus contribute to the improvement of the production and final quality of the coffee bean. This
is achieved through the design and implementation of a graphical interface deployed in the
cloud connected to the central node of the wireless sensor network through the Google
Firebase platform. The implementation of this project allows the collection of detailed
information about the different climatic variables and based on these, provide a decision
support tool for decisión making by experts. In addition, it provides an alternative for the
remote management and monitoring of wireless sensor networks.
Based on the results obtained in the operational tests, it is concluded that the web system
allows users to access information on the status of a crop in real time from any device
connected to the Internet. The system has an intuitive and easy-to-use user interface,
displaying information on climatic variables through data tables and interactive graphs that
are updated in real time. The system manages user roles to protect data privacy and ensure
the security of the sensor network. Finally, it allows remote configuration of wireless sensor
network parameters to optimize the data analysis process. | spa |