Sistema de alimentación fotovoltaica y registro de datos en la nube por medio de IOT para un dispositivo detector de mancha gris sobre la hoja de la uchuva
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A database was implemented through the IoT Thing Speak analysis platform to publish, store and visualize the information acquired (humidity, temperature and percentage of affection) by the gray spot detector device on the cape gooseberry leaf. For this purpose, the Raspberry Pi card was used as a microprocessor and the MQTT (Message Queue Telemetry Transport) protocol was implemented with the Python programming language to connect and send the data from the sensors to the assigned Broker. In addition, a photovoltaic charging system was adapted to the gray spot detector device for the charging and sustainability of the project's power supply. Finally, a basic manual was created for the user to learn about the handling and care of the device.