Kiyanoosh Zangeneh
Design of a Graphic Interface for Precision Agriculture.
Rel. Danilo Demarchi, Umberto Garlando. Politecnico di Torino, Master of science program in Electronic Engineering, 2024
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Abstract
This thesis delves into the integration of sensor data from agricultural monitoring nodes, emphasizing the utilization of The Things Network Storage Integration to access historical data. It investigates the implementation of Grafana dashboards for comprehensive data visualization and leverages geospatial information for monitoring and actuation nodes. Central to the study is the creation of an interactive dashboard solution, combining high-resolution satellite imagery with GPX data to provide geographical context to sensor information. Authentication methods are explored, ensuring user-specific access to dashboard data. The research extends the temporal scope beyond the standard 30-day period by importing historical data, addressing the limitations commonly encountered in such systems.
By synthesizing IoT technology with advanced data visualization tools, this work aims to offer insights and practical solutions for precision agriculture
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