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Development of a web-based dashboard enabling the monitoring of bees' health

Giulio Vallini

Development of a web-based dashboard enabling the monitoring of bees' health.

Rel. Fabrizio Riente, Giovanna Turvani. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2023


In the context of modern agriculture digital products are spreading more and more, sensors, actuators and in general IoT products are taking over. The need of monitoring goods and signaling potential threats rather than take automatic and fast actions in response are tasks that Internet of Things technologies are very good at carrying out. All those actions requires Human Machine Interfaces to be monitored and controlled by us as humans. Embedded, low power and wide range networks suits the need of exchange data between electronic boards and some cloud provider over the internet while web-based applications can deliver to the final user the handles to perform tasks and ways to monitor any kind of measurable data. This dissertation presents the design and implementation of a complete web application following a monolithic MERN stack blueprint. The goal of this app is collecting data coming from a cloud provider (The Things Network), store it in a local database and provide an interactive dashboard which can be used over conventional web browsers. The application is composed of three main parts, the server which is in charge of acquiring data from the external provider and expose web APIs for interrogating it, the database which provides a way to store the data in a permanent and structured way and a front-end web application with the objective of delivery an effective dashboard to the end user. The final result is an application which is able to present data coming from sensors which are installed inside beehives to farmers, with a focus on the health status of the hive. The application is intended for end users to show only corresponding data and for administrators to enable managing users creation and administration as well as devices monitoring. The application has been developed with a focus on adaptability and automation, future work may involve further improvements to the user interface and the integration of additional data sources.

Relators: Fabrizio Riente, Giovanna Turvani
Academic year: 2022/23
Publication type: Electronic
Number of Pages: 75
Additional Information: Tesi secretata. Full text non presente
Corso di laurea: Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica)
Classe di laurea: New organization > Master science > LM-25 - AUTOMATION ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/26744
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