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Data · dataset · 2021

ADO: An Open Digital End-to-End Aquaculture Platform

Listed in Teesside University Research Data Repository

The ADO project proposes the development of an IoT solution that allows the digitization of the aquaculture sector, developing the basic elements (data acquisition systems, data storage system and visualization platform) in open source format.

Description

Hence, ADO makes it easier for small and medium-sized producers to obtain success stories with limited technology background and smaller economic investments. In this article we provide a comprehensive description of the platform building blocks, including the hardware elements, integration procedures and structure, and operation details of the back-end infrastructure.

The description of the added design files follows: 1) PCB/Schematic_Prints.pdf: PDF file containing the schematic describing the interconnections between components of the ADO hardware. 2) PCB/Board.step: the 3D model of the ADO PCB. 3) PCB/BOM.xlsx: Excel file containing the Bill of Materials for replicating the ADO node. 4) PCB/Gerber.zip: compressed file containing the Gerber files for building the ADO PCB and assembling the ADO Node. 5) PCB/NC Drill.zip: compressed file containing the information for drilling the holes in the PCB. 6) PCB/Pick Place.zip: compressed file containing the pick and place instructions for the assembly of the board. 7) Firmware/ADO-Arduino.zip: compressed file containing the source code and the libraries to program the Arduino module.

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This code is automatically installed by the RPi unit and the user does not have to deal with it. The Arduino module collects data from sensors and sends it to the RPi module upon request. 8) Firmware/ADO-RPi.zip: compressed file containing the source code for the RPi. The installation guide is provided in Listing 1 in the paper.

This code handles the Arduino firmware installation, schedules sensor data collection and securely publishes the data to the server. 9) Server/ADO-backend.zip: compressed file containing the source code for the ADO server. It is build on top of a fork of the Mainflux github project. The developed extensions enable its simple deployment and integration to the ADO nodes.

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Where it is published

Catalogue records · 1

Topics

From keywords
Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
Inferred from text
Fisheries sciences 70%
Provenance · 1 source records, 12 field assertions
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