PRE2023 3 Group12
Members
| Name | Student ID | |
|---|---|---|
| Aseem Shakir | 1789767 | a.mahamood.aseem@student.tue.nl |
| Sanshray Malhotra | 1792318 | s.malhotra1@student.tue.nl |
| Nout Van Bommel | 1842110 | n.g.h.v.bommel@student.tue.nl |
| Saqib Khan | 1783432 | s.a.s.khan@student.tue.nl |
| Mara Pop | 1671820 | m.pop@student.tue.nl |
| Adrien Verriele | 1710303 | a.a.m.verriele@student.tue.nl |
Introduction
work
Papers Found With A Short Summary:
Automated Monitoring System for the Fish Farm Aquaculture Environment
The paper introduces a method for fish farmers to actively control their farm. They introduce a problem of waste, unnecessarily created by a lack of monitoring their fish. The waste can be reduced by actively tracking the fish and feeding when needed. They also state that, for optimal farming, the conditions in such a tank should be kept at certain rates. The team establishes a device to monitor the data acquired, using simple but accurate sensors. They describe a way to measure the most important values and how they created a system available for the user. They create a software program that runs on android devices to give the farmers access to the results, and create a space where the farmers can change certain values based on the fish their needs. The paper doesn’t specifically state for which levels the system is made, and what would be optimal for certain species. The energy management of the system is very efficient, and because of the WIFI implementation they created an accessible system.
Design and implementation of a smart monitoring system for water quality of fish farms
Aquarium Monitoring and Automatic Feeding System Based on Internet of Things
https://ojs.unikom.ac.id/index.php/injuratech/article/download/10012/3770/
Logbook
| Week | Student | Work Done | Time | Total Time |
|---|---|---|---|---|
| 1 | ||||