A collection of valuable resources for making your own IoT aquaponic monitoring system.

This repository contains the coding for Smart Aquaponics Systems IoT solutions

An aquaponics IoT system for fish tank data monitoring and home plant irrigation

This repository contains the Python implementation for the article "Scalable Anomaly Detection and Pattern Mining in IoT Aquaponics Systems via Federated Learning." The code integrates PrefixSpan for pattern mining and a federated learning framework for decentralized anomaly detection in IoT-enabled aquaponics systems.

Breedward is an IoT-based aquaponics monitoring system using ESP32 to collect real-time water quality data (pH, temperature, turbidity) and Firebase for cloud storage and synchronization, accessible through a Flutter mobile application.

ARAS is an IOT cloud-based remote aquaponic system that makes it possible to produce sustainably and economically at all hours and in all seasons.

An IoT based aquaponics monitoring system

This is an IoT monitioring system for Aquaponics.

An Aquaponics System with real time IoT Monitoring

This project introduces an IoT-enabled aquaponics system designed to monitor and maintain optimal environmental conditions for fish and plant growth.

No description available

This device will be a microcontroller embedded with various sensors that measures environmental factors concerning the aquaponics system. These measurements are then transmitted wirelessly to a web server and the data will be neatly displayed in a dashboard controller to the user’s computer or mobile device wirelessly via a local network.

Smart monitoring and control systems for Aquaponics on RPI with Windows 10 IoT Core

This is a simple IOT Project build for an smart aquaponics system.

TOSI – An AI-Enabled, IoT-Driven Smart Aquaponics Environmental Monitoring and Management System

IOT project for aquaponic system using esp8266/esp32

Aquaponics Controlled Environment Farming IoT System, The Publish/Subscribe Brokers are developed using Python.

No description available

Final Year Project

Early warning system that caters for inexpensive IoT sensors in an aquaponic system.

This repository contains the Python implementation for the article "Federated Learning for Scalable Anomaly Detection and Pattern Discovery in IoT-Enabled Aquaponics Systems" The code integrates PrefixSpan for pattern mining and a federated learning framework for decentralized anomaly detection in IoT-enabled aquaponics systems.

An application to monitor water quality, integrating Internet of Things (IoT) technology to monitor the water quality of aquaponics systems.

Automized aquaponics system with App integration via Android Development (KOTLIN). IOT integration with ESP32 (C++) and FIREBASE for realtime database and control.

n IoT-powered real-time monitoring and control system for smart hydroponic and aquaponic farming

AquaNexus - IoT-enabled aquaponics monitoring system with ESP32 integration, real-time sensor data, AI analysis, and comprehensive dashboard for fish and plant environment management.

Aruponic is an IoT integrated mobile App to track water quality in aquaponic system and automating feeding and watering system.

Dual-node IoT system utilizing ESP-NOW and GSM to monitor aquaponic water quality and level, integrated with an AI Chatbot for remote, accessible operation.

This project develops a Smart Aquaponics Farming System that uses IoT sensors to monitor water conditions in real time. Data is displayed on a dashboard with alerts to support better system management. The aim is to promote efficient, sustainable urban farming and improve food security.

Aquanexus is an AI, ML, and IoT-driven aquaponics system that monitors fish and plant health in real time. It uses sensors for water quality, computer vision for disease detection, and predictive analytics to improve sustainability, efficiency, and overall farm productivity

PLANT-E is an IOT cloud-based remote aquaponic system that makes it possible to produce sustainably and economically at all hours and in all seasons.