EcoGrow: Smart Aquaponics Powered by AI & IoT

Python
TensorFlow
PyTorch
YOLO
U-Net
Node-RED
IoT
EcoGrow: Smart Aquaponics Powered by AI & IoT

Overview

EcoGrow reimagines sustainable farming by uniting artificial intelligence and the Internet of Things to automate aquaponics ecosystems. The system continuously collects real-time data from a network of sensors monitoring water quality, nutrient balance, and environmental factors ensuring optimal conditions for both plants and fish. Using YOLO and U-Net models, EcoGrow detects early signs of plant diseases and nutrient deficiencies (N, P, K) in lettuce crops, responding autonomously with precise nutrient dosing. Built on Node-RED, it orchestrates intelligent control, fault alerts, and seamless communication between devices creating a self-regulating, resilient ecosystem that thrives with minimal human intervention.

Key Features

  • AI-Driven Crop Health: Integrated YOLO and U-Net models for real-time plant disease and nutrient deficiency detection.
  • IoT-Based Automation: Smart sensors and actuators continuously monitor and adjust aquaponic parameters for balanced growth.
  • Intelligent Control System: Node-RED integration for device orchestration, alert management, and automatic nutrient regulation.
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