Hydroponics Irrigation Predictor Kit v9 - Use Raspberry Pi 5 & LSTM to Save Water

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Stop guessing when to water your hydroponic system. This kit turns a Raspberry Pi 5 into an edge AI brain that collects weeks of sensor data, trains a Long Short-Term Memory (LSTM) neural network, and predicts exactly when your plants will need irrigation - 48 hours in advance. It's precision agriculture brought to your grow tray, built entirely by you.

What You'll Build

You'll wire three soil moisture probes, two DHT22 temperature-humidity sensors, and a BMP280 barometric pressure sensor to the Pi 5. All readings are logged to a 128?GB NVMe SSD via an M.2 HAT+. With a week of historical data, the Pi crunches the numbers and trains an LSTM that forecasts soil moisture trend; the model then runs locally, generating rolling 48-hour irrigation predictions that can be displayed on a dashboard or used to open a solenoid valve automatically.

What You'll Learn

• Collect and preprocess multi-sensor time-series data for ML
• Design and train an LSTM neural network for regression forecasting
• Deploy a TensorFlow Lite or ONNX model directly on Raspberry Pi 5
• Visualize live sensor feeds and predictions with Grafana or a simple web dashboard

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

CBSE Class 11-12 students exploring AI-driven agriculture, B.Tech ECE/EEE teams preparing for Smart India Hackathon challenges on water conservation, and ATL tinkering labs prototyping smart irrigation systems. If you understand basic Python and are ready to dive into edge machine learning, this kit was designed for you.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.