Lawn Irrigation Controller Kit v11 - AI Soil Health Predictor for Raspberry Pi 5

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

Transform your lawn into a data-driven ecosystem. This kit equips you with a Raspberry Pi 5, precision soil sensors, and high-speed storage to collect multi-season readings and train a gradient boosting model that predicts a soil health index per crop cycle. Perfect for precision irrigation experiments and smart agriculture projects.

What You'll Build

You'll assemble a multi-sensor data logger with three soil moisture sensors, a pH probe, and two DS18B20 temperature sensors. The Pi 5 stores timestamped readings on a 128GB NVMe SSD, building a rich seasonal dataset. Then you'll run an XGBoost regression pipeline on the Pi itself to forecast a numeric soil health score, viewable on a local dashboard. The predicted index can trigger irrigation valves or send alerts when soil conditions deviate.

What You'll Learn

• Acquire and timestamp IoT sensor data at sub-hourly intervals across seasons
• Preprocess irregular time-series data and engineer features for machine learning
• Train, validate, and interpret a gradient boosting regression model on edge hardware
• Deploy an inference pipeline that runs entirely on the Raspberry Pi 5, without cloud dependency

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately