SoilX · Learning Resources

Learn drone-borne GPR & AI for precision agriculture

Educational videos covering ground penetrating radar, soil moisture science, machine learning signal processing, and drone integration — from fundamentals through research-level concepts.

Learning path

GPR fundamentals

Soil moisture science

ML signal processing

Drone integration

Modules

Module 01
Beginner Hardware

Introduction to GPR fundamentals

How ground penetrating radar works — electromagnetic pulse propagation, signal reflection, and the basics of subsurface imaging.

Introduction to GPR Fundamentals
View related publications →
Module 02
Beginner Soil science

Soil moisture measurement techniques

Understanding root-zone moisture, dielectric properties of soil, and how water content affects GPR signal behavior underground.

Soil Moisture Measurement Techniques
Read: Soil Water Content Estimation (PDF) →
Module 03
Intermediate ML / AI

Machine learning for GPR signal analysis

From raw radar signals to classified 3D moisture maps — how machine learning models are trained and applied to GPR data.

Machine Learning for GPR Signal Analysis
Read: ML-Enhanced GPR Analysis (PDF) →
Module 04
Advanced Hardware

Drone integration & data acquisition

Mounting GPR on drone platforms, flight planning for data coverage, and capturing synchronized radar measurements in the field.

Drone Integration & Data Acquisition
Read: Intelligent Adaptive Airborne GPR (PDF) →

Tools used in this research

The SoilX lab uses these tools for simulation, data collection, and analysis.

gprMax

Open-source software for simulating GPR using the Finite-Difference Time-Domain (FDTD) method. Used by SoilX to generate synthetic training data based on Maxwell's equations.

gprmax.com ↗

Research publications

All SoilX findings are documented in peer-reviewed journal articles and conference papers. The publications page has PDFs available for free download.

Browse publications →

Interested in joining?

If these topics interest you and you want to work on this research, the SoilX lab is open to motivated graduate and undergraduate students.

See open positions →

Key concepts

Common terms used across the SoilX research and educational materials.

GPR — Ground Penetrating Radar

A non-invasive sensing technique that uses electromagnetic pulses to image structures beneath the surface. SoilX uses it to map root-zone soil moisture.

FDTD — Finite-Difference Time-Domain

A numerical method for solving Maxwell's equations that simulates how electromagnetic waves travel through materials. Used in gprMax to generate synthetic GPR data.

Soil Water Content (SWC)

The volumetric fraction of water in a soil sample. The primary quantity SoilX's drone-borne GPR system is designed to estimate across large agricultural fields.

A-scan / B-scan

An A-scan is a single GPR trace at one point — amplitude vs. time. A B-scan is a 2D cross-section built by collecting many A-scans along a line of travel.

Dielectric permittivity

A property of materials describing how they respond to an electric field. Water has a much higher permittivity than dry soil, which is how GPR detects moisture.

Root zone

The subsurface region (typically the top 1–3 ft) where plant roots grow and where water availability directly determines crop health and irrigation needs.