Soil Moisture AI Expert (MPhil Research)
An AI expert system for soil moisture management, developed as part of my MPhil research in digital soil mapping and soil water retention.
Hi, my name is
Isuru Kasthuri Arachchi
Probationary Lecturer at the Department of Soil Science, Faculty of Agriculture, University of Peradeniya
Soil scientist and lecturer working at the intersection of soil sensing, precision agriculture and data science — using sensors, geospatial data, physics-informed neural networks and machine learning to better understand and manage the soil.
MPhilSoil Science · ongoing
MScData Science · distinction
BScAgriculture Technology & Mgt
1peer-reviewed publication
At the intersection of soil & data
I'm a probationary lecturer in the Department of Soil Science, Faculty of Agriculture, University of Peradeniya. My teaching and research span soil sensing, precision soil management, remote sensing and digital soil mapping — turning soil and geospatial data into practical tools and insight.
Alongside this, I build practical data and web tools that support research, teaching and day-to-day work in the faculty.
More about meCurrent focus: digital soil mapping, physics-informed neural networks for soil water retention, and precision soil management — within the Department of Soil Science, Faculty of Agriculture, University of Peradeniya.
Methods & tools
Python
TensorFlow
Keras
TensorFlow Lite
Scikit-Learn
SHAP
Qdrant
OpenCV
HTML
CSS
JavaScript
TypeScript
React
Vue.js
Svelte / SvelteKit
Alpine.js
HTMX
Zustand
Redux Toolkit
Tailwind CSS
Bootstrap
Laravel
Livewire
Inertia.js
CodeIgniter
Pest PHP
FastAPI
Flask
Node.js
Vite
Hugo
Joomla
WordPress
Flutter
Riverpod
React Native / Expo
QGIS
ArcGIS
Google Earth Engine
Leaflet.js
PostGIS
NumPy
Pandas
Matplotlib
Seaborn
R
Jamovi
SPSS
Power BI
VBA
MySQL
PostgreSQL
MongoDB
SQLite
Docker
Nginx
Linux
Bash
CloudPanel
Git
PyGame
Ct.js
Pixi.js
GIMP
Inkscape
Affinity
SketchUp
Arduino
ESP32
Google Apps Script
Selected projects
Teacher and Course Evaluation System for Faculty of Agriculture
A web-based system for evaluating teachers and courses at the Faculty of Agriculture, University of Peradeniya.
Papyrus — Quiz Management System for Department of Soil Science
A real-time quiz and polling platform with Mentimeter and Kahoot-style features — live questions, leaderboards and instant results — for the Department of Soil Science, Faculty of Agriculture.
Digital Intelligence for Coconut Plantations (Primary Investigator, Ongoing)
Co-authored a research proposal for a digital intelligence platform integrating Google Earth Engine, physics-informed neural networks and a Gemini-powered RAG pipeline.
Data Collection Application
A data collection web application for the Faculty of Agriculture, University of Peradeniya. It collects research and departmental data into a database, and can generate Excel reports on demand.
Website for DND International Co. Ltd
A professional website showcasing imported vehicles from Japan, with vehicle listings, customer inquiries and wishlist management. Admins can manage inventory and customer interactions.
Research publications
- Kasthuri Arachchi, K. A. I. L. (2026). Machine learning prediction of soil cation exchange capacity in tropical soils [Extended abstract]. Postgraduate Institute of Agriculture Annual Congress.
- Gamage, D. N. V., Peiris, T., Kasthuriarachchi, I., Mohotti, K. M., & Biswas, A. (n.d.). Enhancing soil resilience to climate change: Long-term effects of organic amendments on soil thermal and physical properties in tea-cultivated Ultisols. Available online
Blog articles
Predicting soil temperature dynamics with deep learning
How I used neural networks to model how soil heats and cools over time — and why that matters for crops.
Building a soil moisture sensor with Arduino
From bare sensor to a calibrated, mobile-connected device for my BSc research.
Let's work together
Have a question, a collaboration idea, or just want to get in touch? My inbox is always open.
Get in touch