About DASH-DIRTS
What is DASH?
Database on Alberta Soil Health (DASH) is an integrated, publicly accessible database on Alberta soil parameters. It is designed to collect, store, and analyze soil data, enhancing soil health through advanced data analytics and machine learning.
Our Vision
To improve life by empowering Alberta's sustainable agriculture through enhanced soil health.
Mission Statement
- Drive Sustainability: "To foster sustainable farming in Alberta through improved soil health data."
- Empower Farmers: "Empowering Alberta's farmers with data to enhance soil health and productivity."
- Promote Best Practices: "Promoting best soil management practices across Alberta for a greener future."
- Enhance Soil Health: "To enhance soil health in Alberta, ensuring a sustainable agricultural legacy."
DASH's Unique Features
- Comprehensive Database: A vast collection of soil data from various sources including the Soil Quality Monitoring Program (SQMP).
- Advanced Analytics: Utilizes machine learning and big data analytics to generate insights and predictions.
- User-Friendly Interface: Easy-to-use web server (DIRTS) for farmers and land managers to assess and improve soil health.
What is DIRTS?
Digital Integrated Resource Technology for Soil (DIRTS) is a web server that employs advanced data analytics and machine learning tools to provide soil health assessments, predictions, and management recommendations. It integrates with the DASH database to offer a comprehensive soil health management system.
DIRTS's Unique Features
- Predictive Analytics: Utilizes machine learning to predict soil health outcomes and the impact of soil management practices.
- Customizable Scenarios: Allows users to input farm-specific data for personalized soil health scenarios and management strategies.
- Interactive Visualizations: Provides detailed, interactive visualizations of soil data and predictions.
- Cloud-Based Access: Accessible from any device with internet connectivity, ensuring ease of use and convenience.
- Continuous Data Integration: Enhances predictions and recommendations by continuously integrating new soil data from user submissions.