Transforming farming through geospatial analysis, precision agriculture, and data-driven insights. Building the future where technology serves the land.
uniform emergence across the field
field achieving peak bloom timing
Bridging the gap between agricultural expertise and cutting-edge technology to solve real farming challenges.
Deep understanding of farming operations, crop management, and the practical challenges farmers face in modern agriculture.
Currently developing skills in Python, geospatial analysis, and precision agriculture technologies through a comprehensive 28-week curriculum.
To create technology solutions that truly serve agriculture by understanding both the technical possibilities and practical farming realities.
Olds College of Agriculture & Technology
Olds, Alberta, Canada
Agricultural Equipment Data & Satellite Imagery & Learning New Skills
Following a comprehensive 28-week curriculum to master agricultural technology. From Python basics to advanced geospatial analysis and precision farming applications.
Python fundamentals, GeoPandas, and coordinate systems. Building agricultural spatial analysis capabilities.
Building professional agricultural technology portfolio website and establishing development environment for the 28-week geospatial programming journey ahead.
Master pandas operations for tabular data and learn GeoPandas for spatial data manipulation using real agricultural field data.
Transforming agricultural challenges into technology solutions. Each project bridges the gap between farming expertise and technical innovation.
Interactive dashboard combining NDVI satellite data, soil moisture sensors, and weather patterns to provide farmers with actionable insights for precision agriculture decisions.
PostGIS-powered database storing field boundaries, management zones, and application records. Supports complex spatial queries for yield optimization analysis.
Google Earth Engine pipeline that automatically downloads satellite imagery, calculates vegetation indices, and alerts farmers to potential crop stress areas.
Documenting insights, challenges, and breakthroughs as I bridge the gap between agricultural expertise and technology innovation.
Starting my 28-week agricultural programming journey with portfolio development. Lessons learned about balancing technical implementation with agricultural storytelling and the challenges of creating a professional web presence that truly represents both worlds...
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Exploring USDA NASS, NASA AppEEARS, and other agricultural data repositories. The wealth of information available is overwhelming but exciting for future projects. Understanding data quality, accessibility challenges, and integration opportunities...
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Step-by-step guide to setting up a Python environment for agricultural geospatial analysis. Includes GDAL installation tips, essential libraries, and common pitfalls to avoid.
Read Full Story →Whether you're a farmer facing technology challenges, a developer interested in agriculture, or someone looking to collaborate on AgTech solutions, I'd love to connect.