Deep Grain - Agricultural Assessment

Project Overview

Conducted comprehensive agricultural land assessment in Ecuador's North Esmeraldas and Guayas/El Oro regions. The project combined geotagged field photography with satellite imagery analysis to evaluate crop suitability and yield potential for investment decisions.

Field data collection involved systematic documentation of soil conditions, existing crops, infrastructure, and terrain characteristics across multiple properties.

Investment-grade agricultural assessment supporting land acquisition decisions with verified field conditions and spatial context.

Key Metrics

2

Regions Assessed

100+

Geotagged Photos

3

Data Layers Integrated

Technical Approach

Field Data Collection

Systematic geotagged photography with custom mobile app
Soil condition documentation and sampling points
Infrastructure and access road assessment
Existing crop inventory and health evaluation

Spatial Analysis

Satellite imagery processing for land cover classification
Terrain analysis using DEM data
Climate data integration for crop suitability modeling

Technologies Used

QGIS Python GeoPandas Satellite Imagery Mobile GIS DEM Analysis

Deliverables

Geotagged photo documentation with coordinate database
Land suitability maps for target crops
QGIS project with integrated field and satellite data
Assessment report with investment recommendations