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SmartCane - Agricultural Intelligence Platform
A multi-stage satellite imagery processing system for crop health analysis and harvest predictions in sugarcane farming operations.
Overview
SmartCane processes 4-band satellite imagery (RGB + NIR) into actionable crop health insights using a sophisticated data pipeline spanning Python, R, and PHP. The system integrates satellite data from Planet Labs with field-level analysis, automated reporting, and harvest forecasting.
Core Features
- Weekly Satellite Monitoring: 4-band GeoTIFF imagery acquisition and processing
- Chlorophyll Index (CI) Analysis: Crop health assessment with multi-temporal smoothing
- Field-Level KPI Calculation: Uniformity metrics, gap detection, weed risk assessment
- Harvest Forecasting: ML-powered yield predictions with growth trajectory analysis
- Automated Reporting: Weekly Word/HTML reports with field-specific alerts and recommendations
Last Updated: February 2026 Maintained By: Resilience BV Repository: https://github.com/TimonWeitkamp/smartcane_experimental_area