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README.md

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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

r_app/90_CI_report_with_kpis_simple.Rmd

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 ft
 ```
 
-*This report was automatically generated by the SmartCane monitoring system. For questions or additional analysis, please contact the technical team.*
-```
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+*This report was automatically generated by the SmartCane monitoring system. For questions or additional analysis, please contact the technical team.*