Timon
458b8247be
- Fixed CI calculation: changed from NDVI (NIR-Red)/(NIR+Red) to correct NIR/Green-1 formula in: * process_single_tile() function * create_ci_band() utility function * Updated create_mask_and_crop() documentation - Renamed numbered shell scripts for clarity (matching R script numbering): * 01_run_planet_download -> 10_planet_download.sh * 02_run_ci_extraction -> 20_ci_extraction.sh * 03_run_growth_model -> 30_growth_model.sh * 04_run_mosaic_creation -> 40_mosaic_creation.sh * 09_run_calculate_kpis -> 80_calculate_kpis.sh * 10_run_kpi_report -> 90_kpi_report.sh - Archived obsolete shell scripts to old_sh/: * build_mosaic.sh, build_report.sh, interpolate_growth_model.sh * 05_run_dashboard_report.sh, 06_run_crop_messaging.sh * 11_run_yield_prediction.sh/ps1 * runcane.sh, runpython.sh, smartcane.sh, update_RDS.sh - Deleted test/debug files and temporary outputs: * analyze_*.R, benchmark_gpu_vs_cpu.py, convert_angata_harvest.py * debug_mosaic.R, examine_kpi_results.R, generate_sar_report.R * inspect_8band_structure.R, inspect_tif_bands.R * old_working_utils.R, predict_harvest_operational.R * run_kpi_calculation.R, run_report.R, simple_sar_test.R * data_validation_tool/, harvest_ci_pattern_analysis.png, kpi_debug.out - Enhanced harvest prediction: Added threshold tuning (0.40-0.45) and field type handling - Enhanced mosaic creation: Improved tile detection and routing logic
27 lines
956 B
Bash
Executable file
27 lines
956 B
Bash
Executable file
#!/bin/bash
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output_file=${1:-"standaard_naam.html"}
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ref=${2:-"word-styles-reference-03.docx"}
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# Directory waar de virtuele omgeving zal worden aangemaakt
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#VENV_DIR="./python_app/myenv"
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# Activeer de virtuele omgeving
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#source "$VENV_DIR/bin/activate"
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# Hier kan je verdere stappen toevoegen, zoals het uitvoeren van je Python-script of Jupyter Notebook
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#jupyter nbconvert --execute --to script --stdout python_app/Chemba_download.ipynb
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# Deactiveer de virtuele omgeving (optioneel)
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#deactivate
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## Runnen van R scripts
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# Kopieer de excel file met harvesting data en maak directory aan indien nodig
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cd r_app
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#Rscript 1_harvest_data_EcoFarm_v2.R
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Rscript 2_CI_data_prep.R
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#
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## Runnen van Rmd bestand
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# -e betekent "evalueren" en -i specificeert de input file
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#Rscript -e "rmarkdown::render('CI_report_dashboard_planet.Rmd', 'all')"
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Rscript -e "rmarkdown::render('CI_report_dashboard_planet.Rmd', output_file='$output_file', params=list(ref='$ref'))"
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cd ..
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