agriforest-crops

Extended, dependency-free crop knowledge library for the Agri-Forest project.

Key Features

• 20+ built‑in crop profiles (water need, diseases, NDVI demo range, fertilizer hint).
• Generic fallback for unknown crops.
• Runtime extension: add_crop(name, info_dict)
• Bulk loading from JSON: load_crops_from_json(path)
• Partial/fuzzy search: find_crops("whea") -> ["wheat"]
• Irrigation suggestion: suggest_irrigation(name, recent_rain_mm)
• Weekly water plan from daily rain: get_water_plan(name, [...])
• Growing Degree Days: compute_gdd(base_temp, daily_temps)
• Pure Python only (no third-party dependencies).

Quick Usage

from agriforest_crops import get_or_generic, suggest_irrigation, find_crops

print(find_crops("gra"))              # ['grape']
info = get_or_generic("wheat")
print(info["fertilizer_hint"])

irrigation = suggest_irrigation("wheat", recent_rain_mm=12)
print(irrigation["recommended_irrigation_mm"])

Install (after publishing)

pip install agriforest-crops

Extend At Runtime

from agriforest_crops import add_crop
add_crop("supercrop", {
  "description": "Experimental high-yield crop",
  "water_need_mm_per_week": 33
})

Data Disclaimer

Values are heuristic educational placeholders. Calibrate with local agronomy data for production use.

License

MIT