Extended crop info and irrigation suggestion library for Agri-Forest.
Project description
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
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