Assess crop maturity, estimate yield, and determine optimal harvest timing.
import pandas as pd
from datetime import datetime
def readiness_score(field_id):
crop = pd.read_sql("SELECT * FROM crop_status WHERE field_id = ?", field_id)
days_planted = (datetime.now() - crop['planting_date']).days
maturity = crop['maturity_days']
ratio = days_planted / maturity
if ratio >= 1.0: return 100, 'Ready'
elif ratio >= 0.85: return 80, 'Almost Ready'
elif ratio >= 0.7: return 60, 'Maturing'
else: return 30, 'Growing'Basic Package
Special SME traction programme by AINNA.
Limited starter website offer. AI usage, hosting, maintenance and custom integrations depend on the confirmed scope.
View SME Offer β
Ask about AINNA pages, services and articles.
AINNA website sources only Β· answers up to 5 lines
No section data available yet.
Sites with documented sections will appear here.
We value your privacy
We use browser storage to remember your choice. Optional analytics runs only after you allow it; your choice is recorded with an anonymous ID. Privacy Policy