MultiAgenticAI / fertilizer_optimizer.py
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import sqlite3
class FertilizerOptimizer:
def __init__(self, db_path="database/sustainable_farming.db"):
self.db_path = db_path
def calculate_fertilizer(self, land_size, soil_type, crop_type):
"""Calculate optimal fertilizer amounts with sustainability adjustments."""
# Base fertilizer needs (kg/ha) - adjust based on research or data
fertilizer_needs = {
"nitrogen": {
"loamy": {"wheat": 60, "corn": 80, "rice": 70, "soybeans": 30, "tomatoes": 50, "carrots": 40},
"sandy": {"wheat": 70, "corn": 90, "rice": 80, "soybeans": 35, "tomatoes": 60, "carrots": 45},
"clay": {"wheat": 50, "corn": 70, "rice": 60, "soybeans": 25, "tomatoes": 40, "carrots": 35}
},
"phosphorus": {
"loamy": {"wheat": 30, "corn": 40, "rice": 35, "soybeans": 15, "tomatoes": 30, "carrots": 25},
"sandy": {"wheat": 35, "corn": 45, "rice": 40, "soybeans": 20, "tomatoes": 35, "carrots": 30},
"clay": {"wheat": 25, "corn": 35, "rice": 30, "soybeans": 10, "tomatoes": 25, "carrots": 20}
},
"potassium": {
"loamy": {"wheat": 50, "corn": 60, "rice": 55, "soybeans": 20, "tomatoes": 50, "carrots": 40},
"sandy": {"wheat": 55, "corn": 65, "rice": 60, "soybeans": 25, "tomatoes": 55, "carrots": 45},
"clay": {"wheat": 45, "corn": 55, "rice": 50, "soybeans": 15, "tomatoes": 45, "carrots": 35}
}
}
crop = crop_type.lower()
soil = soil_type.lower()
sustainability_factor = 0.85 # Reduce by 15% for sustainability
nitrogen = fertilizer_needs["nitrogen"].get(soil, {}).get(crop, 50) * land_size * sustainability_factor
phosphorus = fertilizer_needs["phosphorus"].get(soil, {}).get(crop, 30) * land_size * sustainability_factor
potassium = fertilizer_needs["potassium"].get(soil, {}).get(crop, 50) * land_size * sustainability_factor
return {
"nitrogen_kg": round(nitrogen, 2),
"phosphorus_kg": round(phosphorus, 2),
"potassium_kg": round(potassium, 2)
}