The Simple Algorithm for Yield Estimation (SAFY) model is a basic approach used in agriculture to estimate crop yield based on various factors such as weather conditions, soil type, and crop type. Below is a simple implementation of the SAFY model in Python for data simulation:
import numpy as np
def SAFY_model(temperature, rainfall, soil_type):
"""
Simple Algorithm for Yield Estimation (SAFY) model
Args:
- temperature: average temperature (in Celsius)
- rainfall: total rainfall (in mm)
- soil_type: a string representing soil type (e.g., 'clay', 'silt', 'sand')
Returns:
- estimated_yield: estimated crop yield (in tons per hectare)
"""
# Constants for yield estimation
clay_params = {'a': 0.3, 'b': 0.5, 'c': 0.7}
silt_params = {'a': 0.4, 'b': 0.6, 'c': 0.8}
sand_params = {'a': 0.5, 'b': 0.7, 'c': 0.9}
if soil_type == 'clay':
params = clay_params
elif soil_type == 'silt':
params = silt_params
elif soil_type == 'sand':
params = sand_params
else:
raise ValueError("Invalid soil type")
# Yield estimation formula
estimated_yield = params['a'] * temperature + params['b'] * rainfall + params['c']
return estimated_yield
# Example usage
temperature = 25 # Celsius
rainfall = 1000 # mm
soil_type = 'clay'
estimated_yield = SAFY_model(temperature, rainfall, soil_type)
print("Estimated yield:", estimated_yield, "tons per hectare")
This code defines a function SAFY_model() that takes in average temperature, total rainfall, and soil type as input parameters and returns the estimated crop yield. The model uses different parameters based on the soil type provided. The estimated yield is calculated using a simple formula based on the input parameters.
You can adjust the parameters and formula according to the specifics of your application and the actual SAFY model you're implementing. Additionally, you may want to incorporate more sophisticated algorithms or data sources for a more accurate estimation.
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