Precision Farming, Soil Monitoring, and Crop Disease Detection

Module: Sustainable Tech | Difficulty: Premium

Soil Moisture Dynamics

Crop Water Stress Index

Comparison

Python Implementation

import numpy as np

class SmartAgricultureSystem:
    def soil_moisture_forecast(self, current, weather, crop_coeff):
        et = 5.0 * weather['temperature'] / 25 * crop_coeff
        return np.clip(current + weather['precipitation'] * 0.01 - et * 0.01, 0.1, 0.9)

    def irrigation_scheduling(self, soil_data, crop_stage):
        targets = {'seedling': 0.7, 'vegetative': 0.6, 'flowering': 0.65, 'fruiting': 0.55}
        target = targets.get(crop_stage, 0.6)
        current = soil_data['moisture']
        if current < target - 0.1:
            return {'irrigate': True, 'amount': (target - current) * 1000}
        return {'irrigate': False}

Research Insight: Hyperspectral imaging detects crop nutrient deficiencies 2-3 weeks before visual symptoms.