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Yield Prediction from Sensor Data

📈 Yield Prediction Model

📊 What You'll Learn:

📈 Use soil moisture data to predict crop yields
🧮 Apply the yield prediction formula to your farm
💰 Forecast revenue before harvest
🌱 Optimize watering for maximum yield

📊 The Yield Prediction Formula

Yield = Base + (Sensitivity × Moisture%)

📌 Base Yield: Minimum yield when soil is too dry
📌 Sensitivity: How much yield increases per 1% moisture
📌 Moisture%: Your actual soil moisture reading (0-100%)

🍅 Example: Tomatoes

Tomato Yield Formula:

Yield (kg/plant) = 2.5 + (0.08 × Moisture%)

🌱 At 45% moisture:
2.5 + (0.08 × 45) = 2.5 + 3.6 = 6.1 kg/plant
🌿 At 65% moisture (optimal):
2.5 + (0.08 × 65) = 2.5 + 5.2 = 7.7 kg/plant
⚠️ At 25% moisture (dry):
2.5 + (0.08 × 25) = 2.5 + 2.0 = 4.5 kg/plant (41% lower yield!)

💡 Understanding the Numbers:

Each 10% increase in soil moisture adds 0.8 kg per tomato plant. With 10,000 plants, that's 8,000 kg more tomatoes!

📈 Farm-Level Forecast

🌾 10,000 Tomato Plants at 65% Moisture:

Per plant yield: 7.7 kg
Total yield: 7.7 kg × 10,000 = 77,000 kg
Expected revenue (at $0.50/kg): $38,500

📊 Case Study — Yield Prediction Saves Farm, Nigeria:

A tomato farmer used the yield prediction model to make irrigation decisions:

📊 Predicted yield at current moisture (45%): 6.1 kg/plant → 61,000 kg total
💧 Increased watering to optimal (65%): 7.7 kg/plant → 77,000 kg total
📈 Extra yield: 16,000 kg more tomatoes
💰 Extra revenue: $8,000 at market prices
💧 Extra water cost: Only $200
✅ Net profit increase: $7,800!

"The prediction model showed me exactly how much more money I was losing by underwatering. I invested in better irrigation and doubled my profit!" — Farmer, Kaduna State

🌽 Yield Formulas for Common African Crops

🍅 Tomatoes
Yield (kg/plant) = 2.5 + (0.08 × Moisture%)
Optimal: 60-70% moisture
🌽 Maize (Corn)
Yield (kg/plant) = 0.15 + (0.005 × Moisture%)
Optimal: 50-65% moisture
🥬 Cabbage / Leafy Greens
Yield (kg/plant) = 0.8 + (0.03 × Moisture%)
Optimal: 65-75% moisture
🌶️ Bell Peppers
Yield (kg/plant) = 0.8 + (0.025 × Moisture%)
Optimal: 55-70% moisture

💡 How to Find Your Farm's Formula:

Step 1: Track moisture % for 2-3 months
Step 2: Record final yield per plant
Step 3: Use Excel to find the relationship
Step 4: Create YOUR personalized formula!

⚠️ Important Limitations:

Formula assumes all other factors are optimal (fertilizer, sunlight, pest control)
Too much water (>80%) reduces yield due to root rot
Different soil types (sandy vs clay) need different formulas
Always validate predictions with actual harvest weights

📊 Excel/Google Sheets Formula:

// For tomatoes: Yield = 2.5 + (0.08 * Moisture%)
// In Excel cell: =2.5+(0.08*A1)  where A1 = moisture%

Example spreadsheet:
A1 = 65 (moisture %)
B1 = =2.5+(0.08*A1)  → 7.7 kg/plant
C1 = B1 * 10000      → 77,000 kg total
D1 = C1 * 0.5        → $38,500 revenue

🎯 Key Takeaways:

✅ Yield = Base + (Sensitivity × Moisture%) — simple formula for prediction
✅ Tomatoes: Each 10% moisture adds 0.8 kg/plant → 8,000 kg more per 10,000 plants
✅ At 65% moisture, 10,000 tomato plants produce 77,000 kg → $38,500 revenue
✅ Increasing from 45% to 65% moisture added $7,800 profit in Nigerian case study
✅ Use the formulas above for common crops, or create YOUR OWN by tracking data
✅ Always validate — formulas are tools, not guarantees

💡 Key Takeaways:

Apply these concepts directly to your farm or project.
Take notes on important details for the quiz.
Use the button below to track your progress.

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