Crop Recommender
Discover the most suitable crops for your soil conditions using smart machine learning recommendations
K-Nearest NeighborsAccuracy: 85.42%F1 Score: 0.85
Soil Analysis Parameters
Enter your soil test results to get personalized crop recommendations
📖 How It Works
Our crop recommender uses K-Nearest Neighbors (KNN) with k=5 neighbors—an instance-based machine learning algorithm that compares your soil's characteristics with 800 successful Philippine farm samples to recommend the most suitable crops based on similarity matching.
🧪 Soil Analysis Factors:
- 🧪pH Level: Determines nutrient availability and crop compatibility
- 🌱Nitrogen (N): Essential for leafy growth and protein synthesis
- 🌾Phosphorus (P): Critical for root development and flowering
- 💪Potassium (K): Strengthens disease resistance and overall health
- 💧Moisture & Temperature: Regional climate suitability
🌾 Recommended Crops (6 Major Philippine Crops):
🍌 Banana🥥 Coconut🌽 Corn🥭 Mango🌾 Rice🎋 Sugarcane
📊 Model Performance:
Accuracy
85.42%
Very Good
F1 Score
0.85
Balanced
✓ Trained on 800 Philippine soil-crop samples
✓ Uses k=5 nearest neighbors for stable predictions
✓ Provides alternative crop suggestions with confidence scores