Initial commit: Smart Fertilizer Recommender API with LFS

.gitattributes

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+*.pkl filter=lfs diff=lfs merge=lfs -text

Dockerfile

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+FROM python:3.9-slim
+
+WORKDIR /app
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy all files
+COPY . .
+
+# Expose the port
+EXPOSE 7860
+
+# Command to run the FastAPI app
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

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+---
+title: Smart Fertilizer Recommender API
+emoji: 🌾
+colorFrom: green  
+colorTo: blue
+sdk: docker
+pinned: false
+license: mit
+short_description: AI-powered fertilizer recommendations for crops
+---
+
+# 🌾 Smart Fertilizer Recommender API
+
+A FastAPI-based REST API that provides intelligent fertilizer recommendations using a Random Forest machine learning model. The system analyzes soil nutrient parameters and crop type to suggest the most suitable fertilizer.
+
+## 🚀 Features
+
+- **Intelligent Recommendations**: ML-powered fertilizer suggestions based on soil analysis
+- **Multi-Crop Support**: Recommendations for various crop types
+- **Confidence Scoring**: Each recommendation comes with a confidence percentage
+- **Input Validation**: Automatic validation of soil parameter ranges
+- **Batch Processing**: Process multiple soil samples at once
+- **Interactive Documentation**: Built-in Swagger UI for easy testing
+
+## 🔬 Model Information
+
+- **Algorithm**: Random Forest Classifier
+- **Features**: Nitrogen %, Phosphorus (Olsen) ppm, Potassium meq%, Soil pH, Crop Type
+- **Training Accuracy**: ~95%+
+- **Cross-Validation**: 5-fold CV for robust evaluation
+
+## 📊 API Endpoints
+
+### Core Endpoints
+
+- `GET /` - Welcome message and API information
+- `GET /health` - Health check endpoint
+- `GET /model-info` - Model performance metrics and details
+- `GET /crops` - List of supported crops
+- `GET /fertilizers` - List of available fertilizers
+
+### Prediction Endpoints
+
+- `POST /predict` - Single fertilizer recommendation
+- `POST /batch-predict` - Batch processing for multiple samples
+
+### Utility Endpoints
+
+- `GET /docs` - Interactive Swagger documentation
+- `GET /redoc` - Alternative API documentation
+- `GET /debug/files` - Debug information
+
+## 🔧 Usage Examples
+
+### Single Prediction
+
+```python
+import requests
+
+# API endpoint
+url = "https://OwinoGoddy.hf.space/predict"
+
+# Soil parameters
+data = {
+    "nitrogen_percent": 0.08,
+    "phosphorus_ppm": 23.0,
+    "soil_ph": 5.76,
+    "potassium_meq_percent": 1.36,
+    "crop": "maize"
+}
+
+# Make prediction
+response = requests.post(url, json=data)
+result = response.json()
+
+print(f"Recommended Fertilizer: {result['primary_recommendation']}")
+print(f"Confidence: {result['confidence']}%")
+Response Example
+json{
+  "primary_recommendation": "NPK 20-10-10",
+  "confidence": 87.5,
+  "all_recommendations": [
+    {
+      "fertilizer": "NPK 20-10-10",
+      "confidence": 87.5
+    },
+    {
+      "fertilizer": "DAP",
+      "confidence": 8.2
+    },
+    {
+      "fertilizer": "Urea",
+      "confidence": 3.1
+    }
+  ],
+  "input_parameters": {
+    "nitrogen_percent": 0.08,
+    "phosphorus_ppm": 23.0,
+    "soil_ph": 5.76,
+    "potassium_meq_percent": 1.36,
+    "crop": "maize"
+  },
+  "validation_warnings": []
+}
+📝 Input Parameters
+ParameterTypeRangeDescriptionnitrogen_percentfloat0-5%Total Nitrogen percentagephosphorus_ppmfloat0-200 ppmPhosphorus Olsen in ppmsoil_phfloat3-10Soil pH levelpotassium_meq_percentfloat0-10%Potassium in meq%cropstring-Crop name (see /crops endpoint)
+🌱 Supported Crops
+The system supports various crop types including:
+
+Maize
+Beans
+Wheat
+Rice
+Sorghum
+And many more...
+
+Use the /crops endpoint to get the complete list of supported crops.
+🔍 Model Validation
+The API includes automatic input validation:
+
+Range checking for all numerical parameters
+Statistical validation against training data
+Crop name validation
+Warning system for unusual values
+
+🚀 Getting Started
+
+Access the API: Visit the Hugging Face Space URL
+Interactive Testing: Use /docs for Swagger UI
+Get Crops: Check /crops for supported crop types
+Make Predictions: Send POST requests to /predict
+
+📈 Performance Metrics
+
+Accuracy: High accuracy on test data
+Speed: Fast predictions (<100ms typical)
+Reliability: Robust error handling and validation
+Scalability: Supports batch processing
+
+🛠️ Technical Stack
+
+Backend: FastAPI
+ML Framework: scikit-learn
+Model: Random Forest Classifier
+Validation: Pydantic
+Documentation: Swagger/OpenAPI
+Deployment: Docker + Hugging Face Spaces
+
+📞 Support
+For questions, issues, or feature requests, please visit the Hugging Face Space discussion tab.
+📄 License
+MIT License - feel free to use this API for your agricultural applications!
+
+Built with ❤️ for sustainable agriculture

app.py

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+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel, Field
+import pickle
+import numpy as np
+import pandas as pd
+from typing import Dict, List, Any
+import uvicorn
+import os
+import traceback
+import json
+
+# Function to list files in current directory
+def list_files():
+    """List all files in the current directory"""
+    try:
+        files = os.listdir('.')
+        print("📁 Files in current directory:")
+        for file in files:
+            file_path = os.path.join('.', file)
+            if os.path.isfile(file_path):
+                size = os.path.getsize(file_path)
+                print(f"  📄 {file} ({size} bytes)")
+            else:
+                print(f"  📁 {file}/")
+        return files
+    except Exception as e:
+        print(f"Error listing files: {e}")
+        return []
+
+# Enhanced model loading with debugging
+def load_fertilizer_model():
+    """Load the saved fertilizer recommendation model and components"""
+    print("🔄 Starting model loading...")
+    
+    # List files first
+    files = list_files()
+    
+    # Check if required files exist
+    required_files = [
+        'fertilizer_recommendation_model.pkl',
+        'fertilizer_label_encoder.pkl', 
+        'crop_label_encoder.pkl',
+        'fertilizer_model_info.pkl'
+    ]
+    
+    print(f"\n🔍 Checking for required files:")
+    for file in required_files:
+        print(f"  {file}: {'✅ Found' if file in files else '❌ Missing'}")
+    
+    try:
+        # Load model
+        with open('fertilizer_recommendation_model.pkl', 'rb') as f:
+            model = pickle.load(f)
+        print("✅ Model loaded successfully!")
+        
+        # Load fertilizer encoder
+        with open('fertilizer_label_encoder.pkl', 'rb') as f:
+            fertilizer_encoder = pickle.load(f)
+        print("✅ Fertilizer encoder loaded successfully!")
+        
+        # Load crop encoder
+        with open('crop_label_encoder.pkl', 'rb') as f:
+            crop_encoder = pickle.load(f)
+        print("✅ Crop encoder loaded successfully!")
+        
+        # Load model info
+        with open('fertilizer_model_info.pkl', 'rb') as f:
+            model_info = pickle.load(f)
+        print("✅ Model info loaded successfully!")
+        
+        # Try to load feature statistics (optional)
+        feature_stats = None
+        try:
+            with open('feature_statistics.json', 'r') as f:
+                feature_stats = json.load(f)
+            print("✅ Feature statistics loaded successfully!")
+        except:
+            print("⚠️ Feature statistics not found (optional)")
+        
+        print(f"📊 Model info: {model_info}")
+        
+        return model, fertilizer_encoder, crop_encoder, model_info, feature_stats
+        
+    except Exception as e:
+        print(f"❌ Error loading model: {e}")
+        print(f"📍 Full traceback: {traceback.format_exc()}")
+        return None, None, None, None, None
+
+# Input validation function
+def validate_input_ranges(nitrogen_percent, phosphorus_ppm, potassium_meq_percent, soil_ph, feature_stats=None):
+    """Validate if input values are within reasonable ranges"""
+    warnings = []
+    
+    # Basic range validation
+    if nitrogen_percent < 0 or nitrogen_percent > 5:
+        warnings.append(f"Nitrogen percentage {nitrogen_percent} should be between 0-5%")
+    
+    if phosphorus_ppm < 0 or phosphorus_ppm > 200:
+        warnings.append(f"Phosphorus {phosphorus_ppm}ppm should be between 0-200ppm")
+    
+    if potassium_meq_percent < 0 or potassium_meq_percent > 10:
+        warnings.append(f"Potassium {potassium_meq_percent}meq% should be between 0-10meq%")
+    
+    if soil_ph < 3 or soil_ph > 10:
+        warnings.append(f"Soil pH {soil_ph} should be between 3-10")
+    
+    # Advanced validation using training data statistics if available
+    if feature_stats:
+        try:
+            numerical_stats = feature_stats.get('numerical_features', feature_stats)
+            
+            params = {
+                'total_Nitrogen_percent': nitrogen_percent,
+                'phosphorus_Olsen_ppm': phosphorus_ppm,
+                'potassium_meq_percent': potassium_meq_percent,
+                'soil_pH': soil_ph
+            }
+            
+            for param_name, value in params.items():
+                if param_name in numerical_stats:
+                    param_stats = numerical_stats[param_name]
+                    min_val = param_stats['min']
+                    max_val = param_stats['max']
+                    mean_val = param_stats['mean']
+                    
+                    if value < min_val or value > max_val:
+                        warnings.append(f"{param_name}: {value} is outside training range [{min_val:.2f}, {max_val:.2f}]")
+        except Exception as e:
+            warnings.append(f"Could not perform advanced validation: {e}")
+    
+    return warnings
+
+# Initialize FastAPI app
+app = FastAPI(
+    title="🌾 Smart Fertilizer Recommender API",
+    description="Predict fertilizer recommendations based on soil nutrient parameters and crop type using Random Forest ML model",
+    version="1.0.0",
+    docs_url="/docs",
+    redoc_url="/redoc"
+)
+
+# Load model at startup
+print("🚀 Starting application...")
+model, fertilizer_encoder, crop_encoder, model_info, feature_stats = load_fertilizer_model()
+
+# Pydantic models for request/response
+class SoilParameters(BaseModel):
+    nitrogen_percent: float = Field(..., ge=0, le=5, description="Total Nitrogen percentage (0-5%)")
+    phosphorus_ppm: float = Field(..., ge=0, le=200, description="Phosphorus Olsen in ppm (0-200)")
+    soil_ph: float = Field(..., ge=3, le=10, description="Soil pH level (3-10)")
+    potassium_meq_percent: float = Field(..., ge=0, le=10, description="Potassium in meq% (0-10%)")
+    crop: str = Field(..., description="Crop name (e.g., 'maize', 'beans', 'wheat')")
+    
+    class Config:
+        schema_extra = {
+            "example": {
+                "nitrogen_percent": 0.08,
+                "phosphorus_ppm": 23.0,
+                "soil_ph": 5.76,
+                "potassium_meq_percent": 1.36,
+                "crop": "maize"
+            }
+        }
+
+class FertilizerRecommendation(BaseModel):
+    fertilizer: str
+    confidence: float
+
+class PredictionResponse(BaseModel):
+    primary_recommendation: str = Field(..., description="Primary fertilizer recommendation")
+    confidence: float = Field(..., description="Confidence percentage for primary recommendation")
+    all_recommendations: List[FertilizerRecommendation] = Field(..., description="Top 3 fertilizer recommendations with confidence")
+    input_parameters: Dict[str, Any] = Field(..., description="Input parameters used for prediction")
+    validation_warnings: List[str] = Field(default=[], description="Input validation warnings")
+
+class ModelInfoResponse(BaseModel):
+    model_name: str
+    model_type: str
+    train_accuracy: float
+    test_accuracy: float
+    cv_mean: float
+    cv_std: float
+    n_classes: int
+    fertilizer_classes: List[str]
+    crop_classes: List[str]
+
+# Add a debug endpoint to check files
+@app.get("/debug/files")
+async def debug_files():
+    """Debug endpoint to list all files"""
+    files = list_files()
+    return {
+        "current_directory": os.getcwd(),
+        "files": files,
+        "model_loaded": model is not None,
+        "fertilizer_encoder_loaded": fertilizer_encoder is not None,
+        "crop_encoder_loaded": crop_encoder is not None,
+        "model_info_loaded": model_info is not None,
+        "feature_stats_loaded": feature_stats is not None
+    }
+
+# API Endpoints
+@app.get("/")
+async def root():
+    """Welcome message and API information"""
+    return {
+        "message": "🌾 Smart Fertilizer Recommender API",
+        "description": "Use /predict endpoint to get fertilizer recommendations based on soil parameters and crop type",
+        "model": model_info['model_name'] if model_info else "Model not loaded",
+        "model_loaded": model is not None,
+        "available_crops": crop_encoder.classes_.tolist() if crop_encoder else [],
+        "available_fertilizers": len(fertilizer_encoder.classes_) if fertilizer_encoder else 0,
+        "docs": "Visit /docs for interactive API documentation",
+        "debug": "Visit /debug/files to see available files"
+    }
+
+@app.get("/health")
+async def health_check():
+    """Enhanced health check endpoint"""
+    return {
+        "status": "healthy",
+        "model_loaded": model is not None,
+        "encoders_loaded": fertilizer_encoder is not None and crop_encoder is not None,
+        "model_info_loaded": model_info is not None,
+        "current_directory": os.getcwd(),
+        "files_count": len(os.listdir('.')) if os.path.exists('.') else 0
+    }
+
+@app.get("/model-info", response_model=ModelInfoResponse)
+async def get_model_info():
+    """Get information about the trained model"""
+    if model_info is None:
+        raise HTTPException(status_code=500, detail="Model information not available")
+    
+    return ModelInfoResponse(**model_info)
+
+@app.get("/crops")
+async def get_available_crops():
+    """Get list of available crops"""
+    if crop_encoder is None:
+        raise HTTPException(status_code=500, detail="Crop encoder not loaded")
+    
+    return {
+        "available_crops": crop_encoder.classes_.tolist(),
+        "total_crops": len(crop_encoder.classes_)
+    }
+
+@app.get("/fertilizers")
+async def get_available_fertilizers():
+    """Get list of available fertilizers"""
+    if fertilizer_encoder is None:
+        raise HTTPException(status_code=500, detail="Fertilizer encoder not loaded")
+    
+    return {
+        "available_fertilizers": fertilizer_encoder.classes_.tolist(),
+        "total_fertilizers": len(fertilizer_encoder.classes_)
+    }
+
+@app.post("/predict", response_model=PredictionResponse)
+async def predict_fertilizer(soil_params: SoilParameters):
+    """
+    Predict fertilizer recommendation based on soil parameters and crop type
+    
+    - **nitrogen_percent**: Total Nitrogen percentage (0-5%)
+    - **phosphorus_ppm**: Phosphorus Olsen in ppm (0-200)
+    - **soil_ph**: Soil pH level (3-10)
+    - **potassium_meq_percent**: Potassium in meq% (0-10%)
+    - **crop**: Crop name (use /crops endpoint to see available options)
+    
+    Returns fertilizer recommendation with confidence scores
+    """
+    if model is None or fertilizer_encoder is None or crop_encoder is None:
+        raise HTTPException(
+            status_code=500, 
+            detail={
+                "error": "Model components not loaded",
+                "debug_info": {
+                    "model_loaded": model is not None,
+                    "fertilizer_encoder_loaded": fertilizer_encoder is not None,
+                    "crop_encoder_loaded": crop_encoder is not None,
+                    "files_in_directory": os.listdir('.') if os.path.exists('.') else []
+                }
+            }
+        )
+    
+    try:
+        # Validate input ranges
+        validation_warnings = validate_input_ranges(
+            soil_params.nitrogen_percent, 
+            soil_params.phosphorus_ppm,
+            soil_params.potassium_meq_percent, 
+            soil_params.soil_ph,
+            feature_stats
+        )
+        
+        # Validate crop name
+        if soil_params.crop not in crop_encoder.classes_:
+            available_crops = crop_encoder.classes_.tolist()
+            raise HTTPException(
+                status_code=400, 
+                detail=f"Unknown crop '{soil_params.crop}'. Available crops: {available_crops}"
+            )
+        
+        # Encode crop
+        crop_encoded = crop_encoder.transform([soil_params.crop])[0]
+        
+        # Prepare input data (5 features: N, P, K, pH, crop_encoded)
+        input_data = np.array([[
+            soil_params.nitrogen_percent,
+            soil_params.phosphorus_ppm,
+            soil_params.potassium_meq_percent,
+            soil_params.soil_ph,
+            crop_encoded
+        ]])
+        
+        # Make prediction
+        prediction_encoded = model.predict(input_data)[0]
+        prediction_proba = model.predict_proba(input_data)[0]
+        
+        # Decode primary prediction
+        predicted_fertilizer = fertilizer_encoder.inverse_transform([prediction_encoded])[0]
+        
+        # Get top 3 recommendations with probabilities
+        top_indices = np.argsort(prediction_proba)[::-1][:3]
+        recommendations = []
+        
+        for idx in top_indices:
+            fertilizer_name = fertilizer_encoder.inverse_transform([idx])[0]
+            confidence = prediction_proba[idx] * 100
+            recommendations.append(FertilizerRecommendation(
+                fertilizer=fertilizer_name,
+                confidence=round(confidence, 2)
+            ))
+        
+        # Prepare response
+        response = PredictionResponse(
+            primary_recommendation=predicted_fertilizer,
+            confidence=round(max(prediction_proba) * 100, 2),
+            all_recommendations=recommendations,
+            input_parameters={
+                "nitrogen_percent": soil_params.nitrogen_percent,
+                "phosphorus_ppm": soil_params.phosphorus_ppm,
+                "soil_ph": soil_params.soil_ph,
+                "potassium_meq_percent": soil_params.potassium_meq_percent,
+                "crop": soil_params.crop
+            },
+            validation_warnings=validation_warnings
+        )
+        
+        return response
+        
+    except HTTPException:
+        raise
+    except Exception as e:
+        print(f"Prediction error: {e}")
+        print(f"Traceback: {traceback.format_exc()}")
+        raise HTTPException(status_code=400, detail=f"Prediction error: {str(e)}")
+
+@app.post("/batch-predict")
+async def batch_predict(soil_samples: List[SoilParameters]):
+    """
+    Predict fertilizer recommendations for multiple soil samples
+    """
+    if model is None or fertilizer_encoder is None or crop_encoder is None:
+        raise HTTPException(status_code=500, detail="Model components not loaded")
+    
+    if len(soil_samples) > 50:
+        raise HTTPException(status_code=400, detail="Maximum 50 samples allowed per batch")
+    
+    try:
+        predictions = []
+        
+        for i, sample in enumerate(soil_samples):
+            try:
+                # Validate crop
+                if sample.crop not in crop_encoder.classes_:
+                    predictions.append({
+                        "sample_id": i + 1,
+                        "error": f"Unknown crop '{sample.crop}'"
+                    })
+                    continue
+                
+                # Encode crop
+                crop_encoded = crop_encoder.transform([sample.crop])[0]
+                
+                # Prepare input data
+                input_data = np.array([[
+                    sample.nitrogen_percent,
+                    sample.phosphorus_ppm, 
+                    sample.potassium_meq_percent,
+                    sample.soil_ph,
+                    crop_encoded
+                ]])
+                
+                # Make prediction
+                prediction_encoded = model.predict(input_data)[0]
+                prediction_proba = model.predict_proba(input_data)[0]
+                predicted_fertilizer = fertilizer_encoder.inverse_transform([prediction_encoded])[0]
+                
+                predictions.append({
+                    "sample_id": i + 1,
+                    "primary_recommendation": predicted_fertilizer,
+                    "confidence": round(max(prediction_proba) * 100, 2),
+                    "input_parameters": {
+                        "nitrogen_percent": sample.nitrogen_percent,
+                        "phosphorus_ppm": sample.phosphorus_ppm,
+                        "soil_ph": sample.soil_ph,
+                        "potassium_meq_percent": sample.potassium_meq_percent,
+                        "crop": sample.crop
+                    }
+                })
+                
+            except Exception as e:
+                predictions.append({
+                    "sample_id": i + 1,
+                    "error": str(e)
+                })
+        
+        return {
+            "total_samples": len(soil_samples),
+            "predictions": predictions
+        }
+        
+    except Exception as e:
+        print(f"Batch prediction error: {e}")
+        print(f"Traceback: {traceback.format_exc()}")
+        raise HTTPException(status_code=400, detail=f"Batch prediction error: {str(e)}")
+
+# Run the app
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=7860)

crop_label_encoder.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5e2f893ca58680430b05f9f944cd220ad09789529e7dfe5c576b938b7e714c65
+size 10407

feature_statistics.json

@@ -0,0 +1,1578 @@
+{
+  "numerical_features": {
+    "total_Nitrogen_percent": {
+      "min": 0.007,
+      "max": 2900.0,
+      "mean": 0.18904671180652077,
+      "std": 9.139741922203353
+    },
+    "phosphorus_Olsen_ppm": {
+      "min": 0.05,
+      "max": 624.0,
+      "mean": 37.88330509147977,
+      "std": 48.696615999686664
+    },
+    "potassium_meq_percent": {
+      "min": 0.01,
+      "max": 663.0,
+      "mean": 0.8769637822167508,
+      "std": 3.744598593287137
+    },
+    "soil_pH": {
+      "min": 3.0,
+      "max": 11.2,
+      "mean": 6.069050751284503,
+      "std": 1.0056002808644966
+    }
+  },
+  "categorical_features": {
+    "crop": {
+      "unique_crops": [
+        "cotton",
+        "Maize",
+        "Cotton",
+        "chickpea",
+        "grams",
+        "Cow peas",
+        "maize",
+        "melons",
+        "Tomato",
+        "onion",
+        "cabbage",
+        "Capsicum",
+        "carrot",
+        "kale",
+        "beans",
+        "Fruit trees",
+        "tomato",
+        "fruit trees",
+        "Rice",
+        "butternut",
+        "vegetables",
+        "Passion fruits",
+        "green gram",
+        "Grass",
+        "Onion",
+        "garlic",
+        "Mango",
+        "Melons",
+        "pepper",
+        "groundnut",
+        "millet",
+        "citrus",
+        "pawpaw",
+        "Kale",
+        "mango",
+        "Cabbage",
+        "Peas",
+        "potato",
+        "peas",
+        "macadamia",
+        "Beans",
+        "passion fruits",
+        "sorghum",
+        "Carrot",
+        "finger millet",
+        "coffee",
+        "Potato",
+        "avocado",
+        "strawberry",
+        "black night shade",
+        "pasture",
+        "spinach",
+        "cowpea",
+        "napier grass",
+        "banana",
+        "Sorghum",
+        "French beans",
+        "ginger",
+        "Horticultural",
+        "Avocado",
+        "grass",
+        "Gooseberry",
+        "K-apple",
+        "tea",
+        "Mobydick",
+        "Pasture",
+        "Vegetables",
+        "horticultural crops",
+        "french beans",
+        "green grams",
+        "passion fruit",
+        "capsicum",
+        "soya beans",
+        "cassava",
+        "Cassava",
+        "groundnuts",
+        "Sunflower",
+        "sunflower",
+        "soya",
+        "forage",
+        "night shade",
+        "Napier grass",
+        "Sugar cane",
+        "Banana",
+        "sukuma wiki",
+        "Trees",
+        "Chillies",
+        "ravaya",
+        "aubegine/ ravaya",
+        "Horticultural crops",
+        "Tomatoes",
+        "onions",
+        "Maize & Sunflower",
+        "Maize & sunflower",
+        "mucuna",
+        "sweet potato",
+        "Coffee",
+        "hay",
+        "pomegranate",
+        "okra",
+        "Apples",
+        "trees",
+        "Bamboo",
+        "simsim",
+        "Pawpaw",
+        "pineapple",
+        "Wheat",
+        "cereals",
+        "sugar cane",
+        "groudnuts",
+        "bean",
+        "Passion fruit",
+        "Soya beans",
+        "Sweet potato",
+        "chilli",
+        "cow peas",
+        "Millet",
+        "tobacco",
+        "rice",
+        "flowers",
+        "Finger millet",
+        "horticultural",
+        "kei apple",
+        "bougainvillea",
+        "soybean",
+        "Canola",
+        "Cereals",
+        "grapes",
+        "Beetroot",
+        "Grapes",
+        "Citrus",
+        "",
+        "Hibiscus",
+        "pixie",
+        "Mulberry tree",
+        "fodder",
+        "Agroforestry",
+        "Pixie",
+        "bixa tree",
+        "arborea trees",
+        "Legumes",
+        "Tree tomato",
+        "Citrus trees",
+        "orange",
+        "Melon",
+        "Flowers",
+        "oranges",
+        "Orange",
+        "grevillea",
+        "Tea",
+        "Macadamia",
+        "Dragon fruit",
+        "Mulberry",
+        "Orange trees",
+        "tree tomato",
+        "Arabicum flowers",
+        "Avocados",
+        "Green gram",
+        "Eucalyptus trees",
+        "coriander",
+        "ovacadoes",
+        "Garlic",
+        "Lemon",
+        "Chilli",
+        "water melon",
+        "sweet melon",
+        "Spinach",
+        "Berries",
+        "Fodder",
+        "Groundnut",
+        "Cherry",
+        "cucumber",
+        "lettuce",
+        "beans & fodder",
+        "Eucalyptus",
+        "tubers",
+        "herbs",
+        "passion",
+        "managu",
+        "Ginger",
+        "saget",
+        "mitoo",
+        "Cucumber",
+        "General crops",
+        "legumes",
+        "Brassicas",
+        "solanaceae",
+        "solanaceous",
+        "karella",
+        "courgettes",
+        "Tomatoes and Vegetables",
+        "Pomegranate",
+        "Strawberry",
+        "Spinach & Bulb Onions",
+        "khat",
+        "Roses",
+        "Capsicum and Strawberry",
+        "Hortcultural Crops",
+        "Cabbage & Onions",
+        "water melon & Onions",
+        "Gourd",
+        "Sugar beet",
+        "chillies",
+        "Fruit Trees",
+        "apples",
+        "spider weed",
+        "Capsicum & Cabbage",
+        "wheat",
+        "Vegetables and fruit trees",
+        "garden peas",
+        "arrow roots",
+        "indigenous vegetables",
+        "brassicas",
+        "garden pea",
+        "Green grams",
+        "pigeon peas",
+        "celery",
+        "Beans & Kales",
+        "Solanaceous",
+        "cucurbits",
+        "Cauliflower",
+        "baby corn",
+        "mushrooms",
+        "Aloe vera",
+        "brinjals",
+        "Courgettes",
+        "Tomato & Capsicum",
+        "wheat and onion",
+        "leeks",
+        "sesame",
+        "lucerne",
+        "Jatropha",
+        "Stevia",
+        "capsicum and onion",
+        "tomatoes and cowpeas",
+        "sugar snaps",
+        "Managu",
+        "Onions",
+        "Cowpea",
+        "Moringa tree",
+        "castor",
+        "Herbs",
+        "lavender",
+        "chives",
+        "Mint",
+        "rosemary",
+        "basil",
+        "Cucumber and Capsicum",
+        "chinese cabbage and chillies",
+        "Broccoli",
+        "beetroot",
+        "Kales & bulb onions",
+        "Sweet corn",
+        "Chili",
+        "Peppers",
+        "arow roots",
+        "rhodes grass",
+        "jatropha",
+        "amaranthus",
+        "Soybean",
+        "pigeon pea",
+        "lupin beans",
+        "Pigeon pea",
+        "finger millet groundnut",
+        "Simsim",
+        "black bean",
+        "canola",
+        "Watermelo",
+        "Boma rhodes grass",
+        "mashrooms",
+        "melons passoin fruit",
+        "Passion",
+        "snow peas",
+        "Capsicum & Spinach",
+        "Amaranthus",
+        "Pepper & Melon",
+        "Basil",
+        "Butter nut",
+        "Garden pea",
+        "apple",
+        "Tobacco",
+        "suflower",
+        "Egg plant",
+        "sweet corn",
+        "cow pea",
+        "Cucumber tomato",
+        "Butternut",
+        "pumpkin",
+        "Lettuce",
+        "Malia volkensii",
+        "Oxytenanthera abyssinica",
+        "broccoli",
+        "chickpeas",
+        "Garden peas",
+        "Sukuma wiki",
+        "leafy vegetables",
+        "Chick peas",
+        "pepino melons",
+        "Watermelon",
+        "pixie plants",
+        "Lucerne",
+        "spices",
+        "desmodium",
+        "dolichos",
+        "pasture grass",
+        "kale and maize",
+        "mint",
+        "Ammi flower",
+        "dhania",
+        "Mangoes",
+        "cucumber capsicum",
+        "zucchini",
+        "cauliflower",
+        "flowering stage",
+        "Cabbages",
+        "Tomatoes & Kale",
+        "Tomatoes & Water melon",
+        "pawpaws",
+        "traditional vegetables",
+        "Green peas",
+        "thyme",
+        "chia",
+        "Orchard",
+        "cash crops",
+        "green peas",
+        "arabicum",
+        "arrowroot",
+        "Arrowroot",
+        "Tarragon",
+        "miraa",
+        "Bananas",
+        "Water melon",
+        "Water melon & Tomatoes",
+        "Oranges",
+        "Kales & spinach",
+        "beans/cowpea",
+        "soya bens",
+        "Black seed",
+        "flax",
+        "spider plant",
+        "jew's mallow",
+        "Traditional vegetables",
+        "Capsicum & Cabbages",
+        "Khat",
+        "amaranth",
+        "pak choi",
+        "green pea",
+        "Leafy vegetables",
+        "Pumpkin",
+        "Blue gam tree",
+        "Dolichos",
+        "asparagas",
+        "squash",
+        "african traditional vegetables",
+        "sugar snap",
+        "Thorn melon",
+        "vanilla",
+        "brassica",
+        "Rhodes grass",
+        "carrots",
+        "Pepper",
+        "Olive tree",
+        "giant nightshade",
+        "Zucchini",
+        "bamboo",
+        "kunde",
+        "blueberry",
+        "tamarillo",
+        "Kales",
+        "Celery",
+        "fruits",
+        "Amaranth",
+        "Indigenous vegetables",
+        "Apple trees",
+        "vegetables & fruit trees",
+        "Dhania (coriander) & beans",
+        "Chives",
+        "Blueberry",
+        "root crops",
+        "turnip",
+        "green vegetables",
+        "Arrow roots",
+        "Tomatoes & Sukuma wiki",
+        "peanut",
+        "oats",
+        "Moringa oleifera tree",
+        "sugarcane",
+        "Plantain",
+        "citrus trees",
+        "Bean",
+        "nappiergrass",
+        "Pineapple",
+        "cashew nuts",
+        "Coconuts",
+        "Cashews",
+        "pulses",
+        "Cashew nuts",
+        "Casuarina",
+        "Duster bean",
+        "giant reed",
+        "Groundnuts",
+        "coconuts",
+        "cashews",
+        "Sisal",
+        "eggplant",
+        "Sweetpotato",
+        "casuarina tree",
+        "Pineapples",
+        "Green house farming",
+        "coconut",
+        "Vanilla",
+        "cashew tree",
+        "Coconut",
+        "Cashew",
+        "Okra",
+        "agave",
+        "Sesame",
+        "black seeds",
+        "mchicha",
+        "mnavu",
+        "bixa",
+        "black nightshade",
+        "Melia volkensii (Mukau) tree",
+        "Cashew tree",
+        "Moringa oleifera",
+        "Almond tree",
+        "bamboo tree",
+        "eucalyptus",
+        "orange tree",
+        "Tree crops",
+        "Horticultral crops &cereals",
+        "Horticultral crops",
+        "Treecrops",
+        "moringa",
+        "dragon fruit",
+        "walnut tree",
+        "cocoa",
+        "Baby corn & Passion",
+        "asian vegetables",
+        "Maize and Vegetables",
+        "beans& Bananas",
+        "beans & Bananas",
+        "beans&S. Potatoes",
+        "beans& bananas",
+        "Maize and beans",
+        "Passion & bananas",
+        "tomatoes & S. Potatoes",
+        "beans & S. Potatoes",
+        "Solanums",
+        "alliums",
+        "Capsicum and Spinach",
+        "Pumpkins",
+        "Brachiaria",
+        "calliandra",
+        "Vegetable",
+        "Pepino melons",
+        "Arabicum",
+        "Tomato and French beans",
+        "Banana tree",
+        "date palm",
+        "Terere",
+        "Lemon grass",
+        "Brachiaria grass",
+        "Pixie oranges",
+        "Apple",
+        "prune tree",
+        "Eucalyptus tree",
+        "Bell pepper and Cucabits",
+        "Acacia trees",
+        "African leafy vegetables",
+        "hibiscus",
+        "pigeonpeas",
+        "melon",
+        "Capsicum & Mangoes",
+        "Passiuon fruits",
+        "Tomato and cabbage",
+        "watermelon",
+        "Sorghurm",
+        "greengrams/cowpeas",
+        "pigeonpea",
+        "Castor",
+        "nuts",
+        "arrow root",
+        "Capsicum & Pawpaw",
+        "Coriander",
+        "boma rhodes",
+        "Maize & Legumes",
+        "egg plant",
+        "General",
+        "chilies",
+        "Jojoba",
+        "Bixa orellana",
+        "Pulses",
+        "turmeric",
+        "Breadfruit",
+        "collard",
+        "tomatoes",
+        "collards",
+        "sweet pepper",
+        "cashew",
+        "agroforestry",
+        "Hay",
+        "Oil palm tree",
+        "brinjal",
+        "thorn melons",
+        "purple vetch",
+        "oat",
+        "barley",
+        "pea",
+        "Snow peas",
+        "dolicos",
+        "Cabbages & Onion",
+        "hot pepper",
+        "roselle",
+        "yam",
+        "Cucurbits",
+        "Baby corn",
+        "Hemp",
+        "kenaf",
+        "Brassicas & Cucurbits",
+        "horticulture",
+        "asparagus",
+        "Tuberose",
+        "mobydick",
+        "Horticultural crops.",
+        "potatoes",
+        "pyrethrum",
+        "Wheat/maize",
+        "buckwheat",
+        "Geranium",
+        "chamomile",
+        "Wheat and Avocado",
+        "blue gum",
+        "Mixed farming",
+        "Red cabbage & Courgettes",
+        "Sukumawiki & Capsicum",
+        "Moby Dick",
+        "Maize & Rhodes Grass",
+        "Leeks",
+        "Cantaloupe",
+        "butter nut",
+        "cabbages",
+        "karela",
+        "Lawn grass",
+        "Chilies",
+        "aloe vera",
+        "soya bean",
+        "cowpeas",
+        "leek",
+        "Eggplant",
+        "Bracharia",
+        "Pawpaws",
+        "bananas",
+        "Sukuma",
+        "Herbs & spices",
+        "Moringa",
+        "Regumes",
+        "Cow pea",
+        "Rosemary",
+        "Yellow passion fruit",
+        "Maize & pineapples",
+        "Tomato and Capsicum",
+        "Artichoke",
+        "moringa tree",
+        "Hot pepper",
+        "Pigeon peas",
+        "avocadoo",
+        "Aocados and onions",
+        "Potatoes",
+        "Biringanya",
+        "pilipilihoho",
+        "green maize",
+        "lentils",
+        "camelina",
+        "crambe",
+        "chinese cabbage",
+        "boma rhodes grass",
+        "plums",
+        "corn",
+        "shrubs",
+        "Onions &  Tomatoes",
+        "Asparagus",
+        "dudhi",
+        "Brinjals",
+        "beans & onion",
+        "Orange tree",
+        "mulberry tree",
+        "rye",
+        "Cactus",
+        "Sweet wormwood",
+        "sunflowers",
+        "Cenchrus ciliaris grass",
+        "taff",
+        "Capsicum & Passion fruit",
+        "Gladiolus",
+        "Lettuce and Amaranth",
+        "Beabs and Amaranth",
+        "Sugar snaps",
+        "stevia",
+        "Bananas &  Tomatoes",
+        "Irish potato",
+        "fodder crops",
+        "paw paw",
+        "Tomatoe",
+        "Quinoa",
+        "Horticulture",
+        "strawberries",
+        "Potato & Tree tomato",
+        "Pyrethrum",
+        "Squash",
+        "brachiaria grass",
+        "lemongrass",
+        "Nappier grass",
+        "passion frits",
+        "African bird eye chilli",
+        "Tobacco nursery",
+        "tomatoo",
+        "floriculture",
+        "hedge",
+        "capsicum and peas",
+        "cyprus trees and water melon",
+        "Tomato and Maize",
+        "Tamarillo",
+        "grape",
+        "capsicums",
+        "Yams",
+        "tree tomatoes",
+        "pepino melon",
+        "Pepino melon",
+        "Green pea",
+        "papaya",
+        "thorn melon",
+        "berries",
+        "Fodder crops",
+        "Courgettes & Capsicum",
+        "Duckweed",
+        "Capsicum and Cucumber",
+        "Brussel sprouts",
+        "Tomatoes & Capsicum",
+        "Capsicum & French beans",
+        "Capsicum and melons",
+        "Lawn",
+        "kales",
+        "cilantro",
+        "radish",
+        "Brachiaria Marandu",
+        "lawn grass",
+        "Strawberries",
+        "Custard apple",
+        "sagaa",
+        "plantain",
+        "Oregano",
+        "Apple tree",
+        "greeen beans",
+        "green beans",
+        "Barley",
+        "Blue gum trees",
+        "beens",
+        "cucumber and tomato",
+        "grains",
+        "capsicum and spinach",
+        "beet root",
+        "turia",
+        "tomato tree",
+        "carnation",
+        "Vetch",
+        "sesbania",
+        "Chillis",
+        "Black beans",
+        "ammi flowers",
+        "Oats",
+        "friut trees",
+        "sweet lupins",
+        "spring onion",
+        "Black nightshade",
+        "Russian comfrey",
+        "lucern",
+        "lemon",
+        "tephrosia",
+        "Oat",
+        "vetch",
+        "Avocado trees",
+        "safflower",
+        "Thyme",
+        "mangetout",
+        "snap peas",
+        "Chickpea",
+        "Black bean",
+        "bupleurum",
+        "raspberry",
+        "cherry berry",
+        "Patchouli",
+        "yams",
+        "Forest trees",
+        "Animal fodder",
+        "Capsicums",
+        "sugar snap peas",
+        "cahilli",
+        "Onioins",
+        "Irish Potato",
+        "Sugar snap",
+        "butter beans",
+        "sugarbeet",
+        "pear tree",
+        "snao peas",
+        "Strawberry and tomato",
+        "Maize and Potatoes",
+        "maize & onion",
+        "Apple fruits",
+        "Maize/Baby corn",
+        "Nappier",
+        "Tomato tree",
+        "kale spinach",
+        "capsicum & beetroot",
+        "Solanum",
+        "snow pea",
+        "sugar snap pea",
+        "Chia",
+        "Arrow root",
+        "courgette",
+        "Dragon fruits",
+        "Fresh beans",
+        "fresh beans",
+        "Chamomile",
+        "peppermint",
+        "tea tree",
+        "pixie oranges",
+        "Aloes",
+        "Oil palm",
+        "chili",
+        "osuga",
+        "African traditional vegetables",
+        "Avocado (Hass & Fuerte) Tomatoes",
+        "avocado & vegetables",
+        "soko",
+        "Watermelon and Beans",
+        "oil palm tree",
+        "artichoke",
+        "lawn",
+        "cypress tree",
+        "Sorghum & Green grams",
+        "Soya beans and Maize",
+        "Various",
+        "maize and vegetables",
+        "Maize & Beans",
+        "Cabbage & Sukuma",
+        "Eryngium",
+        "Green corn",
+        "Mize",
+        "nightshade",
+        "Maize & beans",
+        "Capsicum & Melon",
+        "Cinnamon",
+        "Parsley",
+        "Night shade",
+        "Asian vegetables",
+        "Tomatoes and capsicum",
+        "beans& Pawpaw",
+        "guava",
+        "acacia",
+        "batata",
+        "quinoa",
+        "broad beans",
+        "Miraa",
+        "fine beans",
+        "xxxx",
+        "xxxxxxxx",
+        "bambara nut",
+        "bambara groundnut",
+        "Mung beans",
+        "Lemongrass"
+      ],
+      "crop_counts": {
+        "Maize": 21202,
+        "beans": 11063,
+        "tomato": 3293,
+        "Tomato": 3243,
+        "onion": 2891,
+        "potato": 2349,
+        "maize": 2123,
+        "vegetables": 2049,
+        "Sorghum": 1416,
+        "capsicum": 1371,
+        "Capsicum": 1298,
+        "Rice": 1262,
+        "Fruit trees": 1259,
+        "melons": 1249,
+        "Potato": 1094,
+        "cabbage": 1051,
+        "banana": 999,
+        "Avocado": 989,
+        "millet": 973,
+        "Legumes": 969,
+        "fruit trees": 937,
+        "kale": 923,
+        "green gram": 907,
+        "sorghum": 899,
+        "Melons": 891,
+        "Coffee": 809,
+        "Onion": 781,
+        "cow peas": 761,
+        "cassava": 671,
+        "legumes": 669,
+        "Horticultural": 637,
+        "french beans": 632,
+        "cucumber": 623,
+        "French beans": 618,
+        "Vegetables": 603,
+        "wheat": 593,
+        "Grass": 590,
+        "cowpea": 564,
+        "Cabbage": 554,
+        "cucurbits": 550,
+        "Banana": 525,
+        "mango": 504,
+        "spinach": 498,
+        "sunflower": 492,
+        "avocado": 458,
+        "Sugar cane": 413,
+        "green grams": 400,
+        "Mango": 368,
+        "Beans": 356,
+        "soya bean": 355,
+        "Chillies": 351,
+        "sweet potato": 340,
+        "Green gram": 337,
+        "passion fruits": 331,
+        "Wheat": 330,
+        "cereals": 320,
+        "Soya beans": 316,
+        "Macadamia": 308,
+        "horticultural crops": 307,
+        "peas": 307,
+        "Kale": 296,
+        "Pasture": 293,
+        "Oil palm tree": 270,
+        "coffee": 262,
+        "pigeon peas": 261,
+        "groundnuts": 258,
+        "grass": 257,
+        "garlic": 250,
+        "Horticultural crops": 248,
+        "Tea": 247,
+        "horticultural": 226,
+        "strawberry": 223,
+        "chilli": 221,
+        "Trees": 217,
+        "pawpaw": 217,
+        "Passion fruits": 215,
+        "flowers": 211,
+        "carrot": 209,
+        "pigeon pea": 205,
+        "Chilli": 203,
+        "Tomatoes": 195,
+        "macadamia": 172,
+        "Sunflower": 158,
+        "Strawberry": 158,
+        "Sweet potato": 148,
+        "trees": 145,
+        "napier grass": 144,
+        "tree tomato": 144,
+        "groundnut": 143,
+        "ginger": 141,
+        "Cereals": 140,
+        "Garlic": 140,
+        "soya beans": 130,
+        "Flowers": 128,
+        "rice": 124,
+        "Jatropha": 123,
+        "dolichos": 122,
+        "courgettes": 121,
+        "pasture grass": 121,
+        "Tree tomato": 121,
+        "herbs": 118,
+        "okra": 117,
+        "Cotton": 114,
+        "snow peas": 112,
+        "citrus": 108,
+        "Brachiaria grass": 108,
+        "Pawpaw": 105,
+        "Brinjals": 105,
+        "sukuma wiki": 104,
+        "Finger millet": 104,
+        "Cassava": 101,
+        "fodder": 100,
+        "finger millet": 97,
+        "Citrus": 97,
+        "Various": 96,
+        "cotton": 95,
+        "Amaranthus": 94,
+        "Bananas": 93,
+        "Citrus trees": 91,
+        "garden peas": 91,
+        "butternut": 90,
+        "Tobacco": 87,
+        "lucerne": 87,
+        "Mulberry tree": 86,
+        "sugar cane": 85,
+        "Millet": 85,
+        "soybean": 85,
+        "Napier grass": 84,
+        "Spinach": 84,
+        "soya": 83,
+        "Carrot": 83,
+        "pineapple": 82,
+        "Pineapple": 82,
+        "baby corn": 80,
+        "Cenchrus ciliaris grass": 80,
+        "coriander": 80,
+        "grams": 76,
+        "broccoli": 75,
+        "simsim": 69,
+        "Groundnut": 68,
+        "Cucumber": 67,
+        "passion": 63,
+        "beans & fodder": 62,
+        "Sorghum & Green grams": 62,
+        "Maize & sunflower": 62,
+        "Maize & Sunflower": 62,
+        "oats": 60,
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