Description:

The Pest Outbreak Prediction Model is a data science-powered platform that predicts the likelihood of pest infestations in agricultural fields.
It uses historical pest occurrence data, climate conditions, crop type, soil quality, and satellite imagery to identify high-risk areas and provide early warnings to farmers.
By alerting farmers in advance, this tool helps reduce crop damage, pesticide overuse, and economic losses while promoting eco-friendly pest management.

Key Features:

1. Pest Risk Forecasting – Predicts pest outbreaks based on environmental and agricultural factors.

2. Climate Data Analysis – Integrates temperature, humidity, and rainfall data that influence pest activity.

3. Crop-Specific Risk Models – Uses pest lifecycle data for different crops.

4. Satellite & Drone Image Analysis (Optional) – Detects early signs of pest damage from vegetation patterns.

5. Geo-Mapping – Displays high-risk zones on an interactive map.

6. Recommendation System – Suggests preventive measures and eco-friendly pest control methods.

7. Farmer Alert System – Sends SMS or app notifications when a pest risk is detected.

8. Historical Trends Dashboard – Visualizes past outbreak patterns for better planning.

Technology Stack:

• Backend: Node.js / Java / PHP (for data collection, risk calculation, and alerts)

• Frontend: HTML, CSS, Bootstrap, JavaScript (for maps, charts, and dashboards)

• Database: MySQL / MongoDB / PostgreSQL (stores pest data, crop records, weather logs)

• Data Science Layer: Python (scikit-learn, TensorFlow, pandas for predictive modeling)

• APIs: OpenWeatherMap API, FAO pest database, Google Earth Engine (for satellite imagery)

• Optional Hardware: Drones or IoT field sensors for real-time crop monitoring

Example Use Case:

• In Punjab, a rice farmer receives an alert from the system predicting a high probability of a brown planthopper outbreak in the next 10 days.

• The model’s prediction is based on last 5 years of pest occurrence data, current humidity levels (80%), and monsoon rainfall patterns.

• The dashboard suggests biological pest control methods like releasing certain predator insects instead of heavy pesticide use.

• The farmer applies the recommended preventive measures, avoiding severe crop loss.