SMART PEST DETECTION SYSTEM

IoT-Based Pheromone Trap Monitoring & AI Pest Analytics engineered for scalable agricultural intelligence.

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Smart Trap in Field

SYSTEM PIPELINE

01

DATA CAPTURE

Data Capture Unit

Smart traps capture real-time pest activity under dynamic environmental conditions using ESP32-CAM.

02

EDGE PROCESSING

Edge Processing Unit

On-board AI algorithms analyze images instantly to identify and count pest populations.

03

CLOUD ANALYTICS

Analytics Dashboard

Aggregated data is visualized on a central dashboard for actionable insights and trend analysis.

DASHBOARD FEATURES

DATA FEED 01

Real-time Visuals

Live telemetry streams from AI-powered traps providing instant infestation density and environmental status maps.

ANALYSIS 02

Trend Analysis

Advanced modeling and predictive heatmaps identify upcoming outbreak zones before they impact crop yield.

COMMAND 03

AI Engine

Automated intervention recommendations optimized for effective pest management with minimal ecological disruption.

SYNC 04

Field Logistics

Direct integration with automated farm equipment for targeted application and precise field resource management.

RESEARCH IMPACT

Our system utilizes comprehensive analytics to understand pest patterns and optimize intervention strategies. By correlating real-time data with historical trends, we empower farmers to shift from reactive measures to precise, proactive pest management—securing higher yields and significantly minimizing chemical usage.

Our Solution: By deploying this system in active agricultural fields, researchers gather authentic performance data beyond simulations. We monitor real-time population shifts to validate insecticide efficacy under dynamic conditions, ensuring new formulations perform effectively where it matters most.

Analytics

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