Project Developers
IoT-Based Pheromone Trap Monitoring & AI Pest Analytics System
IoT Systems & Embedded Architecture
Mohammad Shaheer
Implemented ESP32-based pheromone traps with real-time image capture and Arduino C++ firmware integration.
Backend & System Architect
Mosin Mushtaq
Designed the scalable server-side architecture, system database, and analytics dashboard.
Research & Institutional Support
This technology was developed at SKUAST Kashmir under the aegis of the Center for Artificial Intelligence and Machine Learning (CAIML).