Development of a Solar-Powered Smart Insect Biodiversity Monitoring System for Pollution-Impacted Ecosystems

Abstract

Rapid industrialization and urban expansion have led to severe air, water, and soil pollution, which threatens insect biodiversity and ecological balance. Traditional monitoring methods for insects are labor-intensive, time-bound, and lack continuous data collection. This study proposes the development of a solar-powered smart insect biodiversity monitoring system (SP-SIMS) integrating renewable energy and IoT-based sensors. The system autonomously captures, identifies, and records insect activity using solar-driven cameras and environmental sensors. Field trials will be conducted in pollution-impacted regions near industrial discharge areas to correlate insect abundance with air and water quality parameters. The study aims to establish an eco-engineering model for sustainable, real-time insect biodiversity monitoring and pollution assessment.