Recent Trends in Agricultural Pest Management using Sensors and AI-driven Data Analysis

Abstract

This research explores smart solutions for plant pathogen monitoring by converging microfluidics, sensors, and AI-driven data analysis. The integration of these technologies offers a novel approach to real-time and precise detection of plant pathogens, facilitating early intervention and sustainable crop management. The abstract provides a glimpse into the convergence of microfluidics, sensors, and AI, highlighting its potential to revolutionize plant pathology and contribute to global food security.