Air-Sense: Enhancing Crop Yield and Quality through Integrated IoT-based Air Quality Monitoring System

Abstract

Air quality has a significant effect on crop production and quality. Crops are affected when they are exposed to certain air pollutants. The effect might range from visible spots on the leaves to reduced growth and yield, and plant’s early maturity. The degree of the damage was determined by the concentration of the specific pollutants and several other variables. This paper presents Air-Sense that is an IoT-base real-time air quality monitoring system. It is not only monitoring the quality of air and weather parameters around the crop but also deter-mine its effect on the crop leaves. Air-Sense monitors four gases: hydrogen gas (H₂), Carbon Monoxide (CO), Ozone (O₃) and Carbon dioxide (CO₂). The dust particles (PM2.5), s air temperature, soil moisture and humidity are also determined with this system. The system has been evaluated on the cotton crop by measuring leaf chlorophyll concentration with the help of the image processing model with an average validation accuracy of 93.47% based on an image dataset of 2000 healthy and infected cotton leaves. This system will enable farmers to monitor their fields air quality and make timely decisions about the best suitable sowing location for crops to get better yield and quality.