AI AND IOT BASED DETECTION OF PESTICIDE IN ORGANIC FRUITS AND VEGETABLES

Abstract

Several contemporary methods have been devised to increase food production in order to meet the needs of a rising population. In contemporary times, fruits and vegetables have emerged as the primary reservoir of essential nutrients and energy. Several chemicals are used in the cultivation of fruits and vegetables, posing a risk to consumers. In order to detect the presence of pesticides in organic fruits and vegetables, it is essential to develop a cost-effective, portable, highly sensitive, and specific biosensing platform. Various types of sensors, including as nano-sensors, pH sensors, humidity and temperature sensors, and gas sensors, are used to detect the presence of pesticides on fruits and vegetables. The input data is acquired from sensors and sent to the microcontroller. The software implemented in the microcontroller is designed to compute the quantity of pesticides detected on fruits and show the result on the display. The primary objective of our work is to compute the NDVI (normalized difference vegetation index) using infrared sensors. The software for this project is developed using the embedded C programming language. The acceptable levels of pesticides on fruits or vegetables that are safe for consumption by humans and animals are provided in the embedded C program. If a fruit is found to fall outside the specified range, either above or below the threshold level, then the fruit sample is determined to contain pesticides. The mobile application allows for the visualization of pesticide content and sensor readings via the use of Internet of Things (IoT) technology.