Artificial Intelligence and IoT based detection of pesticide in organic fruits and vegetables

Many modern techniques were developed to produce more quantity of food for growing population. Now a day fruits and vegetables have become the major source of nutrients and energy. Many chemicals are used in the production of fruits and vegetables, which are dangerous for consumers. To identify pesticides in organic fruits and vegetables, it is necessary to build low-cost, portable, sensitive, and selective biosensing platform. Many sensors like nano-sensors, pH sensors, humidity and temperature sensors and gas sensors are used to detect the pesticides on the fruits and vegetables. The input data is taken from sensors and send to the microcontroller where the program is written in such a way that it calculates the number of pesticides present on fruits and display the output on the display. Main aim of our paper is to calculate the NDVI (normalized difference vegetation index) using IR sensors. The software for this project is written in embedded c program. The safe value of pesticides on fruits or vegetables which can which can be consumed by humans and animals are given in the embedded c program. If a fruit is detected to belong in a range above or below the threshold level then the fruits sample contains pesticides. Through IOT, the pesticides content and the value from each sensor are seen in mobile application.