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

The uses of pesticides, steroids and fertilizers has to be tremendously increasing the negative effects caused to the people in terms of health. Harmful pesticides enter into the human body through fruits and vegetables, so that optimal solution is needed to analyses the pesticides detected in the fruits the common man is consuming. Hardware design and software design are obtaining an accurate and the real time output. In this Project, a solution is developed with the use of three sensors, Arduino and to get the information about the presence of pesticides. The threshold value of pesticide is given and which is healthy to be consumed by animals and humans is given by Embedded C Program. If a fruit is detected to belong in a range above the threshold level, then it is said to contain more pesticides which is un healthy to eat. Through IoT, the pesticide content and the values obtained from each sensor are shown in Thingspeak Server.

Keywords: Arduino, WSN, GSM, gas sensor, LCD.