Automated Pesticides Sprayer: A Technological Solution for Precision Farming

Abstract

This study introduces an Automated Pesticides Sprayer system aimed at improving precision in agricultural pesticide application. Leveraging state-of-the-art technologies such as the ESP32 microcontroller, camera module, and ultrasonic sensor, the system detects plants accurately and adjusts pesticide dispersal accordingly. Image processing algorithms, including TensorFlow Lite, facilitate precise plant detection and differentiation from other objects. Concurrently, an ultrasonic sensor measures plant proximity to the sprayer to ensure targeted spraying. Control logic embedded in the ESP32 microcontroller triggers the sprayer mechanism based on plant detection and distance measurement data. Additionally, feedback mechanisms optimize spraying parameters using real-time monitoring data, enhancing environmental and human safety.