Immediate Animal Recognition and Anticipation Classification for Harvest Fields Using Machine Learning Techniques

An automatic electronic human eye was designed which helps to sense the presence of humans. In this project, the goal is to use electronic sensors and technology to detect the presence of individuals in a crop area, similar to how dogs provide security by alerting to human presence. The prototype involves the ultrasonic sensor, which detects the 3600 angle, its waves have wavelength of 1.9cm or less and sounds frequently greater than 20KHz, when someone interrupt the drying crop area (or) when animals try to consume the crop, the crops on the road are interrupted, then we get the intimation or a message to phone through GSM (Global System for Mobile communication). A siren sound will be produced by the prototype which indicates the presence of animals nearby and leads to irritation in animals ears leading animals run away.