Crow Detection In Peanut Field Using Raspberry Pi

Groundnut is a major crop in Machilipatnam's Manginapudi village. The majority of people rely on the groundnut crop, either directly or indirectly. Farmers annual income is determined by the yield of the crop they produce. Farmers annual income falls every year for a variety of reasons. One such reason is the harm done by birds such as crows. Crows cause significant damage, reducing crop yield. So, we proposed a Raspberry Pi project. This model has two main functionalities: the first is the use of the Raspberry Pi OS which employs OpenCV for object detection, and the second is the buzzer for generating sounds that will drift the birds away from the field. Convolutional neural networks(CNN) were used in our methodology for the detection of birds in real-time. The proposed approach makes use of the SSD algorithm for faster real-time detection with improved precision. The Single Shot Multi-Box Detector (SSD) algorithm is the fastest method for object detection from an image using a single layer of a neural network. This project aims to maximize the yield output and demonstrates how the Raspberry Pi can help to achieve this.