BIRD REPELLENT ON FARMING LANDS USING COMPUTER VISION

India owns 60% of the world’s second-largest agricultural land area. Around 10% to 40% of the crops are impacted by birds. We’ll attempt to find an answer to the following questions in this project. Our main objective is to repel the birds without hurting them, so we are driven to complete the task without using any human effort. We have selected one crop and analyzed. There are four types of birds that are harming the paddy, according to the survey that was done. The peacock, house sparrow, pegion and grey patridge have the biggest effects as compared to other species. For machine learning and digital image processing, we use the ORB algorithm approach. The primary library employed is the open CV. The Pictures of birds entering the agriculture field is captured and compared with the above four species. If the result is positive then the signal is transmitted to the microcontroller. Then the microcontroller functions the necessary hardware to repel the birds.