Animal encroachment in farms results in significant agricultural revenue losses that a farmer cannot afford. Although agriculture is the most significant sector of the Indian economy, wild animal damage to crops has become a major social issue in recent years. So far, many farmers have relied on guards to protect their crops, which has resulted in higher overhead expenditures. The major goal of this project is to employ a novel deep learning model using CNN to identify, recognise, and control crop damage caused by animals. In this study, a novel deep learning architecture is proposed to detect the presence of animal and identify the type of animal.
Software And Hardware