Forest Animal Detection System Using Machine Learning

Abstract

In forest areas and agricultural areas human and animal conflict is a big problem where there is a number of resources is lost. Due to this People lose their products, income, and sometimes their food. So, this is to be monitored continuously to prevent entry of animals. With keen on this problem, we have made a model to develop the system which will monitor the field without any harms. At first it will detect intrusion around the field using sensor, then camera will capture the image of the intruder and classifying them using image processing and then Taking suitable action based on the type of the intruder. Finally sends notification to particular person and forest officials using Telegram application. In India, nearly 65% of the people are directly or indirectly dependent on agricultural sector for economic survival. The annual income of farmers is significantly influenced by the yield of the crops, which is continuously decreasing due to natural phenomena and poor technological advancement. Many of the used methods result in extinction of the rare species. Therefore, there is a need to develop alternative techniques, such that it does not harm birds and animals physically as well as protects the crops, thus we have collected sources from the experts in the fields of ornithology, agricultural sectors and field visits, to avoid irreversible harm to the Indian biodiversity. This research analyzes the loss of yield of crop due to birds and animals, explores repelling techniques adopted by the farmers, and addresses the consequences of damage caused by the bird and animals to field crops in India. This project protection from birds and animals to reduce the loss of crops and thus helps farmer store duce the risk of crop damage.