AI-Driven Farm-Guard Protection System from Offensive Entry of Nilgai

Abstract

Agriculture is the backbone of any country's growth, and it is the utmost duty of every citizen in that country to save it and help in cultivating, but farmers have no such technology to save the crops from being destroyed by animals. Animal intrusion is a major threat to the productivity of the crops; it becomes a major concern for farmers and a threat to the crop fields. To protect their crops from animals like wild boars, goats, monkeys, nilgai (Boselaphus tragocamelus), etc., farmers are led to take preventive measures such as installing fences, which becomes a danger for animals too. The proposed system has been developed to create a defensive framework for the crop fields without causing harm to the animals using a deep learning model and IoT sensors. Upon detecting a wild animal, the system triggers multiple deterrent mechanisms, including the activation of a buzzer, water sprinkler and flashing of light. The proposed system helps the farmer to protect their crops from damage due to wild animals without any harm to them, which also helps in preserving biodiversity.