Crop Sentry: AI-Enhanced Protection for Agriculture Field

Across the nation, there is a wide range of conflicts between people and animals, such as the threat posed by monkeys in urban areas, wild pigs stealing crops, birds, and other animals protecting agricultural fields. One of the biggest problems facing the world today is finding practical solutions for the conflict between humans and animals. In the suggested work, intrusion detection is implemented using a wireless sensor network-based technique. To distinguish between humans and animals, a Convolutional Neural Network (CNN), is utilized to analyze the features of the images and then the support vector machine (SVM) and other classifier methods are applied for performing classification. The approach suggested in this proposed study may detect human and animal incursion extremely in an efficient way to enhance the accuracy of detection compared to the standard manually extraction as per the findings of several experiments being conducted in the agricultural field.