Grapes Insect Detection and Monitoring using YOLOv4

Abstract

The digital image processing and deep learning techniques are considerably applied to agricultural field, and it has a countless perspective, especially in the factory protection field, which eventually leads to crop operation. The idea offers a software system for the type and number of insects populated on sticky traps placed on farms. Pictures of the insects are captured by a camera and reused using image processing techniques to detect different insects and their population. Beforehand discovery of pests or the original presence of insects is a crucial- point for crop management. Damage and loss occurred by effects of insect is getting reduced by improved crop protection strategies. This impacts food security significantly. This system helps to detect insects and control them in early stage to control future problems. We're going to apply it using python libraries for image processing along with Machine learning algorithms for better accuracy.