AI-Based Weed Detection Algorithm using YOLOv8

The development of a country relies heavily on agricultural produce and its related sectors.However, farmers face significant challenges due to the uncontrolled growth of weeds, which reduces their yield.Weed detection is a key step in the removal process, and advances in technology, such as the YOLOv8 model, have simplified this task.YOLOv8 offers improved weed and crop detection, with enhancements of 1.3% and 1.17% in mAP50 and mAP50-95, respectively, over the previous YOLOv5 model.This allows farmers to efficiently identify and eliminate weeds, leading to higher productivity and better crop yields, ultimately supporting the agricultural growth of the country.