An integrated weed detection system in vineyards

Weeds management is one of the major challenges in vineyard cultivation, as weeds can cause significant losses and intense competition in crops. In this direction, the development of an automated weed monitoring process will provide valuable data for understanding weed management practices. This paper presents a new approach for detecting weeds within vineyards. It introduces an innovative robotic system that detects and maps the distribution of weeds in real-time using a deep learning algorithm. The developed model was tested under various conditions with different levels of weed growth and performed accurately in cases where weeds had distinct boundaries.