Plant Detection

Plant detection, using computer vision techniques, aims to automatically identify and locate plants in images, facilitating tasks like species identification, precision agriculture, and environmental monitoring. Current research focuses on improving the accuracy and efficiency of object detection models, such as YOLO and Faster R-CNN, often incorporating multispectral or depth information alongside RGB data to address challenges like occlusion and varying plant sizes. These advancements are crucial for applications ranging from optimizing crop management through targeted pesticide application to large-scale ecological surveys using drone imagery.