Robotic Weed

Robotic weed control is an emerging field focused on developing autonomous systems for precise weed removal in agriculture, aiming to reduce herbicide use and improve sustainability. Current research emphasizes the integration of computer vision (often employing deep convolutional neural networks) with robotic manipulation, enabling targeted weed treatment through methods like flaming, spot-spraying, or mowing. These advancements leverage real-time weed detection and path planning algorithms to optimize efficiency and minimize crop damage, offering significant potential for enhancing agricultural practices and mitigating environmental impacts associated with conventional weed management.