Shaun Coutts

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About

Shaun Coutts is a researcher at the forefront of precision agriculture and robotic weed management, with a focus on sustainable crop production. His work centers on developing autonomous systems for site-specific weed control, particularly in narrow-row cereal crops like wheat. Coutts’ major contributions include pioneering robust crop row tracking algorithms that enable robots to navigate challenging cereal canopies, where early canopy closure and weed occlusion complicate traditional vision-based methods. His 2022 paper on robotic crop row tracking using cereal-specific features (25 citations) is a key reference in the field, demonstrating how computer vision can overcome these obstacles for real-time weeding. More recently, Coutts has advanced remote sensing for weed mapping, using UAV-based multispectral detection to identify black-grass (*Alopecurus myosuroides*) in cereal fields, a critical step toward reducing herbicide use through targeted application. His work directly addresses the environmental and economic costs of blanket spraying, offering scalable solutions for sustainable farming. With a growing citation impact, Coutts is shaping the future of autonomous agriculture, bridging robotics, computer vision, and agronomy to create smarter, more efficient weed management systems.