Evaluation of a machine-vision sprayer for weed control in managed turfgrass

Advances in artificial intelligence (AI) and machine vision are rapidly changing the way turfgrass managers approach weed control. Traditional broadcast applications treat the entire surface uniformly, even when weeds occur sporadically. This approach increases pesticide use, raises concerns about environmental impact, and contributes to the public perception that golf and sports facilities are chemically intensive. Machine‑vision sprayers represent a new generation of targeted precision, where products are applied only to unwanted plants, reducing inputs while maintaining playing quality. This seminar will present results from independent evaluations of a machine‑vision sprayer in turfgrass systems. Topics will include accuracy of weed detection (including for Poa annua), reductions in pesticide use compared to broadcast applications, and implications for residue management, resource allocation, and cost of maintenance. Attendees will gain an understanding of how AI‑driven tools can be integrated into weed management programmes, what benefits and limitations to expect in the short term, and how these technologies may influence future turf management practices. 

Learning Outcomes 

•  Describe how machine vision and AI can be applied to weed detection in turfgrass 
• Compare broadcast pesticide applications with targeted precision approaches in terms of efficiency, cost, and sustainability 
• Evaluate potential reductions in pesticide use and environmental footprint when using machine‑vision sprayers 
• Identify challenges and limitations associated with implementing AI‑driven technologies in turfgrass management 
• Anticipate how targeted precision may influence regulatory compliance and public perception of pesticide use

Presented by:

Dr James (Jay) McCurdy

Professor and turfgrass extention specialist ecorobotix

Jay McCurdy is a Professor and Turfgrass Extension Specialist at Mississippi State University, where he leads applied research and outreach programs in sustainable turfgrass management. His expertise includes weed management, herbicide resistance, and the integration of pollinator habitats into managed landscapes. Dr. McCurdy has coordinated regional Extension programming, field days, and national workshops, and has published extensively on turfgrass weed ecology and control. His research emphasizes environmentally responsible management practices that balance turf quality, input reduction, and public expectations. In addition to his academic role, he actively collaborates with industry partners to evaluate emerging technologies that advance sustainability in turf systems.