Turfgrass research and management comprises a specialized discipline that has evolved to a state of elegance. It takes significant training and mentorship to hone the craft. The practice is becoming highly competitive and data oriented. Leading local practitioners find themselves stretched thin during the busy season. So, it is no surprise that superintendents, product managers, landscapers, and environmental scientists are turning to Artificial Intelligence (AI) to fine tune insights, spend less time walking the grounds, and multiply their expertise. AI And Turfgrass: Perfect Together A modern cousin of statistics, AI is incredibly powerful in its ability to furnish useable knowledge. When done well, AI translates a stream of complex data into actionable information. Whether it’s lawns, easements, sod farms, parks, golf courses, highway margins, or natural areas, the needs of turfgrass vary as much as the abundance of species, ecotypes, and varieties of environments that host them. This richness and diversity of data presents an opportunity to apply AI. Whether for an intensely managed putting green, erosion control, or a place to play, where there is data, AI can enhance turf quality and simplify management. Following are 10 ways that AI enhances turfgrass management. While, this list isn’t exhaustive, it represents the breadth of uses and ideas from golf course superintendents, product managers, landscapers, and environmental scientists. And in truth, none of these applications of AI can ever substitute for experienced turf managers. But it helps do the work faster, using fewer resources, and leads to more predictable outcomes. 1) ...