Precise Turf Management made possible thanks to Satellite-based Course Monitoring
Technological innovation has reshaped many industries through improved data collection and automation. Golf course maintenance, however, has often lagged these advancements due to the complexity of turf condition systems and the challenge of collecting meaningful data at scale. After more than 25 years in the industry, I have consistently sought ways to improve efficiency, optimize inputs, and make more informed management decisions. Today, those goals are more critical than ever.
Water availability, particularly in Arizona, is an increasingly limiting factor. At the same time, the cost of agronomic inputs continues to rise, while golfer expectations remain high. As Director of Agronomy at Desert Mountain Club in Scottsdale, Arizona, these challenges are magnified by scale. Managing seven courses across 8,300 acres requires a disciplined, data-informed approach to ensure consistent conditions, responsible resource use, and long-term sustainability. Last year, we began implementing remote sensing technology powered by satellite imagery and AI. The primary benefit was immediate: consistent, objective golf course turf precise data without the need for extensive manual scouting. This turf monitoring software capability has fundamentally changed how we evaluate turf performance and respond to developing issues.
One practical application has been the evaluation of a newly selected Bermuda grass variety, for which we track growth patterns, identify spatial variability, and observe stress responses over time. Rather than relying solely on visual assessments or isolated sampling, we can monitor performance trends across large areas thanks to aerial technology for golf turf. Measurements in SkimTurf have also helped us monitor sodium accumulation within plant tissue and assess the effectiveness of our remediation strategies. In an environment where irrigation water quality and soil salinity are ongoing concerns, having objective data allows us to make more precise adjustments and evaluate results over time rather than relying on assumptions or delayed feedback. Equally important has been the evolution of how this data integrates into daily operations. With the recent connection between SkimTurf and the John Deere Operations Center™, we can define variable-rate application zones, generate prescription maps, and seamlessly transfer them into GPS-enabled spray equipment.
This workflow facilitates targeted applications and precise golf turf fertilization, improving uniformity while reducing overall inputs. From a labor standpoint, we focus time and effort where it has the greatest impact, rather than applying blanket treatments. Precision-based applications help reduce the risk of over-application, nutrient loss, and off-target movement of chemicals. For facilities operating under water-use constraints and increasing regulatory scrutiny, this level of accountability is becoming essential. Beyond daily management, the value of data lies in its ability to provide long-term insight. Historical trends help us evaluate management strategies, justify agronomic decisions, and communicate more effectively with members, boards, and external stakeholders. Rather than relying solely on anecdotal evidence, we can support data-driven turf management decisions with objective information that demonstrates both performance outcomes and responsible resource use.
While technology, and such an a superintendent agronomy software, are not a replacement for experience or sound agronomic fundamentals, it provides agronomy teams with a broader, more consistent view of their golf courses, enabling proactive management rather than reactive responses.
