Data-driven turf care
Calendar-based turf care is replaced by data-driven, site specific, ‘real-time’ analytics allowing the treatment of each square metre of turf as a unique ecosystem. Using real-time data optimises inputs and does away with the use of indiscriminate use of ‘just in case’ treatments.
IoT Sensors
The use of soil sensors to monitor wear and tear, temperature and moisture levels that instruct automated irrigation systems to water as needed rather than indiscriminately, significantly reducing water wastage.
Robotics
The use of autonomous robotic mowers that provide lightweight, frequent cuts – this not only improves turf density it also reduces fuel consumption.
Drones and Artificial Intelligence
Drones and AI smart imaging software find turf problems such as pests and nutrient gaps, up to two weeks earlier than are visible to the human eye, allowing for faster, targeted responses and treatments. It also means only areas that need it are treated.
The Future of Turf Education
This fast-moving industry is driving a surge in demand for turf management professionals who have high tech-skills such as AI diagnostics, a sound knowledge of sustainable turf science and soil biology.
This is not a ‘set and forget’ industry. In order to stay ahead and future proof your abilities and career in turf management as a greenkeeper, landscape contractor, or superintendent you need continuous, proactive learning.