Category Archives: Learning

Using simple data to help you manage better

Monitoring and assessing a turf grass surface can often be seen as a chore, however, used properly the data from monitoring and assessments can provide valuable, objective information to help improve decision making in the best use of, often very limited, resources. Whilst there are a large number of potential performance data which can be collected and assessed, a sensible approach is to consider what specific data might provide the most value for the type of turf surface you have.

Turf Management: Change of focus

The aim of turf management is on creating a surface which is fit for purpose. A significant effort is put into carrying out a wide range of essential maintenance activities to create the desired surface.  Sometimes we can become too absorbed into undertaking maintenance work without taking a step back and questioning how not just how effective is the work, but also what are the wider consequences of the activity on the sustainability of the turfgrass environment. Changing the focus

Artificial Intelligence: Supporting Management decisions

With an apparent increasing skills gap and potentially increasing disparity between the availability of the number of employees, and volunteers, to effectively look after the large number of sports pitches within the UK, there is going to be a significant need for accessible support services which aid decision making. Resources are often limited, especially financial ones, so ensuring effective decisions are made on inputs in relation to desired outcomes can often mean the difference between success and sub-optimal outcomes, or

Alexa Decision Skill Development

The Alexa Skill ‘Turf Expert’ vocabulary of terms is currently in version 2 and developing well, it’s now time to develop a decision tree skill; this will be based on turfgrass identification to help determine the general flow of a voice decision tree. I’ve sketched out the general technical approach, see below and now need to work this into the voice design code. The aim is to be able to use the voice skill to fairly easily narrow down probable

Turf Futures?

With the future of the UK uncertain come a post-Brexit world, maybe a few thoughts as to what the future holds for the turf care industry are needed here: Jobs: With around 30,000 people employed as grounds operatives / groundsman and greenskeepers (source: ONS) and with an ageing workforce, this relatively niche jobs market will continue to offer good opportunities. If the labour pool is to become more limited, with workers migrating back to continental Europe, prospects for employees could