The most important applications of the Big Data at sports surfaces consist of the collection and proper management of the information that is generated on a continuous basis (soil sensors such as Pogo or weather stations) or on an ad hoc basis (biomechanical testssoil analyses, etc.).
The information from all sources can be combined to obtain a complete database of sports fields or crops. With this data, accurate decisions can be made to keep the field in perfect condition all year round.

The presentation of data in a simple and visual way is another of Tiloom's defining characteristics for its customers, for example, through its platforms from data analysis.
The management of this information through mathematical modelling can lead to the disease prediction fungal diseases such as Dollar SpotThe logistic regression model is based on the model Smith-Kerns Dollar Spot Modelwhich determines the probability of occurrence of this disease using information from weather stations (data imported from relative humidity and average temperature).
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0194216
New fertility guidelines, MLSNhave also been implemented by leading researchers such as Micah Woodsbased on the analysis of the big data.
The analysis and simulation of the processes taking place on the different sports surfaces is possible with the collection of irrigation water and soil data. Numerous studies are available to predict and remedy possible incidents. One of them is the "Study of the physico-chemical processes of the rhizosphere from greens built to USGA specifications on golf courses using hydrogeochemical modelling with PHREEQC"Raúl Bragado, 2016.

The study can be consulted in its entirety at the following link "http://hdl.handle.net/10317/5721". It assesses the effect of soil mineralogy and its relationship to water. Without the use of Big Data conclusions could not have been drawn.
Top level Groundsman like Vicente Alpuente at Villareal C.F. have implemented this type of studies on their surfaces. At Tiloom we support you with the backing of our agronomic team and differentiating technology.
Contact with the Tiloom team if you want to implement the latest technology in data collection and analysis. We will be happy to offer you our help
"What cannot be measured cannot be improved. Lord Kelvin.
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