By Garett Heineck
In my previous blog post, I discussed open source and commercial software that turfgrass scientists currently use to assess different variables. In this post, I will introduce a new image analysis technique that has been developed at the University of Minnesota using program R.
Roadside turfgrass plays many important roles in the environment that include public safety, water quality, erosion prevention, cooling in urban areas, dust reduction, and aesthetics. The UMN Turfgrass Science Team has developed a unique new online training course on the installation and management of this important part of the landscape.
By Garett Heineck
Visual assessment of turfgrass stands is done, intentionally or passively, by anyone who owns or maintains lawns. Turfgrass scientists, golf course superintendents and sports field managers intentionally collect data on turf for various purposes, while homeowners may casually observe their lawns making only mental notes. Automated data collection methods can replace visual assessment of several traits such as winter survival and disease incidence
Check out our team’s latest efforts in educating the public about our work! We have a podcast and several upcoming presentations at regional conferences.
By Dominic Petrella
Shade can be stressful for turfgrasses due to decreasing photosynthesis, causing turfgrass to produce leaves that are more susceptible to traffic damage and disease incidence. Turfgrasses grown in shade may not perform very well due to decreased density. While we understand that shade is stressful, it’s commonly forgotten that there are two different types of shade, qualitative shade and quantitative shade (both having different properties) that can lead to these detrimental changes in turfgrass growth.