Evaluating Decision Support Tools for Precision Nitrogen Management on Creeping Bentgrass Putting Greens

Q Zhou, DJ Soldat - Frontiers in Plant Science, 2022 - frontiersin.org
Nitrogen (N) is the most limiting nutrient for turfgrass growth. Few tools or soil tests exist to
help managers guide N fertilizer decisions. Turf growth prediction models have the potential …

A latent scale model to minimize subjectivity in the analysis of visual rating data for the National Turfgrass Evaluation Program

Y Qu, L Kne, S Graham, E Watkins… - Frontiers in Plant Science, 2023 - frontiersin.org
Introduction Traditional evaluation procedure in National Turfgrass Evaluation Program
(NTEP) relies on visually assessing replicated turf plots at multiple testing locations. This …

Organic matter and nutrient content within putting green root zones in Tennessee

MM Kahiu, MS Woods, JC Booth, BJ Horvath… - Agronomy …, 2024 - Wiley Online Library
Organic matter and soil nutrient accumulation within putting green root zones affects surface
quality and performance. Research was conducted to explore differences in organic matter …

Quantifying golf course nitrogen use efficiency

MAH Bekken, DJ Soldat - Grassland Research, 2022 - Wiley Online Library
Background Previous studies have surveyed golf courses to determine nitrogen (N) fertilizer
application rates on golf courses, but no previous studies have attempted to quantify how …

[HTML][HTML] Determining the effectiveness of golf course resource efficiency best management practices

MAH Bekken, PD Mitchell, DJ Soldat - Ecological Indicators, 2024 - Elsevier
The US golf industry, especially the Golf Course Superintendents Association of America
(GCSAA) and the United States Golf Association (USGA), have relied heavily on the concept …

Predicting the Hardness of Turf Surfaces from a Soil Moisture Sensor Using IoT Technologies

AM McKeon - 2019 - arrow.tudublin.ie
Predicting the Hardness of Turf Surfaces from a Soil Moisture Sensor Using IoT Technologies
Page 1 Technological University Dublin ARROW@TU Dublin Other Department of Engineering …

[PDF][PDF] Michael AH Bekken, Douglas J. Soldat, Paul L. Koch, Carl S. Schimenti, Frank S. Rossi, Trygve S. Aamlid, Karin J. Hesselsøe, Torben K. Petersen, Chase M …

AR Kowalewski, C Spring - Quantifying the Efficiency of Golf Course … - asset.library.wisc.edu
This study quantifies golf course pesticide risk in five regions across the US (Florida, East
Texas, Northwest, Midwest, and Northeast) and three regions across Europe (UK, Denmark …

Studies on the Ecology of Roadside Turfgrass Mixtures in Minnesota

DC Christensen - 2021 - search.proquest.com
Establishing persistent vegetation along roadsides is challenging in cold climates. These
areas are subject to snowplow damage, winter freezing and ice encasement, excessive heat …

[图书][B] Developing and Evaluating Turfgrass Growth Prediction Models with Machine Learning Techniques for Precision Nitrogen Management on Golf Course Greens

Q Zhou - 2021 - search.proquest.com
Nitrogen (N) fertilizer decisions are difficult for turfgrass managers because few tools or soil
tests exist to assess N availability or requirements. This study proposed a new N fertilization …

Quantifyinggolfcoursenitrogenuseefficiency

MAH BeEEen, DJ Soldat - UNIVERSITY OF WISCONSINYMADISON … - search.proquest.com
Previous studies have surveyed golf courses to determine nitrogen (N) fertilizer application
rates on golf courses, but no previous studies have attempted to quantify how efficiently golf …