Precision Turfgrass Irrigation: Capturing Spatial Soil Moisture Patterns with ECa and Drone Data

R Kerry, B Ingram, K Sanders, A Henrie, K Hammond… - Agronomy, 2024 - mdpi.com
Turfgrass irrigation consumes a large amount of the scarce freshwater in arid/semi-arid
regions. Approximately 50% of this irrigation water is wasted. It has been suggested that …

Spatial Analysis of Soil Moisture and Turfgrass Health to Determine Zones for Spatially Variable Irrigation Management

R Kerry, B Ingram, K Hammond, SR Shumate… - Agronomy, 2023 - mdpi.com
Irrigated turfgrass is a major crop in urban areas of the drought-stricken Western United
States. A considerable proportion of irrigation water is wasted through the use of …

Sustainability of athletic field turf comparing organic and synthetic practices under two heights of cut

WM Dest, JS Ebdon - Crop Science, 2025 - Wiley Online Library
Long‐term comparisons over several years between organic and synthetic management are
lacking in sports turf research. Our objective was to investigate playing surface qualities and …

Relating spatial turfgrass quality to actual evapotranspiration for precision golf course irrigation

K Meza, AF Torres‐Rua, L Hipps, K Kopp… - Crop …, 2025 - Wiley Online Library
Golf courses are increasingly affected by water scarcity and climate change. An
understanding of spatial variability of actual evapotranspiration (ETa) and turfgrass quality …

Influence of force reduction within-field variability on peak tibial accelerations using wearable inertial measurement units

CM Burbrink, CM Straw, WF Floyd, A Thomson… - Sports Engineering, 2023 - Springer
Within-field variability of surface characteristics has been found to impact athlete injuries,
performance, and perceptions about a surface. Ankle-worn inertial measurement units allow …

Comparing ground‐based and aerial data at field scale during dry down on golf course fairways

J Friell, C Straw - International Turfgrass Society Research …, 2022 - Wiley Online Library
Spatiotemporal data and analyses are gaining traction in the turfgrass industry as valuable
tools to enable data‐driven management practices, but to date there has been minimal …

[PDF][PDF] Multi-Sensor Data Fusion and Artificial Neural Network to Estimate the Velocity of Sportive Turfgrass in Putting Green Areas

L Parra, PV Mauri, J Lloret, S Yousfi, JF Marín - personales.upv.es
Although the use of sensors is extended in the environmental monitoring, there are some
variables which cannot be directly measured and must be estimated. The velocity of sportive …

[引用][C] Improving Irrigation Efficiency in Sand-capped Turfgrass Systems and Urban Lawns

R Hejl - 2021