Research

Proximal and remote sensing on monitoring turfgrass performance and stress detection

Explore the feasibility of using handheld devices and unmanned aerial vehicles (a.k.a., drones) to monitor turfgrass growth, disease and weed infection. We also aim to understand the spatial and temporal variabilities between and within turfgrass fields on a large scale.

Seek innovative strategies for reducing resource inputs on turf

Combine field observed data, remote sensing technologies, big data analysis and machine learning models to provide the "right amount" fertilizer and chemical needs for optimizing turfgrass conditions and protecting resource.

Effect of Soil Chemical, Physical and Biological Characteristics on Turfgrass Growth

Variations in soil chemical, physical and biological properties affect turfgrass growth due to different nutrient supply, water holding capacity, pH and etc. We perform lab and field studies to understand the relationship between soil and turfgrass growth.

Evaluate Abiotic Stress of Turfgrass and update management practice

As turfgrass genetics have evolved dramatically in recent decades, the corresponding management practices must be amended. The research will focus on evaluating commonly used warm- and cool-season grass, understanding their growth and resource needs, and improving the current management practices.

Quantify ecosystem service of turfgrass landscape

Becasue turfgrass holds an important component of the urban and rural landscape, it is necessary to understand how turfgrass affects our planet. We use ecosystem models and conduct survey to assess the ecosystem services and disservices of turfgrass stands.

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