Research & Extension Overview:
Our research group works on a variety of projects related to irrigation and water management using different approaches, including, but not limited to, advanced data acquisition & mining, machine learning, remote sensing, and GIS & GPS technologies.
Current Projects:
Optical and thermal remote sensing of turfgrass response to different deficit irrigation strategies in central and southern CA (2017-2019)
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There are promising reports in the literature regarding the use of remote sensing techniques to monitor crop stress and enhance irrigation management. Recent advancements in thermal imaging using smartphone-attached cameras and affordable handheld devices as well as multispectral and hyperspectral UAS based imaging systems may provide an opportunity for widespread adoption of remote sensing based techniques for urban water conservation and landscape irrigation management. This project aims at exploring the potential applications of novel remote sensing techniques in urban irrigation and water management.
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Advancing urban irrigation management to enhance water use efficiency, drought mitigation, and environmental protection (2018-2021)
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This project will develop and disseminate scientific knowledge, practical recommendations and tools for sustainable urban irrigation management through field research trials, laboratory analyses, and computer modeling. Multiple research and extension activities will be synergized, conducted and managed by a team of faculty, extension specialists and farm advisors.
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Enhancing site-specific turf irrigation management and developing turf deficit irrigation strategies using soil moisture sensors, smart ET-based irrigation controllers, and remote sensing (2018-2020)
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Much of the scientific research on application and reliability of smart irrigation controllers in recent years has been done in humid regions. Therefore, there remains an urgent demand to evaluate cutting edge commercially available smart controllers to determine their ease of use, reliability, and ability to help conserve water and enhance water use efficiency, the main objective of this project. In addition, soil water dynamics and turf spectral responses to multiple levels of water stress will be studied using soil moisture sensors and UAS based remote sensing.
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Previous Projects:
Accounting for salinity leaching in the application of recycled water for landscape irrigation (2017-2018)
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Recycled water is increasingly being recognized as an important source of water supply and is used by some municipalities as a resource for landscape irrigation, decorative fountains and crop irrigation. The objective of this project is to review the recycled water irrigation principles and propose a simple model to account for salinity leaching in the current irrigation application regulations articulated in The Model Water Efficient Landscape Ordinance (MWELO).
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