DAO LAB'S RESEARCH PROGRAM
The number, degree, and duration of plant stressors are increasing under climate change. Plant environmental stress manifests as alterations to individual plant ecophysiology, and its effects can spread to larger spatial scales and affect entire ecosystems. The plant-disturbance interactions are spatio-temporally heterogeneous and are challenging to monitor over large spatial scales. Such challenges can be overcome using remote sensing data. Dao Lab explores how plant-disturbance interactions and plant chemical response at gene and species levels impact landscape-scale ecosystem functioning and biodiversity by integrating multi-source remote sensing, genetic and molecular methods, biological modeling, and machine learning. Areas of interest Plant ecophysiology, plant-disturbance interactions, invasive species, precision agriculture, biodiversity, remote sensing, geomatic engineering, geospatial science, machine learning, data fusion, image processing, object-based image analysis. |
April 2024: Our undergraduate student Emma Hoopes presented her research (co-authored by Sai Pennam) at Colorado State University CURC student symposium using machine learning and close-range hyperspectral imaging in plant disease detection and characterization in collaboration with Dr. Kevin Dorn from USDA. Her research is supported by USDA-ARS and the Undergraduate Research Fellowship from the the College of Agricultural Sciences. Emma's presentation and poster can be found HERE.
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November 2023: Congratulations to our undergraduate researcher Emma Hoopes on being awarded the CAS Undergraduate Research Fellowship from the College of Agricultural Sciences. Emma will conduct her internship project that uses hyperspectral remote sensing and data science to assess and characterize viral diseases in Colorado winter wheat in Dao Lab in Spring 2024.
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November 2023: We are happy to share that our proposal "Developing a Commercial High-Throughput Crop Disease Monitoring System with Drone Hyperspectral Imaging and Machine Learning" has been funded by the Colorado Office of Economic Development and International Trade (OEDIT) through the Advanced Industries Proof-of-Concept grant program, administered by STRATA.
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January 31, 2023: We are thrilled to share that Dr. Phuong Dao will be joining the Department of Agricultural Biology at Colorado State University as an Assistant Professor of Computational Agricultural Biology (focusing on remote sensing of precision agriculture) from August 2023. Dr. Dao will also lead the development of the Undergraduate Minor program in Agricultural Data Science of the department.
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