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Agricultural Research Service in the Food Systems Research Unit in Burlington, VT, focuses on characterizing long-term phenology of perennial pasturelands of the Northeastern US, using remote sensing tools, and
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. Under the guidance of a mentor, the fellow will participate in a project that combines both in-situ and remote sensing data to develop novel monitoring techniques to measure within-field variability in
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of Agriculture (USDA), Agricultural Research Service (ARS), Hydrology and Remote Sensing Laboratory. This opportunity is in Beltsville, Maryland. The Agricultural Research Service (ARS) is the U.S. Department
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-automated processing pipeline capable of analyzing high-throughput plant phenotyping and soil-sensing data to extract key phenotypic traits. Advancing crop productivity within sustainable cropping systems
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agricultural discoveries through scientific excellence. Research Project: The overall goal of this engineering project is to develop nondestructive sensing-based tools and techniques to reduce food safety risks
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operations, senior scientists within the IC annually pinpoint vital research topics spanning diverse disciplines, from artificial intelligence, quantum computing and sensing, biotechnology, and energy and
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independently being applied in the various species to modify traits such as seed size, dormancy, reduction of seed dispersal, changes in taste or toxic compounds, or changes in photoperiod sensitivity or plant
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antinutritive phytochemicals which plants generate to prevent herbivory through bitter taste, and/or inhibition of hydrolytic enzymes (amylase-trypsin inhibitors, ATI). While great strides have been made to use
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industry $1.5B. Current Institutional Animal Care and Use Committee (IACUC) protocols do not allow for the use of remotely sensed data for daily animal checks; though, unmanned aerial vehicles (UAV)-based
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journals. The participant will be involved in the design of field trials, planting field trials, superimposition of stress factors, collection and analysis of visual and proximal-sensing data