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fertilizer and irrigation applications to optimize cotton yield while lowering input costs. Experiments are conducted in the field, in a greenhouse, and in specialized PGR 15 plant growth chambers
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Project: The overall research goal of the lab is to develop, improve, optimize, and disseminate aflatoxin biocontrol technologies to growers. This is accomplished through a combination of laboratory and
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through scientific excellence. Research Project: The overall research goal of the lab is to develop, improve, optimize, and disseminate aflatoxin biocontrol technologies to growers. This is accomplished
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markers and development of rapid-cycling breeding systems to support the process of continuous germplasm improvement, discovery trait research and methodology optimization to reach greater breeding
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optimizing trap placements and pesticide applications, determining release sites for parasitoids, and setting quarantine boundaries after incursions. We are uniquely positioned to collect insect movement data
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dedicated to discovering, evaluating, optimizing, and advancing the understanding of chemical and acute non-kinetic threats, as well as medical countermeasures for safe and effective prophylaxis or treatment
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data science tools and techniques A demonstrated ability to use a statistical programming language such as R or Python for non-linear data fitting, and optimization models such as GAMS. Stipend
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gain learning experience in developing optical fiber gas sensors, synthesizing and testing various gas sensing materials, testing and optimizing sensor performance for applications in gas sensing
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Organization DEVCOM Army Research Laboratory Reference Code ARL-C-CISD-300144 Description About the Research Current approaches optimize machine learning training largely by exploiting Deep Neural
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Fusion of information from heterogeneous sensors for robot missions Optimization of complex algorithms for computationally limited platforms Experimentation and validation methods in robotics Adaptive