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validate algorithms for estimating heat stress, counting animals, and estimating mass in real-time. Although research is needed to integrate One Health assessments across the soil-pasture-animal continuum
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be focused on learning how to develop algorithms, performing biochar characterization tests, and characterizing microbial communities that colonize biochar in different ecosystems. Learning Objectives
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of incorporating sensors, spectroscopy, imaging, and machine learning techniques into the postharvest processing workflows and/or pre-harvest evaluation of food quality and safety. The participant will have the
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technologies such as UAVs, drones, spectroradiometers with multispectral and hyperspectral sensors for detecting and mapping herbicide resistant weeds in crop production systems. Learn integrated weed management
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. The participant may also have the opportunity to be involved with the development of novel algorithms, bioinformatic tools or analytical pipelines that quantify the diversity of RNA viruses that may be deployed in
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using sensors, data loggers, and thermal images Lab experiments examining how nutrition affects performance and physiological traits Field experiments quantifying behavior of insects Mentor(s): The mentor
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technologies such as UAVs, drones, spectroradiometers with multispectral and hyperspectral sensors for detecting and mapping herbicide resistant weeds in crop production systems. Learn integrated weed management
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be focused on learning how to develop algorithms, performing biochar characterization tests, and characterizing microbial communities that colonize biochar in different ecosystems. Learning Objectives
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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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also become familiar with the integration of a LIBS system into a liquid process sensing and control apparatus and multi-sensor devices for identification and measurement of critical minerals in natural