Biological & Environmental Engineering Professional Masters Projects

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    A Potential Liquid Supplement to Promote Cardiovascular Health
    Hashmall, Joseph (2021-05)
    L-citrulline is an amino acid which has been investigated for having potential human health benefits. It is of particular interest for its impacts on smooth muscle, skeletal muscle, and the cardiovascular systems. This project is the production of a liquid supplement that incorporates a L-citrulline formula in a way that will be suitable for consumers. Trial formulations were performed in food labs at Cornell University. The purpose was to make a fluid that has permissible hedonic properties and is well suited to abide by FDA regulation of dietary supplements. Hundreds of combinations were tried and tested for pH, temperature manipulation, and stability. The resulting product is one that mimics the flavor profile of lemonade, possesses the bioavailability of amino acids found in watermelon, and L-citrulline levels that are enhanced in comparison to anything found in nature.
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    Estimating Aboveground Biomass Using Remote Sensing Data and Google Earth Engine
    Wang, Hanyang (2021-12)
    Grassland is an essential component of terrestrial ecosystems. Biomass is a key indicator of ecosystem quality. It is of great significance to estimate the grass biomass yield effectively and accurately for the grassland management and utilization of grass resources and other related research. In order to pursue efficient and rapid estimation of the above-ground biomass of grassland, this study aims to find the relationship between satellite imagery data and ground survey biomass data through machine learning and Google Earth Engine (GEE) platform; and estimate the aboveground biomass using random forest (RF) regression algorithm and remote sensing data. In this study, a 16-acre research site was used as the research area. After evaluating the RF model performance, the R^2 of this model is about 0.75. The prediction of grass biomass yield in 2021 was presented. Finally, the advantages and disadvantages of the model and improvement methods are discussed.