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This paper explores the ability to predict yields of soybeans based on genetics and environmental factors. Based on the biology of soybeans, it has been shown that yields are best when soybeans grow within a certain temperature range. The event a soybean is exposed to temperature outside their accepted range

This paper explores the ability to predict yields of soybeans based on genetics and environmental factors. Based on the biology of soybeans, it has been shown that yields are best when soybeans grow within a certain temperature range. The event a soybean is exposed to temperature outside their accepted range is labeled as an instance of stress. Currently, there are few models that use genetic information to predict how crops may respond to stress. Using data provided by an agricultural business, a model was developed that can categorically label soybean varieties by their yield response to stress using genetic data. The model clusters varieties based on their yield production in response to stress. The clustering criteria is based on variance distribution and correlation. A logistic regression is then fitted to identify significant gene markers in varieties with minimal yield variance. Such characteristics provide a probabilistic outlook of how certain varieties will perform when planted in different regions. Given changing global climate conditions, this model demonstrates the potential of using data to efficiently develop and grow crops adjusted to climate changes.
ContributorsDean, Arlen (Co-author) / Ozcan, Ozkan (Co-author) / Travis, Daniel (Co-author) / Gel, Esma (Thesis director) / Armbruster, Dieter (Committee member) / Parry, Sam (Committee member) / Industrial, Systems and Operations Engineering Program (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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As the move towards sustainable urbanism grows, understanding how the city has previously been envisioned and designed will be useful to moving forward. This work examines the legacy of urban design theories, what these theories have implied about what the city should be, and their sustainability consequences. Noticing three prominent

As the move towards sustainable urbanism grows, understanding how the city has previously been envisioned and designed will be useful to moving forward. This work examines the legacy of urban design theories, what these theories have implied about what the city should be, and their sustainability consequences. Noticing three prominent urban design visions of the city, the technological city (as proposed in 1922 by Le Corbusier's Ville contemporaine and later in 1933 by his Ville Radieuse (The Radiant City), and in 1935 by Frank Lloyd Wright's' Broadacre City), the social city (as explored in 1961 by Jane Jacobs and in 1976 by Edward Relph of the University of Chicago), and the ecological city (as expounded upon in 1924 by both Lewis Mumford and in 1969 by Ian McHarg), I have newly applied the social-ecological-technical systems framework (SETS) to help classify and analyze these urban design theories and how they have mixed to create hybrid perspectives in more recent urban design theory. Lastly, I have proposed an urban design theory that envisions the sustainable city as an ongoing process. Hopefully, this vision that will hopefully be useful to the future of sustainable development in cities, as will a more organized understanding of urban design theories and their sustainability outcomes.
ContributorsWeber, Martha Stewart (Author) / Coseo, Paul (Thesis director) / Larson, Kelli (Committee member) / Industrial, Systems and Operations Engineering Program (Contributor) / The Design School (Contributor) / School of Geographical Sciences and Urban Planning (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05