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  <title><![CDATA[PhD Defense by Andrew Sharkey]]></title>
  <body><![CDATA[<p>School of Civil and Environmental Engineering<br>Ph.D. Thesis Defense Announcement<br>Developing Robust Agricultural Kinetic Models:<br>The Hydroponic Cultivation of L. Sativa Lettuce in<br>Controlled Environment Agriculture<br>By Andrew Sharkey<br>Advisor:<br>Dr. Yongsheng Chen<br>Committee Members:&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Dr. Xing Xie (CEE)<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Dr. Ching-Hua Huang (CEE)<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Dr. Ameet Pinto (CEE)<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Dr. Rhuanito Ferrarezi (UGA Dept. of Horticulture)<br><br>Date and Time: August 11, 2025. &nbsp;1pm-3pm EST<br>Location: Price Gilbert Memorial Library #4222 (Dissertation Defense Room)<br>Teams Meeting ID: &nbsp;279 728 293 764 0<br>Password: &nbsp;Ui762w4Q</p><p><br>ABSTRACT<br>The lifecycle of fertilizers, as the foundational components of agriculture, is<br>riddled with inefficiencies including expensive and limited-resource supply,<br>centralized agricultural production, and many harmful environmental impacts.<br>Fortunately, hydroponics and Controlled Environment Agriculture (CEA) offer<br>potential solutions to issues of both centralized agricultural production and<br>harmful environmental impacts. To resolve the remaining issues, wastewater can be recovered to provide nutrients for new generations of agricultural crops<br>destined for human consumption.<br>However, in order to fully capitalize on these potential solutions, farmers<br>and engineers require improved models which track both nutrient uptake and<br>biomass growth. Such fundamental models, based on Michaelis-Menten and<br>Monod reaction kinetics, have been rigorously studied for microbial populations,<br>but fewer studies have applied these fundamentals to agricultural populations.<br>Furthermore, agricultural populations require unique modifications before models<br>are applicable to wastewater nutrient recovery efforts.<br>Hydroponic experiments cultivated Bibb lettuce with synthetic nutrient<br>solutions based on Modified Sonneveld’s Solution, with treatments focused on<br>individually varying each of three limiting nutrients: nitrogen (N), phosphorus (P),<br>and potassium (K). Researchers analyzed both plant tissue and water samples to<br>quantify changes in relative growth rates, nutrient uptake rate, and lettuce tissue<br>composition as plants matured in each treatment. These results were used to<br>incrementally address gaps to build a robust agricultural kinetic model.<br>This model pioneers the characterization of temporally dynamic agricultural<br>growth rates, incorporates multiple limiting nutrients, and incrementally builds<br>agricultural biomass to reflect the variable nutrient supply expected of reclaimed<br>domestic wastewater. Analysis of nutrient uptake identifies ideal nutrient<br>concentrations for hydroponic lettuce, and identifies minimum nutrient<br>concentrations required to grow compositionally healthy and nutritious lettuce.<br>Meanwhile, the resulting models explain transitions between life stages and<br>identify optimal harvest days for maximizing plant biomass. While these results<br>speak directly to lettuce grown in vertical hydroponics, the completed<br>methodology can readily apply to other vegetables, nutrients, and environmental<br>conditions.<br>The resulting models are finally validated against three treatments of<br>variable nutrient supply, analyzed against alternative nutrient-based agricultural<br>models, and evaluated against expected domestic wastewater nutrient<br>concentrations. This research allows and exemplifies practical application of<br>recycling nutrients from wastewater, significantly increasing prediction accuracy,<br>while relying solely on relatively non-invasive nutrient measurements from<br>hydroponic water samples.</p>]]></body>
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