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Articles 1 - 9 of 9
Full-Text Articles in Engineering
Machine Learning Approach To Simulate Soil Co2 Fluxes Under Cropping Systems, Toby A. Adjuik, Sarah C. Davis
Machine Learning Approach To Simulate Soil Co2 Fluxes Under Cropping Systems, Toby A. Adjuik, Sarah C. Davis
Biosystems and Agricultural Engineering Graduate Research
With the growing number of datasets to describe greenhouse gas (GHG) emissions, there is an opportunity to develop novel predictive models that require neither the expense nor time required to make direct field measurements. This study evaluates the potential for machine learning (ML) approaches to predict soil GHG emissions without the biogeochemical expertise that is required to use many current models for simulating soil GHGs. There are ample data from field measurements now publicly available to test new modeling approaches. The objective of this paper was to develop and evaluate machine learning (ML) models using field data (soil temperature, soil …
Energy And Economic Modeling Of Stillage Dewatering Processes In Kentucky Bourbon Distilleries, William Brennan
Energy And Economic Modeling Of Stillage Dewatering Processes In Kentucky Bourbon Distilleries, William Brennan
Theses and Dissertations--Mechanical Engineering
Stillage is a byproduct of alcohol distillation and must be managed in all distilleries to sustain operations. In the United States, fuel ethanol plants typically convert all stillage into Dried Distillers’ Grains with Solubles (DDGS). This process and its variations are well known. Typical stillage management approaches are not well known, however, for the Kentucky bourbon industry. A survey of stillage management approaches in operational bourbon distilleries was conducted. Process modeling was performed to evaluate the energy and economic considerations of the available stillage dewatering methods for a 7 Million Original Proof Gallon (MMOPG) distillery. Monte Carlo simulations were performed …
Lignin Valorization Via Reductive Depolymerization Using Promoted Nickel Catalysts And Sub- And Supercritical Methanol, Julia Parker
Lignin Valorization Via Reductive Depolymerization Using Promoted Nickel Catalysts And Sub- And Supercritical Methanol, Julia Parker
Theses and Dissertations--Biosystems and Agricultural Engineering
While lignin has been regarded as the most promising renewable feedstock for the sustainable manufacture of aromatic compounds, lignin valorization is necessary to improve the economic viability of biorefineries. Reductive catalytic fractionation (RCF), which combines delignification and lignin depolymerization into a single stage while maintaining the structure and integrity of the cellulose component, has evolved as an effective method for processing biomass. The ability of Cu and Fe to promote the performance of a 20% Ni/alumina catalyst when converting native lignin to alkylphenols by RCF in sub- and supercritical methanol was tested. The effectiveness of lignin extraction as measured by …
Implications To Tap And Stream Water Chemistry Due To Variations In Sampling Locations And Watershed Land Use, Dayana Rodriguez
Implications To Tap And Stream Water Chemistry Due To Variations In Sampling Locations And Watershed Land Use, Dayana Rodriguez
Theses and Dissertations--Biosystems and Agricultural Engineering
The Kentucky River Basin, which is in the Eastern Kentucky Coal Field region, is a rural region with sparse population distribution and a history of water quality impairments. The long history of mining activity in the Commonwealth has not only left a mark on the area’s economy, but it has also shaped the environment. Changes in land use from forested areas to surface mining have been shown to significantly change water chemistry and hydrology. To date, there is limited information regarding the potential exposure and introduction of heavy metals and sulfate entering rural water treatment plants, resulting in a notable …
Classifying And Mapping Aquatic Vegetation In Heterogeneous Stream Ecosystems Using Visible And Multispectral Uav Imagery, Rozalia Agioutanti
Classifying And Mapping Aquatic Vegetation In Heterogeneous Stream Ecosystems Using Visible And Multispectral Uav Imagery, Rozalia Agioutanti
Theses and Dissertations--Biosystems and Agricultural Engineering
The need for assessment and management of aquatic vegetation in stream ecosystems is recognized given the importance in impacting water quality, hydrodynamics, and aquatic biota. However, existing approaches to monitor are laborious and its currently not feasible to track spatial and temporal differences at broad scales. The objective of this study was therefore to map and classify aquatic vegetation of a shallow stream with heterogenous mixtures of emergent and submerged aquatic vegetation. Data was collected in the Camden Creek watershed within the Inner Bluegrass Region of central Kentucky. The use of unmanned aerial vehicles (UAVs) was employed and both visible …
Exploration Of Lignin-Based Superabsorbent Polymers (Hydrogels) For Soil Water Management And As A Carrier For Delivering Rhizobium Spp., Toby Adjuik
Theses and Dissertations--Biosystems and Agricultural Engineering
Superabsorbent polymers (hydrogels) as soil amendments may improve soil hydraulic properties and act as carrier materials beneficial to soil microorganisms. Researchers have mostly explored synthetic hydrogels which may not be environmentally sustainable. This dissertation focused on the development and application of lignin-based hydrogels as sustainable soil amendments. This dissertation also explores the development of pedotransfer transfer functions (PTFs) for predicting saturated hydraulic conductivity using statistical and machine learning methods with a publicly available large data set. A lignin-based hydrogel was synthesized, and its impact on soil water retention was determined in silt loam and loamy fine sand soils. Hydrogel treatment …
Nondestructive Multivariate Classification Of Codling Moth Infested Apples Using Machine Learning And Sensor Fusion, Nader Ekramirad
Nondestructive Multivariate Classification Of Codling Moth Infested Apples Using Machine Learning And Sensor Fusion, Nader Ekramirad
Theses and Dissertations--Biosystems and Agricultural Engineering
Apple is the number one on the list of the most consumed fruits in the United States. The increasing market demand for high quality apples and the need for fast, and effective quality evaluation techniques have prompted research into the development of nondestructive evaluation methods. Codling moth (CM), Cydia pomonella L. (Lepidoptera: Tortricidae), is the most devastating pest of apples. Therefore, this dissertation is focused on the development of nondestructive methods for the detection and classification of CM-infested apples. The objective one in this study was aimed to identify and characterize the source of detectable vibro-acoustic signals coming from CM-infested …
Assessing Machine Learning Utility In Predicting Hydrologic And Nitrate Dynamics In Karst Agroecosystems, Timothy Mcgill
Assessing Machine Learning Utility In Predicting Hydrologic And Nitrate Dynamics In Karst Agroecosystems, Timothy Mcgill
Theses and Dissertations--Biosystems and Agricultural Engineering
Seasonal hypoxia in the Gulf of Mexico and harmful algal blooms experienced in many inland freshwater bodies is partially driven due to excessive nitrogen loading seen from agricultural watersheds. Within the Mississippi/Atchafalaya River Basin, many areas are underlain with karst features, and efforts to reduce nitrogen contributions from these areas have had varying success, due to lacking a complete understanding of nutrient dynamics in karst agricultural systems. To improve the understanding of nitrogen cycling in these systems, 35 months of high resolution in situ water quality and atmospheric data were collected and fed into a two-hidden layer extreme learning machine …
The Response Of Beef Cattle To Disturbances From Unmanned Aerial Vehicles (Uavs), Gabriel Abdulai
The Response Of Beef Cattle To Disturbances From Unmanned Aerial Vehicles (Uavs), Gabriel Abdulai
Theses and Dissertations--Biosystems and Agricultural Engineering
Unmanned aerial vehicles (UAVs) are increasingly becoming common in animal agriculture. However, research regarding the impact of UAV disturbance on animal wellbeing is lacking or limited. The goal of this study was to investigate the effect of UAV flights on beef cattle by measuring cattle heart and movement rate when introduced to single or multiple UAV flights. A total of 16 -18 crossbred beef heifers were introduced to different flights patterns at between 5 and 9 m above ground level (AGL) at approximately 1 to 2 m/s horizontal velocity for 4 weeks with flights repeated 3 days per week. Results …