In Vivo Human-Like Robotic Phenotyping Of Leaf And Stem Traits In Maize And Sorghum In Greenhouse,
2019
University of Nebraska-Lincoln
In Vivo Human-Like Robotic Phenotyping Of Leaf And Stem Traits In Maize And Sorghum In Greenhouse, Abbas Atefi
Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research
In plant phenotyping, the measurement of morphological, physiological and chemical traits of leaves and stems is needed to investigate and monitor the condition of plants. The manual measurement of these properties is time consuming, tedious, error prone, and laborious. The use of robots is a new approach to accomplish such endeavors, which enables automatic monitoring with minimal human intervention. In this study, two plant phenotyping robotic systems were developed to realize automated measurement of plant leaf properties and stem diameter which could reduce the tediousness of data collection compare to manual measurements. The robotic systems comprised of a four degree …
High‑Throughput Analysis Of Leaf Physiological And Chemical Traits With Vis–Nir–Swir Spectroscopy: A Case Study With A Maize Diversity Panel,
2019
University of Nebraska-Lincoln
High‑Throughput Analysis Of Leaf Physiological And Chemical Traits With Vis–Nir–Swir Spectroscopy: A Case Study With A Maize Diversity Panel, Yufeng Ge, Abbas Atefi, Huichun Zhang, Chenyong Miao, Raghuprakash Kastoori Ramamurthy, Brandi Sigmon, Jinliang Yang, James C. Schnable
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Hyperspectral reflectance data in the visible, near infrared and shortwave infrared range (VIS–NIR– SWIR, 400–2500 nm) are commonly used to nondestructively measure plant leaf properties. We investigated the usefulness of VIS–NIR–SWIR as a high-throughput tool to measure six leaf properties of maize plants including chlorophyll content (CHL), leaf water content (LWC), specific leaf area (SLA), nitrogen (N), phosphorus (P), and potassium (K). This assessment was performed using the lines of the maize diversity panel. Data were collected from plants grown in greenhouse condition, as well as in the field under two nitrogen application regimes. Leaf-level hyperspectral data were collected with …
Water In South Dakota Stakeholder Guided Strategies For Moving Forward,
2019
South Dakota State University
Water In South Dakota Stakeholder Guided Strategies For Moving Forward, Rachel Mcdaniel, John Mcmaine, David Kringen
SDWRI Publications and Reports
The 2017 Eastern South Dakota Water Conference included a stakeholder working session that resulted in over 350 comments. This paper reflects the challenges, goals and action items pertaining to South Dakota’s water resources as identified by the state’s diverse stakeholders.
Biomethane Production From Distillery Wastewater,
2019
University of Nebraska-Lincoln
Biomethane Production From Distillery Wastewater, Zachary Christman
Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research
Distillery wastewater treatment is a great ecological problem, for example, India produces 2.7 billion liters of alcohol that results in 40 billion liters of wastewater. However, this material can be seen as a resource since 11 million cubic meters of biogas at 60% methane could be produced in addition to cleaning the water. The distillery has two options of what to do with the biogas. The first is to use the biogas to fuel the distillery making the production plant more energy efficient and removing some of the need to buy natural gas. The other is to upgrade the biogas …
A Spatially Enhanced Data‐Driven Multimodel To Improve Semiseasonal Groundwater Forecasts In The High Plains Aquifer, Usa,
2019
University of Nebraska‐Lincoln
A Spatially Enhanced Data‐Driven Multimodel To Improve Semiseasonal Groundwater Forecasts In The High Plains Aquifer, Usa, A. Amaranto, Francisco Munoz-Arriola, D. P. Solomatine, G. Corzo
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The aim of this paper is to improve semiseasonal forecast of groundwater availability in response to climate variables, surface water availability, groundwater level variations, and human water management using a two‐step data‐driven modeling approach. First, we implement an ensemble of artificial neural networks (ANNs) for the 300 wells across the High Plains aquifer (USA). The modeling framework includes a method to choose the most relevant input variables and time lags; an assessment of the effect of exogenous variables on the predictive capabilities of models; and the estimation of the forecast skill based on the Nash‐Sutcliffe efficiency (NSE) index, the normalized …
Environmental And Occupational Impacts From U.S. Beef Slaughtering Are Of Same Magnitude Of Beef Foodborne Illnesses On Human Health,
2019
University of Nebraska-Lincoln
Environmental And Occupational Impacts From U.S. Beef Slaughtering Are Of Same Magnitude Of Beef Foodborne Illnesses On Human Health, Shaobin Li, Jeyamkondan Subbiah, Bruce Dvorak
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Foodborne pathogens and occupational hazards are two primary safety concerns for U.S. beef slaughterhouses. The anthropogenic environmental impacts due to intensive resource use and pollution also exert threats to human health. Quantifying human health impacts from various sources remain a grand sustainability challenge for U.S. beef industry. We develop a framework to systematically estimate and compare human health impacts associated with U.S. beef foodborne illnesses from major pathogens and environmental impacts and occupational hazards from U.S. beef slaughtering on a common metric, disability-adjusted life year (DALY). Foodborne illnesses and occupational hazards are estimated by synthesizing published data and methodologies while …
Rapid Profiling Of Soybean Aromatic Compounds Using Electronic Nose,
2019
Tennessee State University
Rapid Profiling Of Soybean Aromatic Compounds Using Electronic Nose, Ramasamy Ravi, Ali Taheri, Durga Khandekar, Reneth Millas
Agricultural and Environmental Sciences Faculty Research
Soybean (Glycine max (L.)) is the world’s most important seed legume, which contributes to 25% of global edible oil, and about two-thirds of the world’s protein concentrate for livestock feeding. One of the factors that limit soybean’s utilization as a major source of protein for humans is its characteristic soy flavor. This off-flavor can be attributed to the presence of various chemicals such as phenols, aldehydes, ketones, furans, alcohols, and amines. In addition, these flavor compounds interact with protein and cause the formation of new off-flavors. Hence, studying the chemical profile of soybean seeds is an important step in understanding …
Introduction To Sorghum Paper Production,
2019
University of Nebraska-Lincoln
Introduction To Sorghum Paper Production, Zachary Christman
Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research
Sorghum is a tall grass used for many commercial products such as fodder and syrup. The 10 to 15 feet stalk of the plant has lower lignin than wood and provides a fiber length of 2.31 mm in the outer covering and 1.38 mm for the leaf. Sorghum fiber makes a high quality, strong paper suitable for printing, packaging and paperboard.
A Feasibility Study Of Industrial Hemp On Virginia Commercial Poultry Production,
2019
James Madison University
A Feasibility Study Of Industrial Hemp On Virginia Commercial Poultry Production, Aaron Sloss
Senior Honors Projects, 2010-2019
This project sought to characterize industrial hemp as a potential competitive agricultural commodity for the state of Virginia. Specifically, industrial hempseed was evaluated as a feedstock for the commercial broiler (meat-chickens) industry in Virginia.
Data were gathered to identify both the advantages and disadvantages of industrial hempseed as a nutritional resource for broilers. Key nutritional compositions were identified, quantified, and compared to several common feed ingredients, such as soybean, wheat, corn, and sorghum. Hempseed (whole seed) was found to have a considerably high amino acid content, protein, fiber, and metabolizable energy – making it an attractive alternative to conventional feedstuffs. …
Self-Assembled Nanoantenna Enhance Optical Activity And Transport In Scalable Thin Films And Interfaces,
2019
University of Arkansas, Fayetteville
Self-Assembled Nanoantenna Enhance Optical Activity And Transport In Scalable Thin Films And Interfaces, Keith Richard Berry Jr.
Graduate Theses and Dissertations
Continued population growth and the decrease of existing energy platforms demands long-term solutions for development and implementation of scalable plasmonic metamaterials for energy and agricultural applications. Self-assembled nanoantenna into random and ordered arrangements are advanced herein for optical and thermal enhancements in scalable thin film. An analytical approach to estimating the thermal dynamics of random arrangements of nanoantenna resulted in estimates within 30% across a range of geometric parameters, nanoantenna-containing media, and thermal parameters. Multimodal thermal dynamics of polymer thin films containing gold nanoparticles (AuNPs) were observed through the natural log of the dimensionless temperature driving force plotted versus time …
Design Of Remote Datalogger Connection And Live Data Tweeting System,
2019
University of Arkansas, Fayetteville
Design Of Remote Datalogger Connection And Live Data Tweeting System, Zachary Wofford
Biological and Agricultural Engineering Undergraduate Honors Theses
Low-Impact Development (LID) is an attempt to sustainably respond to the potential hazards posed by urban expansion. Green roofs are an example of LID design meant to reduce the amount of runoff from storm events that are becoming more intense and less predictable while also providing insulation to buildings. LID has not yet been widely adopted as it is often a more expensive alternative to conventional infrastructure (Bowman et. al., 2009). However, its benefits are apparent. The University of Arkansas Honors College awarded a grant to research the large green roof atop Hillside Auditorium. One part of this grant is …
Internal Design Of A Hydroponics Greenhouse For Tri Cycle Farms,
2019
University of Arkansas, Fayetteville
Internal Design Of A Hydroponics Greenhouse For Tri Cycle Farms, Sarah Gould
Biological and Agricultural Engineering Undergraduate Honors Theses
Hydroponics is the agricultural technique of growing plants without soil, using other growing media and added nutrients in a solvent. It is an attractive agricultural method over conventional agriculture because it is more water efficient, is less labor intensive, yields higher quality crops in less time, and is easier to control. According to the Digital Journal, “hydroponics crop value is anticipated to grow to USD 27.29 Billion by 2022 at an estimated CAGR of 6.39% from 2015 to 2020” (Sawant, 2016). Alongside this growing market acceptance for hydroponics, there is also a local demand that requires only a small transportation …
Lighting And Economic Considerations For A Hydroponic S-Based Greenhouse At Tri Cycle Farms,
2019
University of Arkansas, Fayetteville
Lighting And Economic Considerations For A Hydroponic S-Based Greenhouse At Tri Cycle Farms, Laura Gray
Biological and Agricultural Engineering Undergraduate Honors Theses
Hydroponics is an agricultural technology that involves growing plants without soil, instead using other growth media with added nutrients, typically inside a controlled facility such as a greenhouse. Hydroponics-based agriculture has a number of benefits, namely that it is more water efficient, requires less intensive labor, yields higher quality crops consistently in shorter time, and is easier to control. It also has the potential to be economically advantageous, due to its ability to grow certain crops in the off-season. In Fayetteville, Arkansas, a non-profit urban farm known as Tri Cycle Farms has been seeking a way to design, build, and …
Effectiveness Of Titanium And Iron Nanoparticles In Treating M. Aeruginosa For Harmful Algal Bloom Remediation,
2019
University of Arkansas, Fayetteville
Effectiveness Of Titanium And Iron Nanoparticles In Treating M. Aeruginosa For Harmful Algal Bloom Remediation, Natalie Von Tress
Biological and Agricultural Engineering Undergraduate Honors Theses
Harmful Algal Blooms (HABs) are a growing issue worldwide, posing harm to both aquatic ecosystems and drinking water quality. This issue could be potentially mitigated using nanoparticle (NP) treatment, simultaneously removing cyanobacteria and associated cyanotoxins in HABs. This research seeks to discern the effectiveness of using titanium dioxide and iron (III) oxide NP treatment at removing cyanobacteria via flocculation and sedimentation. Each NP at 25 mg/L and 50 mg/L were used to treat suspended culture of Microcystis aeruginosa, the representative cyanobacteria, up to 72 hours. Cell concentration and morphology in the supernatant were measured via a Coulter counter and …
Simulating Delayed Flood And Alternate Wetting And Drying Rice Production In Arkansas Using Apex,
2019
University of Arkansas, Fayetteville
Simulating Delayed Flood And Alternate Wetting And Drying Rice Production In Arkansas Using Apex, Jaden Tatum
Biological and Agricultural Engineering Undergraduate Honors Theses
Rice is a staple food for billions of people, and rice production will need to grow with global populations. One potential solution to decrease the environmental impacts associated with rice production is alternate wetting and drying (AWD) management which, as opposed to sustained flooding, allows a reduction of water use and methane emissions. Studies into AWD have shown that yield levels may be conserved when using this practice, which would be necessary for widespread implementation. Modeling AWD management changes successfully would help to determine where and to what extent this practice may be effective in the US. The management and …
Ecological Co2 Flux Of A Green Roof Ecosystem And A Typical Grassland Ecosystem,
2019
University of Arkansas, Fayetteville
Ecological Co2 Flux Of A Green Roof Ecosystem And A Typical Grassland Ecosystem, Madeline Oxner
Biological and Agricultural Engineering Undergraduate Honors Theses
The Hillside Auditorium Green Roof is a low impact development feature on the University of Arkansas campus. It retains storm water and allows plants living on the roof to take up and transpire the water. Green roofs work to mimic natural ecosystems in urban environments. A key property is ecosystem respiration, which plays a large role in the global carbon cycle and is an important biologic activity indicator. The ecosystem respiration of Hillside Auditorium Green Roof was compared to a typical grassland ecosystem at the University of Arkansas farm to determine how closely the green roof is able to mimic …
Quantifying Litter Decomposition Rates On A Semi-Intensive Green Roof,
2019
University of Arkansas, Fayetteville
Quantifying Litter Decomposition Rates On A Semi-Intensive Green Roof, Eli Lasalle
Biological and Agricultural Engineering Undergraduate Honors Theses
The overall goal of this study was to provide a measure of the decomposition rate constant on a semi- intensive green roof located in Fayetteville, Arkansas. The specific approach chosen was the use of the Tea Bag Index (TBI), a standardized plant litter decomposition test. There was some heterogeneity observed on site and the locations of samples tested were chosen based on this. Additional laboratory tests were conducted in order to determine whether there would be a large impact of temperature on decomposition or if it would be outweighed by other factors. The temperatures compared were 5°C, 20°C, and 30°C. …
Rating Curve Development For The Upper James Fork, Lower James Fork And Hinkle Jones Creek In The Upper Poteau River Watershed In Arkansas,
2019
University of Arkansas, Fayetteville
Rating Curve Development For The Upper James Fork, Lower James Fork And Hinkle Jones Creek In The Upper Poteau River Watershed In Arkansas, Meagan O'Hare
Biological and Agricultural Engineering Undergraduate Honors Theses
Stream discharge is necessary to estimate loads and calibrate and validate watershed models. Access to long-term water quality data and discharge measurements allows for modeling of water quality changes across a watershed over time. However, discharge monitoring stations are often expensive to install and maintain, particularly in small rivers. A more cost-effective method for monitoring streamflow has been implemented in the Upper Poteau River Watershed (UPRW) in Arkansas. This method consists of an SonTek acoustic doppler instrument for measuring storm stream flow, with is combined with manual baseflow discharge measurements. The combined stormflow and baseflow measurements are combined with a …
Predictive Modeling Of Fate And Transport Of Three Prevalent Contaminants In Midwest Agroecosystem Surface Waters: Nitrate-N, Atrazine, And Escherichia Coli,
2019
University of Nebraska-Lincoln
Predictive Modeling Of Fate And Transport Of Three Prevalent Contaminants In Midwest Agroecosystem Surface Waters: Nitrate-N, Atrazine, And Escherichia Coli, Samuel Hansen
Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research
The majority of streams and rivers in the United States (U.S.) are ecologically impaired, or threatened by anthropogenic stressors. Recent reports have found atrazine in drinking water to be associated with increased birth defects and incidences of Non-Hodgkin’s Lymphoma, with higher levels of significance from exposure to both atrazine and nitrate-N. In contrast, recent illnesses from E. coli contaminating vegetables that originated from irrigation water has increased awareness of identifying sources of E. coli entering irrigation reservoirs.
Methods to accurately predict atrazine and E. coli occurrence and potential sources in waterways continue to limit the identifying appropriate and effective prevention …
Uumanned Aerial Vehicle Data Analysis For High-Throughput Plant Phenotyping,
2019
University of Nebraska-Lincoln
Uumanned Aerial Vehicle Data Analysis For High-Throughput Plant Phenotyping, Jiating Li
Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research
The continuing population is placing unprecedented demands on worldwide crop yield production and quality. Improving genomic selection for breeding process is one essential aspect for solving this dilemma. Benefitted from the advances in high-throughput genotyping, researchers already gained better understanding of genetic traits. However, given the comparatively lower efficiency in current phenotyping technique, the significance of phenotypic traits has still not fully exploited in genomic selection. Therefore, improving HTPP efficiency has become an urgent task for researchers. As one of the platforms utilized for collecting HTPP data, unmanned aerial vehicle (UAV) allows high quality data to be collected within short …
