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Techno-Economic Feasibility Of Polyhydroxybutyrate (Phb) Production From Corn Stover, Jey-R Ventura, Ruby Lynn Ventura 2024 Biomaterials and Environmental Engineering Laboratory, Department of Engineering Science, College of Engineering and Agro-Industrial Technology, University of the Philippines Los Baños, College, Los Baños, Laguna, 4031, Philippines

Techno-Economic Feasibility Of Polyhydroxybutyrate (Phb) Production From Corn Stover, Jey-R Ventura, Ruby Lynn Ventura

The Philippine Agricultural Scientist

This research evaluated the techno-economic feasibility of polyhydroxybutyrate (PHB) production using corn stover as a substrate for the fermentation process. The target PHB plant production was set at 1000 t PHB per yr, with a daily production of about 3 t PHB. The required corn stover biomass was around 12 000 t per yr. The economic analysis of this study suggested that 91.13 M US$ is needed to put up the targeted plant production capacity, with 94% of the total investment to be allotted to the direct fixed capital cost. Annual operating cost was rated at 4.71 M US$ per …


Soil Nitrate Prediction Using Ftir-Atr, Vis-Nir, And Raman Spectroscopy, Sabiha Ferdous 2024 University of Nebraska-Lincoln

Soil Nitrate Prediction Using Ftir-Atr, Vis-Nir, And Raman Spectroscopy, Sabiha Ferdous

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Fourier transform infrared spectroscopy (FTIR) combined with Attenuated total reflectance (ATR), Visible-Near Infrared spectroscopy (Vis-NIR), and Raman spectroscopy (RS) are non-destructive techniques for rapid determination of nitrogen compounds in soil. Leveraging FTIR-ATR and Vis-NIR spectra using partial least squares regression (PLSR) modeling, the study aims to predict soil nitrate content and explored the feasibility of Raman spectroscopy to detect nitrate (NO3-), nitrite (NO2-), and ammonium (NH4+) in soil. Soil samples were collected from four different fields, dried, sieved (2mm), and then used for collecting spectra (FTIR-ATR and Vis-NIR). Laboratory analysis was …


A Systematic Review Of Fourth Industrial Revolution Technologies In Smart Irrigation: Constraints, Opportunities, And Future Prospects For Sub-Saharan Africa, Joshua Wanyama, Erion Bwambale, Shafik Kiraga, Abia Katimbo, Prossie Nakawuka, Isa Kabenge, Isaac Oluk 2024 Makerere University

A Systematic Review Of Fourth Industrial Revolution Technologies In Smart Irrigation: Constraints, Opportunities, And Future Prospects For Sub-Saharan Africa, Joshua Wanyama, Erion Bwambale, Shafik Kiraga, Abia Katimbo, Prossie Nakawuka, Isa Kabenge, Isaac Oluk

Department of Agricultural and Biological Systems Engineering: Faculty Publications

The adoption of Fourth Industrial Revolution (4IR) technologies has revolutionized agricultural practices worldwide. However, their application in the context of sub-Saharan Africa remains a critical challenge. This study presents a systematic review that investigates the potential of 4IR technologies in smart irrigation. Sub- Saharan Africa faces multiple agricultural challenges, exacerbated by climate change, water scarcity, and inefficient irrigation practices. The need for sustainable, water-efficient, and data-driven irrigation systems is urgent to ensure food security and economic development in the region. This study addresses a crucial knowledge gap by assessing the constraints, opportunities, and prospects of implementing 4IR technologies for smart …


Fair Fault-Tolerant Approach For Access Point Failures In Networked Control System Greenhouses, Mohammed Ali Yaslam Ba Humaish 2024 The American University in Cairo AUC

Fair Fault-Tolerant Approach For Access Point Failures In Networked Control System Greenhouses, Mohammed Ali Yaslam Ba Humaish

Theses and Dissertations

Greenhouse Networked Control Systems (NCS) are popular applications in modern agriculture due to their ability to monitor and control various environmental factors that can affect crop growth and quality. However, designing and operating a greenhouse in the context of NCS could be challenging due to the need for highly available and cost-efficient systems. This thesis presents a design methodology for greenhouse NCS that addresses these challenges, offering a framework to optimize crop productivity, minimize costs, and improve system availability and reliability. It contributes several innovations to the field of greenhouse NCS design. For example, it recommends using the 2.4GHz frequency …


Impacts Of Farrowing Pen Design, Season, And Sow Parity On Litter Performance And Piglet Mortality, Verônica Madeira Pacheco, Tami M. Brown-Bandl, Gary A. Rohrer, Rafael Vieira de Sousa, Luciane Silva Martello 2024 University of Nebraska-Lincoln

Impacts Of Farrowing Pen Design, Season, And Sow Parity On Litter Performance And Piglet Mortality, Verônica Madeira Pacheco, Tami M. Brown-Bandl, Gary A. Rohrer, Rafael Vieira De Sousa, Luciane Silva Martello

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Piglet mortality during lactation is a significant concern in swine production, influenced by complex interactions involving sow, piglet, environmental, and management factors. While crushing by the sow may be the ultimate cause of piglet mortality, there are many factors influencing the outcome, including parity, thermal stress, and animal housing systems. New farrowing systems are continuously being developed; however, it is difficult for producers to make decisions without any scientific basis. This study aimed to assess the impact of different farrowing pen layouts on piglet performance, considering parity and season. A total of 546 sows and 9123 piglets were monitored across …


Enhancing Estimation Of Cover Crop Biomass Using Field-Based High-Throughput Phenotyping And Machine Learning Models, Geng Bai, Katja Koehler-Cole, David Scoby, Vesh R. Thapa, Andrea D. Basche, Yufeng Ge 2024 University of Nebraska-Lincoln

Enhancing Estimation Of Cover Crop Biomass Using Field-Based High-Throughput Phenotyping And Machine Learning Models, Geng Bai, Katja Koehler-Cole, David Scoby, Vesh R. Thapa, Andrea D. Basche, Yufeng Ge

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Incorporating cover crops into cropping systems offers numerous potential benefits, including the reduction of soil erosion, suppression of weeds, decreased nitrogen requirements for subsequent crops, and increased carbon sequestration. The aboveground biomass (AGB) of cover crops strongly influences their performance in delivering these benefits. Despite the significance of AGB, a comprehensive field-based high-throughput phenotyping study to quantify AGB of multiple cover crops in the U.S. Midwest has not been found. This study presents a two-year field experiment carried out in Eastern Nebraska, USA, to estimate AGB of five different cover crop species [canola (Brassica napus L.), rye (Secale …


An Automated On-The-Go Unloading System Reduces Harvest Operator Stress Relative To Manual Operation, Travis A. Burgers, Kusha Kamarei, Mukund Vora, Matthew Horne 2024 South Dakota State University

An Automated On-The-Go Unloading System Reduces Harvest Operator Stress Relative To Manual Operation, Travis A. Burgers, Kusha Kamarei, Mukund Vora, Matthew Horne

Mechanical Engineering Faculty Publications

On-the-go unloading improves harvest operational efficiency, but it requires skilled labor because it is challenging and stressful to balance numerous concurrent tasks. Harvest automation reduces workload, stress, and fatigue. The objective of this study was to determine if using a commercially available, automated on-the-go unloading system (Raven Cart Automation TM , RCA, Raven Industries) would reduce operator stress com- pared to manual operation. Nine grain cart tractor operators and six combine operators participated in this study. Operators performed their typical harvest operation, except to alternate on-the-go unloading using RCA or operating manually. Skin conductance (elec- trodermal activity) was measured with …


Classification Of Sow Postures Using Convolutional Neural Network And Depth Images, Md Towfiqur Rahman, Tami M. Brown-Brandl, Gary A. Rohrer, Sudhendu R. Sharma, Yeyin Shi 2024 University of Nebraksa-Lincoln

Classification Of Sow Postures Using Convolutional Neural Network And Depth Images, Md Towfiqur Rahman, Tami M. Brown-Brandl, Gary A. Rohrer, Sudhendu R. Sharma, Yeyin Shi

Department of Agricultural and Biological Systems Engineering: Faculty Publications

The United States swine industry reports an average preweaning mortality of approximately 16% where approximately 6% of them are attributed to piglets overlayed by sows. Detecting postural transitions and estimating sows’ time budgets for different postures are valuable information for breeders and engineering design of farrowing facilities to eventually reduce piglet death. Computer vision tools can help monitor changes in animal posture accurately and efficiently. To create a more robust system and eliminate varying lighting issues within a day including daytime/ nighttime differences, there is an advantage to using depth cameras over digital cameras. In this study, a computer vision …


Machine Learning-Based Disease Classification In Tomato (Solanum Lycopersicum) Plants = Klasifikasi Penyakit Berbasis Pembelajaran Mesin Pada Tanaman Tomat (Solanum Lycopersicum), Md Towfiqur Rahman, Sudipto Dhar Dipto, Israt Jahan June, Abdul Momin, Muhammad Rashed Al Mamun 2024 University of Nebraska-Lincoln

Machine Learning-Based Disease Classification In Tomato (Solanum Lycopersicum) Plants = Klasifikasi Penyakit Berbasis Pembelajaran Mesin Pada Tanaman Tomat (Solanum Lycopersicum), Md Towfiqur Rahman, Sudipto Dhar Dipto, Israt Jahan June, Abdul Momin, Muhammad Rashed Al Mamun

Department of Agricultural and Biological Systems Engineering: Faculty Publications

English abstract

In Bangladesh, tomato cultivation faces significant challenges due to its susceptibility to various microorganisms, parasites, and bacterial infections. Typically, the early symptoms of these diseases first appear in roots and leaves, complicating timely detection. This study addresses the challenge of timely and accurate detection of diseases in tomato plants, crucial for effective plant protection management. Conventional manual inspection methods are time-consuming and subjective, resulting in delays in implementing necessary protection measures. Therefore, an image processing technique and machine learning algorithms were used for rapid and robust detection of diseases in tomato plant leaves, aiming to streamline the detection …


Stage And Discharge Prediction From Documentary Time-Lapse Imagery, Kenneth W. Chapman, Troy E. Gilmore, Mehrube Mehrubeoglu, Christian D. Chapman, Aaron R. Mittelstet, John E. Stranzl Jr. 2024 University of Nebraska-Lincoln

Stage And Discharge Prediction From Documentary Time-Lapse Imagery, Kenneth W. Chapman, Troy E. Gilmore, Mehrube Mehrubeoglu, Christian D. Chapman, Aaron R. Mittelstet, John E. Stranzl Jr.

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Imagery from fixed, ground-based cameras is rich in qualitative and quantitative information that can improve stream discharge monitoring. For instance, time-lapse imagery may be valuable for filling data gaps when sensors fail and/or during lapses in funding for monitoring programs. In this study, we used a large image archive (> 40,000 images from 2012 to 2019) from a fixed, ground-based camera that is part of a documentary watershed imaging project (https://plattebasintimelapse.com/). Scalar image features were extracted from daylight images taken at one-hour intervals. The image features were fused with United States Geological Survey stage and discharge data as …


A Validation Of Wepp Water Quality Routines In Uniform And Nonuniform Agricultural Hillslopes, Ryan P. McGehee, Dennis C. Flanagan, Bernard A. Engel, John E. Gilley 2024 Iowa State University

A Validation Of Wepp Water Quality Routines In Uniform And Nonuniform Agricultural Hillslopes, Ryan P. Mcgehee, Dennis C. Flanagan, Bernard A. Engel, John E. Gilley

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Nutrients in agricultural runoff may cause offsite environmental impacts. The objective of this investigation was to examine nutrient transport by overland sheet flow on sites containing swine slurry. Data examined in this study was collected during field rainfall simulation tests conducted on cropland sites in southeast Nebraska, USA. Inflow was added to the top of experimental plots in four successive increments to simulate runoff rates occurring at greater downslope distances. Runoff rates on the experimental sites ranged from 2.3 to 21.2 L min 1 and maximum equivalent downslope distances varied from 5 to 108 m. Phosphorus (P) and nitrogen (N) …


Student Use Of Anchors And Metacognitive Strategies In Reflection, Anu Singh, Heidi A. Diefes-Dux 2024 University of Nebraska-Lincoln

Student Use Of Anchors And Metacognitive Strategies In Reflection, Anu Singh, Heidi A. Diefes-Dux

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Context: Self-regulation, a skillset involving taking charge of one’s own learning processes, is crucial for workplace success. Learners develop self-regulation skills through reflection where they recognize weaknesses and strengths by employing metacognitive strategies: planning, monitoring, and evaluating. Use of anchors assists learners’ engagement in reflection. Purpose or Goal: The purpose of this work was to gain insight into students’ use of anchors when reflecting on their learning. The two research questions: (1) To what extent do students link their self-evaluation and learning objective (LO) self-ratings to their reflections? and (2) What dimensions and level of metacognitive strategies do students use …


Developing Machine Learning Models For Selection Of Management Zones, Sravanthi Bachina 2024 South Dakota State University

Developing Machine Learning Models For Selection Of Management Zones, Sravanthi Bachina

Electronic Theses and Dissertations

Soil sampling and analyses play a crucial role in optimizing nutrient management and enhancing crop productivity. However, collecting representative samples across diverse landscapes is challenging due to knowledge gaps about spatial variability of soil properties, large fields, multiple samples, and analysis costs. Collecting soil samples based on the management zones can help farmers gather precise information about soil properties with fewer samples. Recent developments in precision agriculture and machine learning. This study aimed to develop machine learning models that can learn, analyze, and refine landscape and soil properties data for automated selection of soil sampling zones and generating prediction maps. …


Assessing The Performance And Cost Effectiveness Of Rainwater Harvesting For High Tunnel Production Across Climates In The Continental United States, Mustafa Aydogdu 2024 South Dakota State University

Assessing The Performance And Cost Effectiveness Of Rainwater Harvesting For High Tunnel Production Across Climates In The Continental United States, Mustafa Aydogdu

Electronic Theses and Dissertations

Several factors such as global climate change, population growth, urban and agricultural expansion, rising water demand, unequal water distribution, hydro-political conditions, declining water quality, rainwater scarcity, and temperature-induced drought contribute to water resource degradation. Rainwater harvesting (RWH) emerges as a sustainable solution, involving the collection and storage of rainwater for agriculture, livestock, and domestic use. RWH reduces reliance on municipal water, mitigates climate change impacts, and decreases runoff. Conventional RWH systems in the US vary in effectiveness. Increasing storage and water use enhances RWH effectiveness, improving stormwater runoff and reducing potable water use. High tunnel production of vegetable crops has …


Development Of Innovative Flocculation Technologies For Agricultural Water Treatment, Noor Haleem 2024 South Dakota State University

Development Of Innovative Flocculation Technologies For Agricultural Water Treatment, Noor Haleem

Electronic Theses and Dissertations

The development of innovative flocculation technologies is essential for addressing the challenges of agricultural water treatment. These technologies play a crucial role in removing contaminants such as suspended solids and nutrients, thereby ensuring safer water for irrigation and livestock consumption. By enhancing water quality and wastewater management, they contribute significantly to environmental sustainability and public health in agricultural communities. This comprehensive thesis extensively explores various dimensions of flocculation, with a focused effort on methodologies and resources aimed at strengthening sustainability and efficiency. A pivotal aspect of the research involves synthesizing cationic starch (CS), a flocculant derived from an underutilized resource, …


Inaugural Future Of Bse Days: Workshop Report, Mark Stone 2024 University of Nebraska-Lincoln

Inaugural Future Of Bse Days: Workshop Report, Mark Stone

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

The inaugural Future of BSE Days (FBD) event, held on May 2-3, 2024, brought together the Biological Systems Engineering (BSE) community to discuss and shape the future of work and learning within the field. The event was designed to foster collaboration between faculty, students, industry leaders, and alumni, with the goal of reimagining the department’s educational approach, enhancing industry partnerships, and preparing students for the challenges of tomorrow. Over the course of two days, participants engaged in insightful discussions, workshops, and presentations that highlighted both the strengths of the department and opportunities for growth.

The workshop resulted in several key …


Development Of Lignin Derived Hydrophobic Deep Eutectic Solvents As Sustainable Solvents And Their Applications, Yuxuan Zhang 2024 University of Kentucky

Development Of Lignin Derived Hydrophobic Deep Eutectic Solvents As Sustainable Solvents And Their Applications, Yuxuan Zhang

Theses and Dissertations--Biosystems and Agricultural Engineering

The development of green solvents is a pivotal endeavor in achieving the goals of green chemistry. Ionic liquids (ILs) and deep eutectic solvents (DESs) have emerged as promising green alternatives to conventional organic solvents due to their low toxicity, potential biodegradability, low volatility, and high tunability. Compared to ILs, DESs have attracted more attention recently as they are easier and less expensive to produce. Hydrophobic DESs (HDESs), a new generation of DESs introduced in 2015, have gained considerable interest for their ability to overcome the instability issues of traditional DESs when exposed to water. This advancement extensively broadens the application …


Implications Of Nanopesticides On Downstream Wetland Ecosystems, Kiley Power 2024 University of Kentucky

Implications Of Nanopesticides On Downstream Wetland Ecosystems, Kiley Power

Theses and Dissertations--Biosystems and Agricultural Engineering

Nanopesticides are thought to be a promising course of action for reducing agricultural impacts on the environment, however, little is known regarding the fate and transport of nanopesticides, specifically their influence on downstream wetland ecosystems. The objective of this study was to assess the implications of a nano-Cu fungicide (Kocide 3000) and a neonicotinoid insecticide (imidacloprid) on downstream wetland habitats, particularly their effects on wetland nutrient cycling, using fifteen mesocosm wetlands. The complex interactions between nitrogen, Kocide 3000, and imidacloprid were found to increase nitrate removal rates, decrease phosphate removal rates, and inhibit nitrogen uptake in below-ground biomass. Each treatment, …


The Characterization, Assessment, And Shear Strength Of Turfgrass Soil In North American Thoroughbred Racing, Peter Schmitt 2024 University of Kentucky

The Characterization, Assessment, And Shear Strength Of Turfgrass Soil In North American Thoroughbred Racing, Peter Schmitt

Theses and Dissertations--Biosystems and Agricultural Engineering

Minimizing catastrophic injuries to racehorses, which also protects the riders, is critical for the future of the Thoroughbred racing industry. While the causes of catastrophic injuries are multifactorial, the condition of the racing surface is one of only a few factors that affects all horses in competition. Horse racing surfaces must retain enough shear strength to support the hoof of a Thoroughbred at a gallop. Turfgrass racing surfaces also require healthy turf to reinforce the footing while also achieving a high infiltration rate to allow races to run on the turf soon after or even during rain. This research is …


Wetland Treatment Systems For Municipal Wastewater At A Bourbon Distillery And Potential Value Of Incorporating Stillage For Water Treatment Enhancement, Katherine J. Ristola 2024 University of Kentucky

Wetland Treatment Systems For Municipal Wastewater At A Bourbon Distillery And Potential Value Of Incorporating Stillage For Water Treatment Enhancement, Katherine J. Ristola

Theses and Dissertations--Biosystems and Agricultural Engineering

The use of constructed treatment wetlands, as a secondary treatment method for wastewater effluent from package treatment plants and distillery stillage has potential to be an innovative, sustainable method for improving water quality in the Central Kentucky region. However, the use of constructed wetlands to treat stillage and wastewater treatment plant effluent has been limited. Therefore, the objectives of this study were to: 1) quantify constructed wetland removal as a secondary treatment method for distillery’s wastewater; 2) explore the potential to utilize constructed treatment wetlands to remove nutrients from bourbon stillage; and 3) optimize treatment design to meet wastewater effluent …


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