Life Cycle Greenhouse Gas Emissions In Maize No-Till Agroecosystems In Southern Brazil Based On A Long-Term Experiment,
2024
Federal University of Rio Grande do Sul
Life Cycle Greenhouse Gas Emissions In Maize No-Till Agroecosystems In Southern Brazil Based On A Long-Term Experiment, Guilherme Rosa Da Silva, Adam J. Liska, Cimelio Bayer
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Brazilian agriculture is constantly questioned concerning its environmental impacts, particularly greenhouse gas (GHG) emissions. This research study used data from a 34-year field experiment to estimate the life cycle GHG emissions intensity of maize production for grain in farming systems under no-tillage (NT) and conventional tillage (CT) combined with Gramineae (oat) and legume (vetch) cover crops in southern Brazil. We applied the Feedstock Carbon Intensity Calculator for modeling the “field-to-farm gate” emissions with measured annual soil N2O and CH4 emissions data. For net CO2 emissions, increases in soil organic C (SOC) were applied as a proxy, …
Student Use Of Anchors And Metacognitive Strategies In Reflection,
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 …
Classification Of Sow Postures Using Convolutional Neural Network And Depth Images,
2024
University of Nebraska-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),
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 …
A Validation Of Wepp Water Quality Routines In Uniform And Nonuniform Agricultural Hillslopes,
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) …
Prediction Of Chlorophyll-A As An Index Of Harmful Algal Blooms Using Machine Learning Models,
2024
Clemson University
Prediction Of Chlorophyll-A As An Index Of Harmful Algal Blooms Using Machine Learning Models, Ibrahim Busari, Debrabata Sahoo, R. Daren Harmel, Brian E. Haggard
Biological and Agricultural Engineering Faculty Publications and Presentations
The complex dynamics of freshwater harmful algal blooms (HABs) necessitate proactive monitoring approaches to mitigate their impacts. The rapid breakthrough in computing prowess and statistical advances is triggering the development of data-driven techniques such as machine learning (ML) models, which have been shown in different fields to be instrumental in finding patterns for explaining relationships in observed data. This study assesses the ability of ML models for HABs monitoring in a lake using chlorophyll-a concentration as the index. The selected models for this study were regression tree, random forest (RF), multilayer perceptron (MLP), support vector regression (SVR), long short-term memory …
Effects Of Crate Size On Mortality And Postural Behavior In Post-Farrowing Sows,
2024
University of Nebraska-Lincoln
Effects Of Crate Size On Mortality And Postural Behavior In Post-Farrowing Sows, Md Towfiqur Rahman, Tami M. Brown-Brandl, Gary A. Rohrer, Sudhendu R. Sharma, Yeyin Shi
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Preweaning mortality (PWM) is a economic and animal well-being issue for swine producers in the US. On average, producers face about a 16% pre-weaning mortality. A significant portion of this, around 6%, is because sows accidentally overlay their piglets in farrowing crates. The posture behavior of sow plays a vital role in overlaying piglets and this behavior has a significant effect on farrowing crate dimensions. This study aims to explore the interplay between farrowing crate size, mortality rates, and postural behavior in post-farrowing sows. This study employed three farrowing stalls: Traditional (T), Expanded creep area (C), and Expanded sow area …
Development And Evaluation Of A Retrofittable Variable Rate Applicator Controller,
2024
South Dakota State University
Development And Evaluation Of A Retrofittable Variable Rate Applicator Controller, Ahmed Abdalla
Electronic Theses and Dissertations
The need to optimize resource utilization while increasing crop productivity is paramount. This research proposes a Low-cost Retrofittable Variable Rate Applicator Controller (VRAC) that aims to leverage the adoption of Variable Rate Technologies. The controller operates via the Raspberry Pi platform, a Global Positioning System (GPS), a stepper motor drive, and an anti-slip wheel encoder. The VRAC allows precise, on-the-fly control of variable-rate application of farming inputs. It utilizes GPS with 10 cm accuracy to pinpoint geographic coordinates in real-time. A wheel encoder measures traveling speed with a slip-resistant wheel design for precise RPM readings. The Raspberry processes the data, …
Development And Evaluation Of Reactor Physics Transient Benchmarks For Molten Salt Reactors Based On The Molten Salt Reactor Experiment,
2024
Virginia Commonwealth University
Development And Evaluation Of Reactor Physics Transient Benchmarks For Molten Salt Reactors Based On The Molten Salt Reactor Experiment, Mohamed H. Elhareef
Theses and Dissertations
Molten salt reactors (MSRs) are a promising class of advanced nuclear reactors selected as
one of the generation IV reactors. This class of reactors employs a unique design, where fissile
material is dissolved in a molten salt mixture, serving as fuel and coolant of the reactor. The design
features high-temperature low-pressure operation and efficient heat transfer capability, which
leads to significant improvements in reactor thermal efficiency, safety, and waste management.
However, MSRs also have complex phenomena not observed in conventional reactors, such as
fission product transport in the circulating fuel loop. These phenomena impact neutron distribution
and reactivity feedback mechanisms …
Structural Construction And Surface Modification Of Copper Current Collectors For Lithium Metal Batteries,
2024
South Dakota State University
Structural Construction And Surface Modification Of Copper Current Collectors For Lithium Metal Batteries, Yaohua Liang
Electronic Theses and Dissertations
Graphene, a prevalent anode material in commercial lithium-ion batteries, has reached its theoretical capacity limit. The imperative is to develop high-capacity anode materials to meet the growing demand for energy density. Lithium metal, renowned for its exceptionally high theoretical specific capacity density (3680 mAh g-1) and low reduction potential (-3.04 V, relative to the standard hydrogen electrode), is commonly dubbed the "Holy Grail" for negative electrode materials in high-energy-density batteries. However, practical advancements in lithium metal anodes face obstacles like low Coulombic efficiency, limited cycle life, and heightened reactivity to the electrolyte and internal short circuits resulting from lithium dendrite …
Assessing The Performance And Cost Effectiveness Of Rainwater Harvesting For High Tunnel Production Across Climates In The Continental United States,
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 …
Reducing Food Scarcity: The Benefits Of Urban Farming,
2023
Brigham Young University
Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia
Journal of Nonprofit Innovation
Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.
Imagine Doris, who is …
Red Cabbage Juice-Mediated Gut Microbiota Modulation
Improves Intestinal Epithelial Homeostasis And
Ameliorates Colitis,
2023
University of Nebraska-Lincoln
Red Cabbage Juice-Mediated Gut Microbiota Modulation Improves Intestinal Epithelial Homeostasis And Ameliorates Colitis, Emily Jean Wilson, Nagabhishek Sirpu Natesh, Parsa Ghadermazi, Ramesh Pothuraju, Dipakkumar R. Prajapati, Sanjit Pandey, Jussuf T. Kaifi, John R. Dodam, Jeffrey Bryan, Christian L. Lorson, Aude A. Watrelot, Jason M. Foster, Thomas J. Mansell, Siu Hung Joshua Chan, Surinder K. Batra, Jeyamkondan Subbiah, Satyanarayana Rachagani
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Gut microbiota plays a crucial role in inflammatory bowel diseases (IBD) and can potentially prevent IBD through microbial-derived metabolites, making it a promising therapeutic avenue. Recent evidence suggests that despite an unclear underlying mechanism, red cabbage juice (RCJ) alleviates Dextran Sodium Sulfate (DSS)-induced colitis in mice. Thus, the study aims to unravel the molecular mechanism by which RCJ modulates the gut microbiota to alleviate DSS-induced colitis in mice. Using C57BL/6J mice, we evaluated RCJ’s protective role in DSS-induced colitis through two cycles of 3% DSS. Mice were daily gavaged with PBS or RCJ until the endpoint, and gut microbiota composition …
Determining The Presence And Size Of Shoulder Lesions In Sows
Using Computer Vision,
2023
University of Nebraska-Lincoln
Determining The Presence And Size Of Shoulder Lesions In Sows Using Computer Vision, Shubham Bery, Tami M. Brown-Bandl, Bradley T. Jones, Gary A. Rohrer, Sudhendu Raj Sharma
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Shoulder sores predominantly arise in breeding sows and often result in untimely culling. Reported prevalence rates vary significantly, spanning between 5% and 50% depending upon the type of crate flooring inside a farm, the animal’s body condition, or an existing injury that causes lameness. These lesions represent not only a welfare concern but also have an economic impact due to the labor needed for treatment and medication. The objective of this study was to evaluate the use of computer vision techniques in detecting and determining the size of shoulder lesions. A Microsoft Kinect V2 camera captured the top-down depth and …
Deep Learning Models To Predict Finishing Pig Weight Using
Point Clouds,
2023
University of Nebraska - Lincoln
Deep Learning Models To Predict Finishing Pig Weight Using Point Clouds, Shiva Paudel, Rafael Vieira De Sousa, Sudhendu Raj Sharma, Tami M. Brown-Bandl
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The selection of animals to be marketed is largely completed by their visual assessment, solely relying on the skill level of the animal caretaker. Real-time monitoring of the weight of farm animals would provide important information for not only marketing, but also for the assessment of health and well-being issues. The objective of this study was to develop and evaluate a method based on 3D Convolutional Neural Network to predict weight from point clouds. Intel Real Sense D435 stereo depth camera placed at 2.7 m height was used to capture the 3D videos of a single finishing pig freely walking …
Deep Learning Models To Predict Finishing Pig Weight Using
Point Clouds,
2023
University of Nebraska - Lincoln
Deep Learning Models To Predict Finishing Pig Weight Using Point Clouds, Shiva Paudel, Rafael Vieira De Sousa, Sudhendu Raj Sharma, Tami M. Brown-Bandl
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The selection of animals to be marketed is largely completed by their visual assessment, solely relying on the skill level of the animal caretaker. Real-time monitoring of the weight of farm animals would provide important information for not only marketing, but also for the assessment of health and well-being issues. The objective of this study was to develop and evaluate a method based on 3D Convolutional Neural Network to predict weight from point clouds. Intel Real Sense D435 stereo depth camera placed at 2.7 m height was used to capture the 3D videos of a single finishing pig freely walking …
Impact Of Irrigation On
Vulnerability Of Winter Wheat
Under Extreme Climate Change
Scenario: A Case Study Of North
China Plain,
2023
Beijing Normal University
Impact Of Irrigation On Vulnerability Of Winter Wheat Under Extreme Climate Change Scenario: A Case Study Of North China Plain, Yulian Gao, Lin Wang, Yaojie Yue
Department of Agricultural and Biological Systems Engineering: Faculty Publications
An inadequate understanding of the impacts of adaptation countermeasures tends to exaggerate the adverse eects of climate change on agricultural systems. Motivated by proposing reasonable climate change adaptation countermeasures, the present study applied the EPIC model to quantify the impacts of climate change and irrigation changes with future socioeconomic development on agricultural production. Winter wheat yield losses using dynamic irrigation parameters in the North China Plain (NCP) from 2010 to 2099 under a scenario coupling climate change and future socioeconomic development (RCP8.5-SSP3), and those under an extreme climate change scenario (RCP8.5), were simulated. Results show that EPIC model demonstrates superior …
Development Of An Automated Delivery System To Apply Copper Sulfate Crystals Using Precision Dry Fertilizer Application Technology,
2023
Mississippi State University
Development Of An Automated Delivery System To Apply Copper Sulfate Crystals Using Precision Dry Fertilizer Application Technology, Kevin Charles Wise
Theses and Dissertations
The digenetic trematode, Bolbophorus damnificus, poses a substantial threat to catfish aquaculture, causing significant economic losses. Infestations lead to suppressed feed consumption, secondary bacterial infections and poor production performance. Survey data reveals widespread infestation in the in the southeastern United States. Current control strategies involve the application of a concentrated copper sulfate solution to reduce snail populations which serve as the first intermediate host of the trematode life cycle. This study aimed to improve treatment efficacy by developing a granular copper sulfate application system. A modified Gandy fertilizer applicator, equipped with a programmable control system, demonstrated accurate distribution of copper …
Study Of Surface And Groundwater Quality And Quantity At Watershed Scale In Mississippi,
2023
Mississippi State University
Study Of Surface And Groundwater Quality And Quantity At Watershed Scale In Mississippi, Dipesh Nepal
Theses and Dissertations
Hydrology and water quality are affected by land use and climate changes. Mississippi’s diverse agro–ecosystem comprises of a range of land use land cover (LULC) including agriculture, forest, wetlands, urban, and grasslands. The objectives of this study were to investigate the impacts of various factors such as Best Management Practices (BMPs), wetlands, LULC, and climate changes on water quality and quantity. The hydrologic and water quality responses to dynamic LULC input in Soil and Water Assessment Tool (SWAT) were evaluated. Results showed that agricultural and forest expansion were major drivers of hydrologic and water quality changes in Big Sunflower River …
Systematic Comparison Of Nonviral Gene
Delivery Strategies For Efficient Co-Expression
Of Two Transgenes In Human Mesenchymal Stem
Cells,
2023
University of Nebraska - Lincoln
Systematic Comparison Of Nonviral Gene Delivery Strategies For Efficient Co-Expression Of Two Transgenes In Human Mesenchymal Stem Cells, Tyler Kozisek, Luke Samuelson, Andrew Hamann, Angela K. Pannier
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Background Human mesenchymal stem cells (hMSCs) are being researched for cell-based therapies due to a host of unique properties, however, genetic modification of hMSCs, accomplished through nonviral gene delivery, could greatly advance their therapeutic potential. Furthermore, expression of multiple transgenes in hMSCs could greatly advance their clinical significance for treatment of multifaceted diseases, as individual transgenes could be expressed that target separate pathogenic drivers of complex diseases. Expressing multiple transgenes can be accomplished by delivering multiple DNA vectors encoding for each transgene, or by delivering a single poly-cistronic vector that encodes for each transgene and accomplishes expression through either use …
