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Articles 1 - 30 of 223
Full-Text Articles in Entire DC Network
Reproducibility Starts At The Source: R, Python, And Julia Packages For Retrieving Usgs Hydrologic Data, Timothy O. Hodson, Laura A. Decicco, Jayaram A. Hariharan, Lee F. Stanish, Scott Black, Jeffery S. Horsburgh
Reproducibility Starts At The Source: R, Python, And Julia Packages For Retrieving Usgs Hydrologic Data, Timothy O. Hodson, Laura A. Decicco, Jayaram A. Hariharan, Lee F. Stanish, Scott Black, Jeffery S. Horsburgh
Civil and Environmental Engineering Faculty Publications
Much of modern science takes place in a computational environment, and, increasingly, that environment is programmed using R, Python, or Julia. Furthermore, most scientific data now live on the cloud, so the first step in many workflows is to query a cloud database and load the response into a computational environment for further analysis. Thus, tools that facilitate programmatic data retrieval represent a critical component in reproducible scientific workflows. Earth science is no different in this regard. To fulfill that basic need, we developed R, Python, and Julia packages providing programmatic access to the U.S. Geological Survey’s National Water Information …
Evaluation Of Bio-Friendly Formulations From Siderophore-Producing Fluorescent Pseudomonas As Biocontrol Agents For The Management Of Soil-Borne Fungi, Fusarium Oxysporum And Rhizoctonia Solani, Gaber Attia Abo-Zaid, Ahmed Salah Abdullah, Nadia Abdel-Mohsen Soliman, Ebaa Ebrahim El-Sharouny, Abdulaziz A. Al-Askar, Yiming Su, Ahmed Abdelkhalek, Soraya Abdel-Fattah Sabry
Evaluation Of Bio-Friendly Formulations From Siderophore-Producing Fluorescent Pseudomonas As Biocontrol Agents For The Management Of Soil-Borne Fungi, Fusarium Oxysporum And Rhizoctonia Solani, Gaber Attia Abo-Zaid, Ahmed Salah Abdullah, Nadia Abdel-Mohsen Soliman, Ebaa Ebrahim El-Sharouny, Abdulaziz A. Al-Askar, Yiming Su, Ahmed Abdelkhalek, Soraya Abdel-Fattah Sabry
Civil and Environmental Engineering Faculty Publications
Secretion of siderophores by Pseudomonas aeruginosa F2 and P. fluorescens JY3 was evaluated on chrome azurol S (CAS) agar plates and their inhibitory effect was inspected against Fusarium oxysporum and Rhizoctonia solani. Production of siderophores as biocontrol agents from F2 and JY3 was accomplished in two optimized media. Afterward, cell-free supernatants of the bacterial cultures containing siderophores were used for the preparation of two bio-friendly formulations for the management of F. oxysporum and R. solani under greenhouse conditions. The investigated bacterial isolates, F2 and JY3, showed antagonistic activity in vitro against F. oxysporum and R. solani and produced siderophores …
Rhaphiolepis Indica Fruit Extracts For Control Fusarium Solani And Rhizoctonia Solani, The Causal Agents Of Bean Root Rot, Ahmed A. Heflish, Said I. Behiry, Abdulaziz A. Al-Askar, Yiming Su, Ahmed Abdelkhalek, Mohamed K. Gaber
Rhaphiolepis Indica Fruit Extracts For Control Fusarium Solani And Rhizoctonia Solani, The Causal Agents Of Bean Root Rot, Ahmed A. Heflish, Said I. Behiry, Abdulaziz A. Al-Askar, Yiming Su, Ahmed Abdelkhalek, Mohamed K. Gaber
Civil and Environmental Engineering Faculty Publications
Numerous strategies have been suggested to reduce dependence on synthetic products, such as physical, microbial, and natural methods. Among the natural remedies, plant extracts have emerged as a popular option owing to their eco-friendly character, ease of degradation, and harmless nature to humans. In our study, we used the acetone and hexane extracts of Rhaphiolepis indica fruit to combat two fungal pathogens that were isolated from infected bean plants and showed root rot symptoms. The two pathogens were confirmed to be pathogenic by pathogenicity assays conducted in vivo. The morphological and molecular identification by ITS-region sequencing revealed that the two …
Antimicrobial Efficacy And Hplc Analysis Of Polyphenolic Compounds In A Whole-Plant Extract Of Eryngium Campestre, Abdulaziz A. Al-Askar, Shimaa Bashir, Abdallah E. Mohamed, Omaima A. Sharaf, Rokaia Nabil, Yiming Su, Ahmed Abdelkhalek, Said I. Behiry
Antimicrobial Efficacy And Hplc Analysis Of Polyphenolic Compounds In A Whole-Plant Extract Of Eryngium Campestre, Abdulaziz A. Al-Askar, Shimaa Bashir, Abdallah E. Mohamed, Omaima A. Sharaf, Rokaia Nabil, Yiming Su, Ahmed Abdelkhalek, Said I. Behiry
Civil and Environmental Engineering Faculty Publications
Due to the constant increase in the number of plant diseases and the lack of available treatments, there has been a growing interest in plant extracts over the past few decades. Numerous studies suggest that plant extract molecules possess valuable antimicrobial activities, particularly against fungi and bacteria. This suggests that these biomaterials could potentially serve as attractive therapeutic options for the treatment of phytopathogen infections. In the present study, we investigated and analyzed the methanolic extract of Eryngium campestre L. whole plant extract using HPLC. The analysis revealed the presence of several polyphenolic constituents, with benzoic acid, catechol, quercetin, vanillic …
Treatability Study Of Car Wash Wastewater Using Upgraded Physical Technique With Sustainable Flocculant, Mai Fayed, M. A. Shewitah, R. Ryan Dupont, Mohamed Fayed, Mai M. Badr
Treatability Study Of Car Wash Wastewater Using Upgraded Physical Technique With Sustainable Flocculant, Mai Fayed, M. A. Shewitah, R. Ryan Dupont, Mohamed Fayed, Mai M. Badr
Civil and Environmental Engineering Faculty Publications
Grease, oil, hydrocarbon residues, heavy metals, and surfactants are all present in car wash wastewater (CWW), which all can have detrimental effects on the environment and human health. This study was designed to assess CWW treatment using an upgraded physical technique combined with a range of conventional and more sustainable coagulants. Physical treatment effectively lowered the oil and grease (O&G) and chemical oxygen demand (COD) of the CWW by 79 ± 15% and 97 ± 1.6%, respectively. Additional treatment was provided using chemical coagulation–flocculation– settling. In jar test studies, humic acid (HA) and alum were found to provide significantly higher …
Evaluation Of Temperature-Index And Energy-Balance Snow Models For Hydrological Applications In Operational Water Supply Forecasts, Tian Gan, David G. Tarboton, Tseganeh Z. Gichamo
Evaluation Of Temperature-Index And Energy-Balance Snow Models For Hydrological Applications In Operational Water Supply Forecasts, Tian Gan, David G. Tarboton, Tseganeh Z. Gichamo
Civil and Environmental Engineering Faculty Publications
In the western United States, snow accumulation, storage, and ablation affect seasonal runoff. Thus, the prediction of snowmelt is essential to improve the reliability of water supply forecasts to guide water allocation and operational decisions. The current method used at the Colorado Basin River Forecast Center (CBRFC) couples the SNOW-17 temperature index snow model and the Sacramento Soil Moisture Accounting (SAC-SMA) runoff model in a lumped approach. Limitations in parameter transferability and calibration requirements for changing conditions with the temperature-index model motivated this research, in which new avenues were investigated to assess and prototype the application of an energy-balance snow …
Swietenia Mahagoni Leaves Extract: Antifungal, Insecticidal, And Phytochemical Analysis, Wael M. Khamis, Ahmed A. Heflish, Sarah El-Messeiry, Said I. Behiry, Abdulaziz A. Al-Askar, Yiming Su, Ahmed Abdelkhalek, Mohamed K. Gaber
Swietenia Mahagoni Leaves Extract: Antifungal, Insecticidal, And Phytochemical Analysis, Wael M. Khamis, Ahmed A. Heflish, Sarah El-Messeiry, Said I. Behiry, Abdulaziz A. Al-Askar, Yiming Su, Ahmed Abdelkhalek, Mohamed K. Gaber
Civil and Environmental Engineering Faculty Publications
In this study, we investigated the antifungal properties of an acetone extract derived from the leaves of Swietenia mahagoni (SMAL) against two isolated fungi, Fusarium equiseti (OQ820153) and Rhizoctonia solani (OQ820152), from rice sheath. The extract was effective in inhibiting the growth of both fungi at the highest concentration tested, 3000 μg·mL−1. Laboratory tests on the LC20 of SMAL extract (49.86 mg·L−1) versus pyriproxyfen 10% EC (1.96 mg·L−1) were accomplished on Aphis gossypii Glover. The extract potently reduced the survival of the nymphs (49.58%) more than the other treatments. The longevity of nymphs treated …
Nematocidal And Bactericidal Activities Of Green Synthesized Silver Nanoparticles Mediated By Ficus Sycomorus Leaf Extract, Dina Elkobrosy, Abdulaziz A. Al-Askar, Hamada El-Gendi, Yiming Su, Rokaia Nabil, Ahmed Abdelkhalek, Said Behiry
Nematocidal And Bactericidal Activities Of Green Synthesized Silver Nanoparticles Mediated By Ficus Sycomorus Leaf Extract, Dina Elkobrosy, Abdulaziz A. Al-Askar, Hamada El-Gendi, Yiming Su, Rokaia Nabil, Ahmed Abdelkhalek, Said Behiry
Civil and Environmental Engineering Faculty Publications
Nanoparticles effectively control most plant pathogens, although research has focused more on their antimicrobial than their nematocidal properties. This study synthesized silver nanoparticles (Ag-NPs) through a green biosynthesis method using an aqueous extract of Ficus sycomorus leaves (FS-Ag-NPs). The nanoparticles were characterized using SEM, TEM, EDX, zeta sizer, and FTIR. The TEM results showed that the synthesized NPs were nanoscale and had an average particle size of 33 ± 1 nm. The elemental silver signal at 3 keV confirmed the formation of Ag-NPs from an aqueous leaf extract of F. sycomorus. The FTIR analysis revealed the existence of several …
Colorado River Basin Water Accounts: 1-Page Summary, David E. Rosenberg
Colorado River Basin Water Accounts: 1-Page Summary, David E. Rosenberg
Civil and Environmental Engineering Faculty Publications
26 Colorado River managers and experts constructively improved basin water accounts as a framework to transition emergency reservoir operations into more sustainable, equitable, and adaptive water uses.
Hyperspectral Imaging With Machine Learning To Differentiate Cultivars, Growth Stages, Flowers, And Leaves Of Industrial Hemp (Cannabis Sativa L.), Yuzhen Lu, Sierra N. Young, Eric Linder, Brian Whipker, David Suchoff
Hyperspectral Imaging With Machine Learning To Differentiate Cultivars, Growth Stages, Flowers, And Leaves Of Industrial Hemp (Cannabis Sativa L.), Yuzhen Lu, Sierra N. Young, Eric Linder, Brian Whipker, David Suchoff
Civil and Environmental Engineering Faculty Publications
As an emerging cash crop, industrial hemp (Cannabis sativa L.) grown for cannabidiol (CBD) has spurred a surge of interest in the United States. Cultivar selection and harvest timing are important to produce CBD hemp profitably and avoid economic loss resulting from the tetrahydrocannabinol (THC) concentration in the crop exceeding regulatory limits. Hence there is a need for differentiating CBD hemp cultivars and growth stages to aid in cultivar and genotype selection and optimization of harvest timing. Current methods that rely on visual assessment of plant phenotypes and chemical procedures are limited because of its subjective and destructive nature. In …
Robust Plant Segmentation Of Color Images Based On Image Contrast Optimization, Yuzhen Lu, Sierra N. Young, Haifeng Wang, Nuwan Wijewardane
Robust Plant Segmentation Of Color Images Based On Image Contrast Optimization, Yuzhen Lu, Sierra N. Young, Haifeng Wang, Nuwan Wijewardane
Civil and Environmental Engineering Faculty Publications
Plant segmentation is a crucial task in computer vision applications for identification/classification and quantification of plant phenotypic features. Robust segmentation of plants is challenged by a variety of factors such as unstructured background, variable illumination, biological variations, and weak plant-background contrast. Existing color indices that are empirically developed in specific applications may not adapt robustly to varying imaging conditions. This study proposes a new method for robust, automatic segmentation of plants from background in color (red-green-blue, RGB) images. This method consists of unconstrained optimization of a linear combination of RGB component images to enhance the contrast between plant and background …
Detection Of Crop Diseases Using Enhanced Variability Imagery Data And Convolutional Neural Networks, Shai Kendler, Ran Aharoni, Sierra N. Young, Hanan Sela, Tamar Kis-Papo, Tzion Fahima, Barak Fishbain
Detection Of Crop Diseases Using Enhanced Variability Imagery Data And Convolutional Neural Networks, Shai Kendler, Ran Aharoni, Sierra N. Young, Hanan Sela, Tamar Kis-Papo, Tzion Fahima, Barak Fishbain
Civil and Environmental Engineering Faculty Publications
The timely detection of crop diseases is critical for securing crop productivity, lowering production costs, and minimizing agrochemical use. This study presents a crop disease identification method that is based on Convolutional Neural Networks (CNN) trained on images taken with consumer-grade cameras. Specifically, this study addresses the early detection of wheat yellow rust, stem rust, powdery mildew, potato late blight, and wild barley net blotch. To facilitate this, pictures were taken in situ without modifying the scene, the background, or controlling the illumination. Each image was then split into several patches, thus retaining the original spatial resolution of the image …
A Comparison Of National Water Model Retrospective Analysis Snow Outputs At Snow Telemetry Sites Across The Western United States, Irene Garousi-Nejad, David G. Tarboton
A Comparison Of National Water Model Retrospective Analysis Snow Outputs At Snow Telemetry Sites Across The Western United States, Irene Garousi-Nejad, David G. Tarboton
Civil and Environmental Engineering Faculty Publications
This study compares the US National Water Model (NWM) reanalysis snow outputs to observed snow water equivalent (SWE) and snow-covered area fraction (SCAF) at snow telemetry (SNOTEL) sites across the Western United States. SWE was obtained from SNOTEL sites, while SCAF was obtained from moderate resolution imaging spectroradiometer (MODIS) observations at a nominal 500 m grid scale. Retrospective NWM results were at a 1000 m grid scale. We compared results for SNOTEL sites to gridded NWM and MODIS outputs for the grid cells encompassing each SNOTEL site. Differences between modelled and observed SWE were attributed to both model errors, as …
Ten Simple Rules For Researchers Who Want To Develop Web Apps, Sheila M. Saia, Natalie G. Nelson, Sierra N. Young, Stanton Parham, Micah Vandegrift
Ten Simple Rules For Researchers Who Want To Develop Web Apps, Sheila M. Saia, Natalie G. Nelson, Sierra N. Young, Stanton Parham, Micah Vandegrift
Civil and Environmental Engineering Faculty Publications
Web applications, also known as web apps, are increasingly common in the research communication portfolios of those working in the life sciences (e.g., [1]) and physical sciences (e.g., [2–4]). Web apps help disseminate research findings and present research outputs in ways that are accessible and meaningful to the general public—from individuals, to governments, to companies. Specifically, web apps enable exploration of scenario testing and policy analysis (i.e., to answer “what if?”) as well as coevolution of scientific and public knowledge [5,6]. However, the majority of researchers developing web apps receive little formal training or technical guidance on how to develop …
Lessons From Real-Time, Online Collaborative Modeling To Discuss More Adaptive Reservoir Operations, David E. Rosenberg
Lessons From Real-Time, Online Collaborative Modeling To Discuss More Adaptive Reservoir Operations, David E. Rosenberg
Civil and Environmental Engineering Faculty Publications
This work had the purpose to model and discuss in real-time more adaptive Colorado River reservoir operations with manager and experts. I created real-time, online collaborative modeling environments by using an interactive web spreadsheet (Google Sheet) during video conference sessions. 26 Colorado River managers and experts participated. Within each session, up to 6 people from the same stakeholder group simultaneously consumed, saved, and traded water in six basin water accounts, protected reservoirs, and sustained endangered, native fish of the Grand Canyon. The collaboration differed from prior studies that excluded stakeholders, extracted data from participants, had a lead modeler or facilitation …
Hyperspectral Imaging With Cost-Sensitive Learning For High-Throughput Screening Of Loblolly Pine (Pinus Taeda L.) Seedlings For Freeze Tolerance, Yuzhen Lu, Kitt G. Payn, Piyush Pandey, Juan J. Acosta, Austin J. Heine, Trevor D. Walker, Sierra Young
Hyperspectral Imaging With Cost-Sensitive Learning For High-Throughput Screening Of Loblolly Pine (Pinus Taeda L.) Seedlings For Freeze Tolerance, Yuzhen Lu, Kitt G. Payn, Piyush Pandey, Juan J. Acosta, Austin J. Heine, Trevor D. Walker, Sierra Young
Civil and Environmental Engineering Faculty Publications
Loblolly pine (Pinus taeda L.) is a commercially important timber species planted across a wide temperature gradient in the southeastern U.S. It is critical to ensure that the planting stock is suitably adapted to the growing environment to achieve high productivity and survival. Long-term field studies, although considered the most reliable method for assessing cold hardiness of loblolly pine, are extremely resource-intensive and time-consuming. The development of a high-throughput screening tool to characterize and classify freeze tolerance among different genetic entries of seedlings will facilitate accurate deployment of highly productive and well-adapted families across the landscape. This study presents a …
Hyperspectral Imaging Combined With Machine Learning For The Detection Of Fusiform Rust Disease Incidence In Loblolly Pine Seedlings, Piyush Pandey, Kitt G. Payn, Yuzhen Lu, Austin J. Heine, Trevor D. Walker, Juan J. Acosta, Sierra N. Young
Hyperspectral Imaging Combined With Machine Learning For The Detection Of Fusiform Rust Disease Incidence In Loblolly Pine Seedlings, Piyush Pandey, Kitt G. Payn, Yuzhen Lu, Austin J. Heine, Trevor D. Walker, Juan J. Acosta, Sierra N. Young
Civil and Environmental Engineering Faculty Publications
Loblolly pine is an economically important timber species in the United States, with almost 1 billion seedlings produced annually. The most significant disease affecting this species is fusiform rust, caused by Cronartium quercuum f. sp. fusiforme. Testing for disease resistance in the greenhouse involves artificial inoculation of seedlings followed by visual inspection for disease incidence. An automated, high-throughput phenotyping method could improve both the efficiency and accuracy of the disease screening process. This study investigates the use of hyperspectral imaging for the detection of diseased seedlings. A nursery trial comprising families with known in-field rust resistance data was conducted, and …
An Open Web-Based Module Developed To Advance Data-Driven Hydrologic Process Learning, Belize A. Lane, Irene Garousi-Nejad, Melissa A. Gallagher, David G. Tarboton, Emad Habib
An Open Web-Based Module Developed To Advance Data-Driven Hydrologic Process Learning, Belize A. Lane, Irene Garousi-Nejad, Melissa A. Gallagher, David G. Tarboton, Emad Habib
Civil and Environmental Engineering Faculty Publications
The era of ‘big data’ promises to provide new hydrologic insights, and open web-based platforms are being developed and adopted by the hydrologic science community to harness these datasets and data services. This shift accompanies advances in hydrology education and the growth of web-based hydrology learning modules, but their capacity to utilize emerging open platforms and data services to enhance student learning through data-driven activities remains largely untapped. Given that generic equations may not easily translate into local or regional solutions, teaching students to explore how well models or equations work in particular settings or to answer specific problems using …
Opportunities For Robotic Systems And Automation In Cotton Production, Edward Barnes, Gaylon Morgan, Kater Hake, Jon Devine, Ryan Kurtz, Gregory Ibendahl, Ajay Sharda, Glen Rains, John Snider, Joe Mari Maja, J. Alex Thomasson, Yuzhen Lu, Hussein Gharakhani, James Griffin, Emi Kimura, Robert Hardin, Tyson Raper, Sierra N. Young, Kadeghe Fue, Mathew Pelletier, Greg Wanjura, Holt
Opportunities For Robotic Systems And Automation In Cotton Production, Edward Barnes, Gaylon Morgan, Kater Hake, Jon Devine, Ryan Kurtz, Gregory Ibendahl, Ajay Sharda, Glen Rains, John Snider, Joe Mari Maja, J. Alex Thomasson, Yuzhen Lu, Hussein Gharakhani, James Griffin, Emi Kimura, Robert Hardin, Tyson Raper, Sierra N. Young, Kadeghe Fue, Mathew Pelletier, Greg Wanjura, Holt
Civil and Environmental Engineering Faculty Publications
Automation continues to play a greater role in agricultural production with commercial systems now available for machine vision identification of weeds and other pests, autonomous weed control, and robotic harvesters for fruits and vegetables. The growing availability of autonomous machines in agriculture indicates that there are opportunities to increase automation in cotton production. This article considers how current and future advances in automation has, could, or will impact cotton production practices. The results are organized to follow the cotton production process from land preparation to planting to within season management through harvesting and ginning. For each step, current and potential …
The Effects Of Interface Views On Performing Aerial Telemanipulation Tasks Using Small Uavs, Sierra N. Young, Ryan J. Lanciloti, Joshua M. Peschel
The Effects Of Interface Views On Performing Aerial Telemanipulation Tasks Using Small Uavs, Sierra N. Young, Ryan J. Lanciloti, Joshua M. Peschel
Civil and Environmental Engineering Faculty Publications
This paper presents a human-robot interaction (HRI) study of a dedicated Mission Specialist interface for performing telemanipulation tasks using a small unoccupied aerial vehicle (UAV). Current literature suggests that the successful completion of aerial manipulation tasks in real-world environments requires human input due to challenges in autonomous perception and control. Visual information of the remote environment in a telemanipulation interface can significantly affect performance under direct control; however, the effects of interface visualizations on task performance have not been studied for UAV telemanipulation. This work evaluated the effects of interface viewpoint on aerial manipulation task performance. The interfaces evaluated in …
Managing Lake Urmia, Iran For Diverse Restoration Objectives: Moving Beyond A Uniform Target Lake Level, Somayeh Sima, David E. Rosenberg, Wayne A. Wurtsbaugh, Sarah E. Null, Karin M. Kettenring
Managing Lake Urmia, Iran For Diverse Restoration Objectives: Moving Beyond A Uniform Target Lake Level, Somayeh Sima, David E. Rosenberg, Wayne A. Wurtsbaugh, Sarah E. Null, Karin M. Kettenring
Civil and Environmental Engineering Faculty Publications
There is widespread interest in restoring drying saline lakes. At Iran’s hypersaline Lake Urmia, managers have sought a uniform target lake level of 1274.1 m above sea level to lower salinity below 263 g L−1 and recover Artemia to sufficient densities to support flamingos. We suggest that addressing a broader range of objectives will allow more flexibility for managing the lake. We define eight restoration objectives to lower salinity, sustain Artemia and flamingo populations, separate islands from each other and the mainland, reduce lakebed dust, maintain commercially valuable ions, and improve recreational access from resort beaches. We use 40 years …
Prediction Of Freeze Damage And Minimum Winter Temperature Of The Seed Source Of Loblolly Pine Seedlings Using Hyperspectral Imaging, Yuzhen Lu, Trevor D. Walker, Juan J. Acosta, Sierra N. Young, Piyush Pandey, Austin J. Heine, Kitt G. Payn
Prediction Of Freeze Damage And Minimum Winter Temperature Of The Seed Source Of Loblolly Pine Seedlings Using Hyperspectral Imaging, Yuzhen Lu, Trevor D. Walker, Juan J. Acosta, Sierra N. Young, Piyush Pandey, Austin J. Heine, Kitt G. Payn
Civil and Environmental Engineering Faculty Publications
The most important climatic variable influencing growth and survival of loblolly pine is the yearly average minimum winter temperature (MWT) at the seed source origin, and it is used to guide the transfer of improved seed lots throughout the species’ distribution. This study presents a novel approach for the assessment of freeze-induced damage and prediction of MWT at seed source origin of loblolly pine seedlings using hyperspectral imaging. A population comprising 98 seed lots representing a wide range of MWT at seed source origin was subjected to an artificial freeze event. The visual assessment of freeze damage and MWT were …
Engineering Students’ Perceptions Of Mathematical Modeling In A Learning Module Centered On A Hydrologic Design Case Study, Madeline F. Merck, Melissa A. Gallagher, Emad Habib, David G. Tarboton
Engineering Students’ Perceptions Of Mathematical Modeling In A Learning Module Centered On A Hydrologic Design Case Study, Madeline F. Merck, Melissa A. Gallagher, Emad Habib, David G. Tarboton
Civil and Environmental Engineering Faculty Publications
Engineering students need to spend time engaging in mathematical modeling tasks to reinforce their learning of mathematics through its application to authentic problems and real world design situations. Technological tools and resources can support this kind of learning engagement. We produced an online module that develops students‚Äô mathematical modeling skills while developing knowledge of the fundamentals of rainfall-runoff processes and engineering design. This study examined how 251 students at two United States universities perceived mathematical modeling as implemented through the online module over a 5-year period. We found, subject to the limitation that these are perceptions from not all students, …
Toward Open And Reproducible Environmental Modeling By Integrating Online Data Repositories, Computational Environments, And Model Application Programming Interfaces, Young-Don Choi, Jonathan L. Goodall, Jeffrey M. Sadler, Anthony M. Castronova, Andrew Bennett, Zhiyu Li, Bart Nijssen, Shaowen Wang, Martyn P. Clark, Daniel P. Ames, Jeffery S. Horsburgh, Hong Yi, Christina Bandaragoda, Martin Seul, Richard Hooper, David G. Tarboton
Toward Open And Reproducible Environmental Modeling By Integrating Online Data Repositories, Computational Environments, And Model Application Programming Interfaces, Young-Don Choi, Jonathan L. Goodall, Jeffrey M. Sadler, Anthony M. Castronova, Andrew Bennett, Zhiyu Li, Bart Nijssen, Shaowen Wang, Martyn P. Clark, Daniel P. Ames, Jeffery S. Horsburgh, Hong Yi, Christina Bandaragoda, Martin Seul, Richard Hooper, David G. Tarboton
Civil and Environmental Engineering Faculty Publications
Cyberinfrastructure needs to be advanced to enable open and reproducible environmental modeling research. Recent efforts toward this goal have focused on advancing online repositories for data and model sharing, online computational environments along with containerization technology and notebooks for capturing reproducible computational studies, and Application Programming Interfaces (APIs) for simulation models to foster intuitive programmatic control. The objective of this research is to show how these efforts can be integrated to support reproducible environmental modeling. We present first the high-level concept and general approach for integrating these three components. We then present one possible implementation that integrates HydroShare (an online …
Frontier: Autonomy In Detection, Actuation, And Planning For Robotic Weeding Systems, Piyush Pandey, Hemanth Narayan Dakshinamurthy, Sierra N. Young
Frontier: Autonomy In Detection, Actuation, And Planning For Robotic Weeding Systems, Piyush Pandey, Hemanth Narayan Dakshinamurthy, Sierra N. Young
Civil and Environmental Engineering Faculty Publications
Weeds are a persistent and significant problem in agricultural production. Weeds, which tend to grow and produce very rapidly, compete with crops for critical resources, which can significantly reduce crop yields (Zimdahl, 2007). Herbicides are one of the most common and inexpensive approaches to controlling weeds; however, their continued and widespread use has prompted concerns due to off-target movement and steadily rising herbicide-resistant weed populations (Westwood et al., 2018). Given the significance of increasing herbicide-resistant weed populations and economic pressures to reduce costs associated with weeding, there is a need to implement more sustainable weed management approaches. Integrated weed management …
A Survey Of Public Datasets For Computer Vision Tasks In Precision Agriculture, Yuzhen Lu, Sierra N. Young
A Survey Of Public Datasets For Computer Vision Tasks In Precision Agriculture, Yuzhen Lu, Sierra N. Young
Civil and Environmental Engineering Faculty Publications
Computer vision technologies have attracted significant interest in precision agriculture in recent years. At the core of robotics and artificial intelligence, computer vision enables various tasks from planting to harvesting in the crop production cycle to be performed automatically and efficiently. However, the scarcity of public image datasets remains a crucial bottleneck for fast prototyping and evaluation of computer vision and machine learning algorithms for the targeted tasks. Since 2015, a number of image datasets have been established and made publicly available to alleviate this bottleneck. Despite this progress, a dedicated survey on these datasets is still lacking. To fill …
Sharpening Ecostress And Viirs Land Surface Temperature Using Harmonized Landsat-Sentinel Surface Reflectances, Jie Xue, Martha C. Anderson, Feng Gao, Christopher Hain, Liang Sun, Yun Yang, Kyle R. Knipper, William P. Kustas, Alfonso F. Torres-Rua, Mitch Schull
Sharpening Ecostress And Viirs Land Surface Temperature Using Harmonized Landsat-Sentinel Surface Reflectances, Jie Xue, Martha C. Anderson, Feng Gao, Christopher Hain, Liang Sun, Yun Yang, Kyle R. Knipper, William P. Kustas, Alfonso F. Torres-Rua, Mitch Schull
Civil and Environmental Engineering Faculty Publications
Land surface temperature (LST) is a key diagnostic indicator of agricultural water use and crop stress. LST data retrieved from thermal infrared (TIR) band imagery, however, tend to have a coarser spatial resolution (e.g., 100 m for Landsat 8) than surface reflectance (SR) data collected from shortwave bands on the same instrument (e.g., 30 m for Landsat). Spatial sharpening of LST data using the higher resolution multi-band SR data provides an important path for improved agricultural monitoring at sub-field scales. A previously developed Data Mining Sharpener (DMS) approach has shown great potential in the sharpening of Landsat LST using Landsat …
Spectral Light-Reflection Data Dimensionality Reduction For Timely Detection Of Yellow Rust, Ran Aharoni, Valentyna Klymiuk, Benny Sarusi, Sierra N. Young, Tzion Fahima, Barak Fishbain, Shai Kendler
Spectral Light-Reflection Data Dimensionality Reduction For Timely Detection Of Yellow Rust, Ran Aharoni, Valentyna Klymiuk, Benny Sarusi, Sierra N. Young, Tzion Fahima, Barak Fishbain, Shai Kendler
Civil and Environmental Engineering Faculty Publications
Yellow rust (YR) wheat disease is one of the major threats to worldwide wheat production, and it often spreads rapidly to new and unexpected geographic locations. To cope with this threat, integrated pathogen management strategies combine disease-resistant plants, sensors monitoring technologies, and fungicides either preventively or curatively, which come with their associated monetary and environmental costs. This work presents a methodology for timely detection of YR that cuts down on hardware and computational requirements. It enables frequent detailed monitoring of the spread of YR, hence providing the opportunity to better target mitigation efforts which is critical for successful integrated disease …
Implications Of Soil And Canopy Temperature Uncertainty In The Estimation Of Surface Energy Fluxes Using Tseb2t And High-Resolution Imagery In Commercial Vineyards, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Luis Sanchez, Nick Dokoozlian
Implications Of Soil And Canopy Temperature Uncertainty In The Estimation Of Surface Energy Fluxes Using Tseb2t And High-Resolution Imagery In Commercial Vineyards, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Luis Sanchez, Nick Dokoozlian
Civil and Environmental Engineering Faculty Publications
Estimation of surface energy fluxes using thermal remote sensing–based energy balance models (e.g., TSEB2T) involves the use of local micrometeorological input data of air temperature, wind speed, and incoming solar radiation, as well as vegetation cover and accurate land surface temperature (LST). The physically based Two-source Energy Balance with a Dual Temperature (TSEB2T) model separates soil and canopy temperature (Ts and Tc) to estimate surface energy fluxes including Rn, H, LE, and G. The estimation of Ts and Tc components for the TSEB2T model relies on the linear relationship between the composite land surface temperature and a vegetation index, namely …
To What Extent Does The Eddy Covariance Footprint Cutoff Influence The Estimation Of Surface Energy Fluxes Using Two Source Energy Balance Model And High-Resolution Imagery In Commercial Vineyards?, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Louis Sanchez, Nick Dokoozlian
To What Extent Does The Eddy Covariance Footprint Cutoff Influence The Estimation Of Surface Energy Fluxes Using Two Source Energy Balance Model And High-Resolution Imagery In Commercial Vineyards?, Ayman Nassar, Alfonso F. Torres-Rua, William Kustas, Héctor Nieto, Mac Mckee, Lawrence Hipps, Joseph Alfieri, John H. Prueger, Maria Mar Alsina, Lynn Mckee, Calvin Coopmans, Louis Sanchez, Nick Dokoozlian
Civil and Environmental Engineering Faculty Publications
Validation of surface energy fluxes from remote sensing sources is performed using instantaneous field measurements obtained from eddy covariance (EC) instrumentation. An eddy covariance measurement is characterized by a footprint function / weighted area function that describes the mathematical relationship between the spatial distribution of surface flux sources and their corresponding magnitude. The orientation and size of each flux footprint / source area depends on the micro-meteorological conditions at the site as measured by the EC towers, including turbulence fluxes, friction velocity (ustar), and wind speed, all of which influence the dimensions and orientation of the footprint. The …