Spatiotemporal Metabolic Network Models Reveal Complex Autotroph-Heterotroph Biofilm Interactions Governed By Photon Incidences,
2022
University of Massachusetts
Spatiotemporal Metabolic Network Models Reveal Complex Autotroph-Heterotroph Biofilm Interactions Governed By Photon Incidences, Poonam Phalak, Hans C. Bernstein, Stephen R. Lindemann, Ryan S. Renslow, Dennis G. Thomas, Michael A. Henson, Hyun-Seob Song
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Autotroph-heterotroph interactions are ubiquitous in natural environment and play a key role in controlling various essential ecosystem functions, such as production and utilization of organic matter, cycling of nitrogen, sulfur, and other chemical elements. Understanding how these biofilm metabolic interactions are constrained in space and time remains challenging because fully predictive models designed for this purpose are currently limited. Toward filling this gap, here we developed community metabolic network models for two autotroph-heterotroph biofilm consortia (termed UCC-A and UCC-O), which share a suite of common heterotrophic members but have a single distinct photoautotrophic cyanobacterium (Phormidesmis priestleyi str. ANA and …
Ai-Enabled Droplet Detection And Tracking For Agricultural Spraying Systems,
2022
South Dakota State University
Ai-Enabled Droplet Detection And Tracking For Agricultural Spraying Systems, Praneel Acharya, Travis A. Burgers, Doang Nguyen
Mechanical Engineering Faculty Publications
his work leverages recent advancements in com- puter vision and deep learning to detect and track the motion of droplets captured by a camera. While classical computer vision techniques have been employed for detection and tracking, those approaches have limitations and are not trivially extended to droplets. We approach the problems of droplet detection and tracking through a data-driven framework, in which an annotated database of droplet images is built and object detection and tracking models are trained on this database. The accuracy of the model is evaluated and the whole process is discussed. At this point, droplet geometric properties …
Dynamics Of Crop Evapotranspiration Of Four Major Crops On A
Large Commercial Farm: Case Of The Navajo Agricultural
Products Industry, New Mexico, Usa,
2022
New Mexico State University
Dynamics Of Crop Evapotranspiration Of Four Major Crops On A Large Commercial Farm: Case Of The Navajo Agricultural Products Industry, New Mexico, Usa, Koffi Djaman, Komlan Koudahe, Ali T. Mohammed
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Crop evapotranspiration (ETa) is the main source of water loss in farms and watersheds, and with its effects felt at a regional scale, it calls for irrigation professionals and water resource managers to accurately assess water requirements to meet crop water use. On a multi-crop commercial farm, different factors affect cropland allocation, among which crop evapotranspiration is one of the most important factors regarding the seasonally or annually available water resources for irrigation in combination with the in-season effective precipitation. The objective of the present study was to estimate crop evapotranspiration for four major crops grown on the Navajo Agricultural …
Strategic Planning For Exchanging Treated Urban Wastewater For Agricultural Water With
The Approach Of Supplying Sustainable Urban Water: A Case Study Of Mashhad, Iran,
2022
Ferdowsi University of Mashhad
Strategic Planning For Exchanging Treated Urban Wastewater For Agricultural Water With The Approach Of Supplying Sustainable Urban Water: A Case Study Of Mashhad, Iran, Sasan Esfandiari, Arash Dourandish, Ali Firoozzare, Saleh Taghvaeian
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Considering the increasing demand for urban water and the low water-use efficiency in the agricultural sector, an exchange of treated urban wastewater for agricultural water could be a fundamental solution for administering sustainable management of water resources. However, implementing the intersectoral water exchange project is influenced by the economic, social, and environmental conditions of each region, especially in developing countries. Therefore, this study sought to identify the best possible strategies for exchanging treated urban wastewater for agricultural water in Mashhad city, located in Iran, a country that suffers from decreased urban water resources. Based on the interviews conducted with the …
Biochar Preparation, Investigation Of Properties And Application As A Low-Cost Adsorbent – A Review,
2022
Tashkent State Technical University named after Islam Karimov
Biochar Preparation, Investigation Of Properties And Application As A Low-Cost Adsorbent – A Review, A Kh Aripov, S M. Turabdzhanov, Sh Komilova, O Sh Qodirov, G S. Rakhimova, T V. Darabkova, Zh Aimenova, L S. Rakhimova
Technical science and innovation
An overview of current developments in biochar application in water and wastewater treatment is given in this article, along with a brief explanation of the sorption mechanisms for removing contaminants and the techniques for biochar preparation. In order to encourage the continued use of biochar in effective water and wastewater treatment, future research directions and environmental concerns about biochar are also presented.
A Novel Activated Biochar-Based Immunosensor For Rapid Detection Of E. Coli O157:H7,
2022
University of Arkansas, Fayetteville
A Novel Activated Biochar-Based Immunosensor For Rapid Detection Of E. Coli O157:H7, Abdus Sobhan, Fei Jia, Lisa Cooney Kelso, Sonatan Kumar Biswas, Kasiviswanathan Muthukumarappan, Changyong Cao, Lin Wei, Yanbin Li
Biological and Agricultural Engineering Faculty Publications and Presentations
E. coli O157:H7, one of the major foodborne pathogens, can cause a significant threat to the safety of foods. The aim of this research is to develop an activated biochar-based immunosensor that can rapidly detect E. coli O157:H7 cells without incubation in pure culture. Biochar was developed from corn stalks using proprietary reactors and then activated using steam-activation treatment. The developed activated biochar presented an enhanced surface area of 830.78 m2/g. To develop the biosensor, the gold electrode of the sensor was first coated with activated biochar and then functionalized with streptavidin as a linker and further immobilized with biotin-labeled …
Creating Sustainable Biofuels Using Essential Oil Distillery Leaf Waste Near Vohimana Reserve,
2022
SIT Study Abroad
Creating Sustainable Biofuels Using Essential Oil Distillery Leaf Waste Near Vohimana Reserve, Ashley Cohen
Independent Study Project (ISP) Collection
Like most of Madagasacar’s population, people around Vohimana Reserve rely on traditional fuels like firewood and charcoal for cooking and heating. As a result, the region is facing deforestation, which poses a threat to biodiversity and the livelihoods of local populations. A local essential oil distillery was created by the NGO L’Homme et L’Environnement as a sustainable income generator to combat deforestation and protect biodiversity. The distillery produces leaf biomass that can be mixed with binding agent(s) and transformed into biofuel as a sustainable alternative to traditional fuels. 14 biofuels were created by combining distillery leaf biomass and various percent …
Interaction Networks Are Driven By Community-Responsive
Phenotypes In A Chitin-Degrading Consortium Of Soil Microbes,
2022
Pacific Northwest National Laboratory
Interaction Networks Are Driven By Community-Responsive Phenotypes In A Chitin-Degrading Consortium Of Soil Microbes, Ryan Mcclure, Yuliya Farris, Robert Danczak, William Nelson, Hyun-Seob Song, Aimee Kessell, Sneha Couvillion, Christopher Henry, Janet K. Jansson, Kristen S. Hofmockel
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Soil microorganisms provide key ecological functions that often rely on metabolic interactions between individual populations of the soil microbiome. To better understand these interactions and community processes, we used chitin, a major carbon and nitrogen source in soil, as a test substrate to investigate microbial interactions during its decomposition. Chitin was applied to a model soil consortium that we developed, “model soil consortium-2” (MSC-2), consisting of eight members of diverse phyla and including both chitin degraders and nondegraders. A multiomics approach revealed how MSC-2 community-level processes during chitin decomposition differ from monocultures of the constituent species. Emergent properties of both …
Interaction Networks Are Driven By Community-Responsive
Phenotypes In A Chitin-Degrading Consortium Of Soil Microbes,
2022
Pacific Northwest National Laboratory
Interaction Networks Are Driven By Community-Responsive Phenotypes In A Chitin-Degrading Consortium Of Soil Microbes, Ryan Mcclure, Yuuliya Farris, Robert Danczak, William Nelson, Hyun-Seob Song, Aimee Kessell, Joon-Yong Lee, Sneha Couvillion, Christopher Henry, Janet K. Jansson, Kristen S. Hofmockel
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Soil microorganisms provide key ecological functions that often rely on metabolic interactions between individual populations of the soil microbiome. To better understand these interactions and community processes, we used chitin, a major carbon and nitrogen source in soil, as a test substrate to investigate microbial interactions during its decomposition. Chitin was applied to a model soil consortium that we developed, “model soil consortium-2” (MSC-2), consisting of eight members of diverse phyla and including both chitin degraders and nondegraders. A multiomics approach revealed how MSC-2 community-level processes during chitin decomposition differ from monocultures of the constituent species. Emergent properties of both …
Electrochemical Biosensing And Deep
Learning-Based Approaches In The
Diagnosis Of Covid-19: A Review,
2022
Ardahan University, University of Nebraska-Lincoln
Electrochemical Biosensing And Deep Learning-Based Approaches In The Diagnosis Of Covid-19: A Review, Omer Sadak, Ferhat Sadak, Ozal Yildirim, Nicole M. Iverson, Rizwan Qureshi, Muhammed Talo, Chui Ping Ooi, U. Rajendra Acharya, Sundaram Gunasekaran, Tanvir Alam
Department of Agricultural and Biological Systems Engineering: Faculty Publications
COVID-19 caused by the transmission of SARS-CoV-2 virus taking a huge toll on global health and caused life-threatening medical complications and elevated mortality rates, especially among older adults and people with existing morbidity. Current evidence suggests that the virus spreads primarily through respiratory droplets emitted by infected persons when breathing, coughing, sneezing, or speaking. These droplets can reach another person through their mouth, nose, or eyes, resulting in infection. The "gold standard'' for clinical diagnosis of SARS-CoV-2 is the laboratory-based nucleic acid amplification test, which includes the reverse transcription-polymerase chain reaction (RT-PCR) test on nasopharyngeal swab samples. The main concerns …
Crop Response To Thermal Stress Without Yield Loss In Irrigated Maize And
Soybean In Nebraska,
2022
University of Nebraska-Lincoln
Crop Response To Thermal Stress Without Yield Loss In Irrigated Maize And Soybean In Nebraska, Sandeep Bhatti, Derek M. Heeren, Steven R. Evett, Susan A. O'Shaughnessy, Daran Rudnick, Trenton E. Franz, Yufeng Ge, Christopher M.U. Neale
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Thermal sensing provides rapid and accurate estimation of crop water stress through canopy temperature data. Canopy temperature is highly dependent on the transpiration rate of the leaves. It is usually assumed that any reduction in crop evapotranspiration (ET) leads to crop yield loss. As a result, an increase in canopy temperature due to a decrease in crop ET would indicate crop yield loss. This research evaluated the hypothesis that crop water stress could be detected using canopy temperature measurements (increased leaf temperature) from infrared thermometers (IRTs) before incurring crop yield loss. This would be possible in a narrow range when …
Real-Time Irrigation Scheduling Of Maize Using Degrees Above Non-Stressed
(Dans) Index In Semi-Arid Environment,
2022
University of Nebraska–Lincoln
Real-Time Irrigation Scheduling Of Maize Using Degrees Above Non-Stressed (Dans) Index In Semi-Arid Environment, Hope Njuki Nakabuye, Daran Rudnick, Kendall C. Dejonge, Tsz Him Lo, Derek M. Heeren, Xin Qiao, Trenton E. Franz, Abia Katimbo, Jiaming Duan
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Irrigation scheduling methods have been used to determine the timing and amount of water applied to crops. Scheduling techniques can include measurement of soil water content, quantification of crop water use, and monitoring of crop physiological response to water stress. The aim of this study was to evaluate the performance of a simplified crop canopy temperature measurement (CTM) method as Irrigation Principles. Soil and Water Conservation Engineera technique to schedule irrigation for maize. Specifically, the Degrees Above Non-Stressed (DANS) index, which suggests water stress when canopy temperature exceeds the non-stressed canopy temperature (Tcns), was determined by estimating T …
Modeling Actual Evapotranspiration With Msi-Sentinel Images
And Machine Learning Algorithms,
2022
Federal University of Viçosa
Modeling Actual Evapotranspiration With Msi-Sentinel Images And Machine Learning Algorithms, Robson Argolo Dos Santos, Everardo Chartuni Mantovani, Elpídio Inácio Fernandes-Filho, Roberto Filgueiras, Rodrigo Dal Sasso Lourenço, Vinícius Bof Bufon, Christopher M. U. Neale
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The modernization of computational resources and application of artificial intelligence algorithms have led to advancements in studies regarding the evapotranspiration of crops by remote sensing. Therefore, this research proposed the application of machine learning algorithms to estimate the ETrF (Evapotranspiration Fraction) of sugar can crop using the METRIC (Mapping Evapotranspiration at High Resolution with Internalized Calibration) model with data from the Sentinel-2 satellites constellation. In order to achieve this goal, images from the MSI sensor (MultiSpectral Instrument) from the Sentinel-2 and the OLI (Operational Land Imager) and TIRS (Thermal Infrared Sensor) sensors from the Landsat-8 were acquired nearly …
Science And Food Fictions: Agricultural Technologies, The Evolution Of The Modern Industrial Diet, And Calls For A Food Revolution,
2022
University of Texas at Arlington
Science And Food Fictions: Agricultural Technologies, The Evolution Of The Modern Industrial Diet, And Calls For A Food Revolution, Tracey Daniels-Lerberg
Green Humanities: A Journal of Ecological Thought in Literature, Philosophy & the Arts
[First paragraph] Individual food choices are culturally and historically contingent practices that arise through an amalgamation of often hidden political, scientific, and economic policies that shape desire and influence access. Food, like all other man-made mechanisms of control and authority, has been used “as a political tool for […] subjugating (either economically or politically) other nations” according to William A. Dando, a professor at the University of North Dakota, who in 1975 urged American agricultural officials not to use food as “a weapon” against starving nations, something he feared was eminently possible given the economic and political climate of agricultural …
Ag-Iot For Crop And Environment Monitoring: Past, Present, And Future,
2022
University of Nebraska-Lincoln
Ag-Iot For Crop And Environment Monitoring: Past, Present, And Future, Nipuna Chamara, Md Didarul Islam, Geng Bai, Yeyin Shi, Yufeng Ge
Department of Agricultural and Biological Systems Engineering: Faculty Publications
CONTEXT: Automated monitoring of the soil-plant-atmospheric continuum at a high spatiotemporal resolution is a key to transform the labor-intensive, experience-based decision making to an automatic, data-driven approach in agricultural production. Growers could make better management decisions by leveraging the real-time field data while researchers could utilize these data to answer key scientific questions. Traditionally, data collection in agricultural fields, which largely relies on human labor, can only generate limited numbers of data points with low resolution and accuracy. During the last two decades, crop monitoring has drastically evolved with the advancement of modern sensing technologies. Most importantly, the introduction …
Antioxidant Deterioration In Active Composite Film During Storage,
2022
Brawijaya University
Antioxidant Deterioration In Active Composite Film During Storage, Anang Lastriyanto, Kurniawan Yuniarto, Cahyo Mustiko Okta Muvianto, Hary -. Kurniawan
Journal of Applied Packaging Research
Pure polylactic acid is widely used for packaging, but it has limitation due to its oxygen barrier property. We investigated oxygen scavenging active packaging by incorporating synthetic antioxidant butylated hydroxyl toluene (BHT) into matrix composite film (plasticized polylactic acid-natrium montmorillonite/NaMMT) using direct casting. The 2.2-Diphenyl-1-picrylhydrazyl (DPPH) or antiradical activity was used to investigate oxygen scavenging of butylated hydroxytoluene in PLA active composite film during 15 storage days at 30oC. Oxygen permeability was calculated by using ASTM F3136-15 method. BHT oxidation rate of the active film composite film was 0.043 times per day. The BHT was estimated fully deteriorate after 108 …
Climate And Genetic Data Enhancement Using Deep Learning Analytics To Improve Maize Yield Predictability,
2022
University of Nebraska-Lincoln
Climate And Genetic Data Enhancement Using Deep Learning Analytics To Improve Maize Yield Predictability, Parisa Sarzaeim, Francisco Muñoz-Arriola, Diego Jarquin
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Despite efforts to collect genomics and phenomics (“omics”) and environmental data, spatiotemporal availability and access to digital resources still limit our ability to predict plants’ response to changes in climate. Our goal is to quantify the improvement in the predictability of maize yields by enhancing climate data. Large-scale experiments such as the Genomes to Fields (G2F) are an opportunity to provide access to “omics” and climate data. Here, the objectives are to: (i) improve the G2F “omics” and environmental database by reducing the gaps of climate data using deep neural networks; (ii) estimate the contribution of climate and genetic database …
Neonicotinoid Pesticide And Nitrate Mixture Removal And
Persistence In Floating Treatment Wetlands,
2022
University of Nebraska-Lincoln
Neonicotinoid Pesticide And Nitrate Mixture Removal And Persistence In Floating Treatment Wetlands, Julia K. Lindgren, Tiffany L. Messer, Daniel N. Miller, Daniel D. Snow, Thomas G. Franti
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Mesocosm and microcosm experiments were conducted to explore the applicability of floating treatment wetlands (FTWs), an ecologically based management technology, to remove neonicotinoid insecticides and nitrate from surface water. The mesocosm experiment evaluated three treatments in triplicate over a 21-d period. Floating treatment wetland mesocosms completely removed nitrate-N over the course of the experiment even when neonicotinoid insecticides were present. At the completion of the experiment, 79.6% of imidacloprid and degradation byproducts and 68.3% of thiamethoxam and degradation byproducts were accounted for in the water column. Approximately 3% of imidacloprid and degradation byproducts and 5.0% of thiamethoxam and degradation byproducts …
Permafrost Landscape History Shapes Fluvial Chemistry,
Ecosystem Carbon Balance, And Potential Trajectories Of
Future Change,
2022
University of Alberta, Harvard University, Woodwell Climate Research Center
Permafrost Landscape History Shapes Fluvial Chemistry, Ecosystem Carbon Balance, And Potential Trajectories Of Future Change, Scott Zolkos, Suzanne E. Tank, Steven V. Kokelj, Robert G. Striegl, Sarah Shakil, Carolina Voigt, Oliver Sonnentag, William L. Quinton, Edward A. G. Schuur, Donatella Zona, Peter M. Lafleur, Ryan C. Sullivan, Masahito Ueyama, David P. Billesbach, David Cook, Elyn R. Humphreys, Philip Marsh
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Intensifying permafrost thaw alters carbon cycling by mobilizing large amounts of terrestrial substrate into aquatic ecosystems. Yet, few studies have measured aquatic carbon fluxes and constrained drivers of ecosystem carbon balance across heterogeneous Arctic landscapes. Here, we characterized hydrochemical and landscape controls on fluvial carbon cycling, quantified fluvial carbon fluxes, and estimated fluvial contributions to ecosystem carbon balance across 33 watersheds in four ecoregions in the continuous permafrost zone of the western Canadian Arctic: unglaciated uplands, ice-rich moraine, and organic-rich lowlands and till plains. Major ions, stable isotopes, and carbon speciation and fluxes revealed patterns in carbon cycling across ecoregions …
The Effect Of Water Management And Ratoon Rice Cropping On Methane Emissions And Harvest Yield In Arkansas,
2022
University of Arkansas, Fayetteville
The Effect Of Water Management And Ratoon Rice Cropping On Methane Emissions And Harvest Yield In Arkansas, Marguerita Leavitt
Graduate Theses and Dissertations
Sustainable intensification of rice farming is crucial to meeting human food needs while reducing environmental impacts. Rice produces 8% of all anthropogenic CH4, which is a potent greenhouse gas. CH4 emissions can potentially be reduced by cultivation practices that minimize the number of days the fields are saturated, such as dry-seeding instead of water-seeding and irrigation using the alternate wetting and drying (AWD) technique instead of delayed, continuous flooding (DF). Ratoon cropping, wherein a second crop of rice is grown from the harvested stubble of the first crop, can be used to produce additional yield with minimal labor, but may …
