US Department of Agriculture
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The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.
The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
The conference is the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners.
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)
Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
IECEC 96. Proceedings of the 31st Intersociety Energy Conversion Engineering Conference, 1996
The US Department of Energy's Office of Transportation Technologies, DOE's National Renewable Energy Laboratory, the US Department of Agriculture's Office of Energy and Ecobalance are carrying out a comprehensive life cycle assessment (LCA) of soy-based diesel fuel (biodiesel) to quantify the environmental aspects of the "cradle-to-grave" production and use of biodiesel. The purpose of the project is to produce an ...
[Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management, 1991
IEEE Spectrum, 2003
Electron beams and X-rays might make some foods safer to eat. But is irradiation a silver bullet or an industrial-strength placebo for killer contaminants in the food chain? This paper discusses the technology and issues involved in this aspect of food safety. Even though it is highly effective at killing bugs and bacteria, irradiation is at best only a partial ...
Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium, 1993
The multispectral and multitemporal Landsat-FCC (1:250000), Indian Remote Sensing Satellite-IA-FCC (1:50000) and aerial photographs (1:25000) of the Gurgaon district are interpreted. The physiographic units identified are (i) Aravally hills (ii) pediments (iii) Sahibi plain (iv) alluvial plain and (v) intermontane basinal complex. The soils of each units are classified according to the USDA system of soil taxonomy and physiography-soil relationships ...
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315), 1999
Discusses the use of soft computing techniques such as neural networks and fuzzy logic based approaches in the identification of various types of trash (non-lint material/foreign matter) in ginned cotton. Lint is the cotton fiber; non-lint or foreign matter is everything other than lint. The effectiveness of a hybrid neuro-fuzzy structure, namely the adaptive-network-based fuzzy inference system to classify trash ...
KeyTalks: The US Department of Energy's Perspective on Achieving Low Cost High Efficiency Energy
IEEE Innovation Day 2011- Plenary Address
Catherine A. Novelli - Internet Inclusion: Global Connect Stakeholders Advancing Solutions, Washington DC, 2016
U.S. Department of Energy Advanced Manufacturing Overview - Dev Shenoy: 2016 International Conference on Rebooting Computing
Opening Panel: 2016 End to End Trust and Security Workshop for the Internet of Things
Water and Agriculture - GHTC 2012 Session - Chilka Sharma
Speaker Manu Bhardwaj - ETAP San Jose 2015
Electric Ship Technologies Symposium (Member Access)
The Use of Robotic and Advanced Technology in Neurorehabilitation
Soar! Claiming Your Power and Getting What You REALLY Want - Seeta Hariharan keynote from IEEE WIE Forum USA East 2017
Remote Sensing in Community Forestry - GHTC 2012 Sessions - Eric Kaiser & Kimberly Roberts
Microstructure-Property Correlations in Superconducting Wires - Applied Superconductivity Conference 2018
Welcoming Remarks - Internet Inclusion: Global Connect Stakeholders Advancing Solutions, Washington DC, 2016
How to be a Star Engineer
Ignite! Session: Blake Lloyd
Cyber Security: Why It’s Everyone’s Business - Panel at IEEE WIE Forum USA East 2017
HKN Member Payman Dehghanian Receives Award at 2015 EAB Awards Ceremony
M. George Craford accepts the IEEE Edison Medal - Honors Ceremony 2017
Aperture Radar Products for the Management of Land and Water - GHTC 2012 Session - Guiseppe Ruello
The US Department of Energy's Office of Transportation Technologies, DOE's National Renewable Energy Laboratory, the US Department of Agriculture's Office of Energy and Ecobalance are carrying out a comprehensive life cycle assessment (LCA) of soy-based diesel fuel (biodiesel) to quantify the environmental aspects of the "cradle-to-grave" production and use of biodiesel. The purpose of the project is to produce an analytical tool and database for use by industry and government decision makers involved in alternative fuel use and production. The study also includes a parallel effort to develop a life cycle model for petroleum diesel fuel. The two models are used to compare the life cycle energy and environmental implications of petroleum diesel and biodiesel derived from soybean. Several scenarios are studied, analyzing the influence of transportation distances, agricultural practice and allocation rules used. The results of an LCA such as this are strongly influenced by decisions made at the study outset, related to scoping, modeling and methodology. Objectivity as well as acceptance of the results depend upon careful definition and consideration of such issues. This paper communicates the project scoping decisions which have been made in response to a series of stakeholder peer reviews.
Electron beams and X-rays might make some foods safer to eat. But is irradiation a silver bullet or an industrial-strength placebo for killer contaminants in the food chain? This paper discusses the technology and issues involved in this aspect of food safety. Even though it is highly effective at killing bugs and bacteria, irradiation is at best only a partial solution to the problem of food safety.
The multispectral and multitemporal Landsat-FCC (1:250000), Indian Remote Sensing Satellite-IA-FCC (1:50000) and aerial photographs (1:25000) of the Gurgaon district are interpreted. The physiographic units identified are (i) Aravally hills (ii) pediments (iii) Sahibi plain (iv) alluvial plain and (v) intermontane basinal complex. The soils of each units are classified according to the USDA system of soil taxonomy and physiography-soil relationships are established. The major soil hazards in relation to agricultural land use are also studied.<<ETX>>
Discusses the use of soft computing techniques such as neural networks and fuzzy logic based approaches in the identification of various types of trash (non-lint material/foreign matter) in ginned cotton. Lint is the cotton fiber; non-lint or foreign matter is everything other than lint. The effectiveness of a hybrid neuro-fuzzy structure, namely the adaptive-network-based fuzzy inference system to classify trash types is compared to other techniques. Shape descriptors like shape factor, extent, and solidity measures are used as features to distinguish trash types.
Describes how to approach the abstract as a thumbnail sketch of a report. Using the same principles of clear and direct writing that apply to the abstract, the author also discusses some features of technical writing that characterize the total document: fluent organizational structure, clear and consistent terminology, and avoidance of specific grammatical pitfalls.<<ETX>>
Abstract-The 3 themes DEM·Soil.shp and Field.shp required by AnnAGNPS are prepared by MapGIS 6.5, ENVI 4.0 and ArcView GIS 3.3 through data transformation. These data layers generated the spatial data and themes that are used in AnnAGNPS, they are executed finally as soon as the parameters used in AnnAGNPS are calibrated. The simulated values of total nitrogen and phosphorus are 27.5 t/a and 8.03 t/a and the observed values are 31.06 t/a and 10.43 t/a respectively. The scale error values are 11.5% and 23% respectively. They are all underestimated because of the fast use change format. The error of simulated values of nitrogen and phosphors are acceptable. The simulated results show that AnnAGNPS can simulated transport and loss of the nutrients in small river watershed in karst area.
To estimate sensible heat flux using thermal infra-red temperature T/sub r/ over sparse semi-arid vegetation, a knowledge of either the corrective term kB/sup -1/ or the difference between radiometric and aerodynamic surface temperatures T/sub r/-T/sub o/ is usually required. Several experimental data sets acquired over various sparse vegetation in semi-arid areas (fallow savannah and millet field of HAPEX-Sahel, grassland and shrubland of MONSOON' 90) are used to study the experimental behavior of these variables. When considering the extreme variability of kB/sup -1/ and the difficulty in predicting its value, the relationship between T/sub r/ and T/sub o/ was more thoroughly studied and parameterized using the conceptual two-layer model of Shuttleworth and Wallace (1985).
Understanding hydrologic processes is fundamental for characterizing agricultural chemical behavior and crop production at the field and watershed scales. Unfortunately, crop production patter" and hydrologic processes exhibit significant spatial and temporal variability. The concept of soil moisture response zones has been proposed and found to be an effective means for identifying areas within a field that are hydrologically similar. Soil moisture response zones were determined using normalized spatial yield patterns from divergent climatic conditions on a small watershed at the USDA- ARS Agricultural Research Center, Beltsville, Maryland USA. Subsurface hydrology was determined by identifying subsurface convergent flow pathway locations using ground-penetrating radar (GPR), digital elevation maps (DEM) and ;I GIs. Frequent volumetric soil moisture measurements confirmed the existence of discrete preferential funnel flow processes occurring near the GPR-identified preferential flow pathways. Although the spatial variability of corn (Zea mays L.) grain yield generated coefficients of variation > 114% during a drought, yield were strongly effected by their proximity to GPRidentified subsurface flow pathways. Corn grain yields and the soil moisture response index decreased as the horizontal distance from the GPR- identified subsurface flow pathways increased during a drought. During a growing season where precipitation was aibundant, this quantitative relationship was reversed. This research suggests that GPR is an effective tool for quantifying the impact hydrology on crop production.
Ultrasonic techniques have shown good potential for estimating tissue composition for noninvasive imaging, diagnosis, and meat evaluation. Research carried out to define useful ultrasonic spectral parameters for tissue characterization, and to test multiparameter pattern recognition methods for tissue classification. The feasibility of two pattern recognition methods, linear discriminant analysis and artificial neural networks was studied for their applications to beef quality grading. The differentiating criteria were the tissue composition (% fat) and the tissue inhomogeneity (fat marbling). The discriminant analysis and neural network both showed good potential for evaluating marbling grades and % fat for beef rib-eye quality grading using ultrasonic backscattered spectral parameters.<<ETX>>
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