ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Agriculture.  (1)
  • Computer simulation.  (1)
  • Engineering  (1)
  • 2020-2024  (1)
  • 1995-1999  (1)
  • 1970-1974
  • 1965-1969
  • 1
    Keywords: Agriculture. ; Mechanical engineering. ; Geographic information systems. ; Computer simulation. ; Agriculture. ; Mechanical Engineering. ; Geographical Information System. ; Computer Modelling.
    Description / Table of Contents: Chapter 1 - The Agriculture Eras -- Chapter 2 - Global Navigation Satellite Systems -- Chapter 3 - Spatial and Temporal Variability Analysis -- Chapter 4 - Images and Remote Sensing Applied to Agricultural Management -- Chapter 5 - Geoprocessing Applied to Crop Management -- Chapter 6 - Sampling and Interpretation of Maps -- Chapter 7 - Agricultural Drones’ Application -- Chapter 8 - Sensors and Actuators -- Chapter 9 - Control and Automation Systems in Agricultural Machinery -- Chapter 10 - Digital Irrigation -- Chapter 11 - Digital Livestock Farming -- Chapter 12 - Internet of Things In Agriculture -- Chapter 13 - Data transmission, cloud computing and Big Data -- Chapter 14 - Machine Learning -- Chapter 15 - Platforms, Applications and Software -- Chapter 16 - Digital Data: Cycle, Standardization, Quality, Sharing and Security -- Chapter 17 - Case Study: SLC Agrícola -- Index.
    Abstract: This textbook addresses the most recent advances and main digital technologies used in farming. The reader will be able to understand the main concepts and techniques currently used to efficiently manage agricultural production systems. The book covers topics in a general and intuitive way, with examples and good illustrations.
    Type of Medium: Online Resource
    Pages: VIII, 306 p. 145 illus., 123 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783031145339
    DDC: 630
    Language: English
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Electronic Resource
    Electronic Resource
    Chichester : Wiley-Blackwell
    International Journal for Numerical Methods in Fluids 24 (1997), S. 875-892 
    ISSN: 0271-2091
    Keywords: adaptive parallel multigrid method ; local refinement criteria ; incompressible Navier-Stokes equations ; hole pressure problem ; Engineering ; Numerical Methods and Modeling
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: In this paper an adaptive parallel multigrid method and an application example for the 2D incompressible Navier-Stokes equations are described. The strategy of the adaptivity in the sense of local grid refinement in the multigrid context is the multilevel adaptive technique (MLAT) suggested by Brandt. The parallelization of this method on scalable parallel systems is based on the portable communication library CLIC and the message-passing standards: PARMACS, PVM and MPI. The specific problem considered in this work is a two-dimensional hole pressure problem in which a Poiseuille channel flow is disturbed by a cavity on one side of the channel. Near geometric singularities a very fine grid is needed for obtaining an accurate solution of the pressure value. Two important issues of the efficiency of adaptive parallel multigrid algorithms, namely the data redistribution strategy and the refinement criterion, are discussed here. For approximate dynamic load balancing, new data in the adaptive steps are redistributed into distributed memories in different processors of the parallel system by block remapping. Among several refinement criteria tested in this work, the most suitable one for the specific problem is that based on finite-element residuals from the point of view of self-adaptivity and computational efficiency, since it is a kind of error indicator and can stop refinement algorithms in a natural way for a given tolerance. Comparisons between different global grids without and with local refinement have shown the advantages of the self-adaptive technique, as this can save computer memory and speed up the computing time several times without impairing the numerical accuracy. © 1997 By John Wiley & Sons, Ltd. Int. J. Numer. Methods Fluids 24, 875-892, 1997.
    Additional Material: 13 Ill.
    Type of Medium: Electronic Resource
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...