AgriMetSoft

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    Drought Monitor And Prediction 1.0

    AgriMetSoft - Comercial -
    Drought Monitor And Prediction by AgriMetSoft AgriMetSoft offers the Drought Monitor and Prediction software, a powerful tool for monitoring and predicting drought conditions. Mais informações...
  • O
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    Open NC File 1.0

    AgriMetSoft - Comercial -
    Open NC File by AgriMetSoft: An In-Depth Review Open NC File by AgriMetSoft is a software application designed specifically for agricultural professionals and data analysts who need to view and analyze NC file formats used in precision … Mais informações...
  • N
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    netcdf viewer 1.0

    AgriMetSoft - Freeware -
    NetCDF Viewer by AgriMetSoft NetCDF Viewer by AgriMetSoft is a powerful software application designed for viewing and analyzing NetCDF files. Mais informações...
  • N
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    Netcdf Extractor 2.0

    AgriMetSoft - Shareware -
    When a user wants to extract several files of nc format, simultaneously, he/she requires to load them at a same time with together. Mais informações...
  • K
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    KBDIS 1.0

    AgriMetSoft - Freeware -
    In order to estimate flammability in forest and wild land areas of USA, Keetch and Byram (1968) developed a drought index namely Keetch-Byram drought index (KBDI). Mais informações...
  • R
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    RDIT 1.0

    AgriMetSoft - Shareware -
    Assessment and Monitoring DroughtMeteorological droughts, which is caused by a decit in precipitation with respect to the climatological average for a given period and region. To measuring the value of drought, we need a useful tool. Mais informações...
  • N
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    Netcdf-Extractor 1.0

    AgriMetSoft - Shareware -
    Unidatas Network Common Data Form (NetCDF) was developed and is maintained at Unidata, part of the University Corporation for Atmospheric Research (UCAR) Community Programs (UCP). Mais informações...
  • K
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    KNN-WG 1.0

    AgriMetSoft - Shareware -
    The K-nearest neighbors (K-NN) is an analogous approach. This method has its origin as a non-parametric statistical pattern recognition procedure to distinguish between different patterns according to a selection criterion. Mais informações...