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Showing items 1 through 9 of 2.
  1. Library Resource
    Journal Articles & Books
    December, 2011
    Eswatini

    This article describes the use of a Bayesian network (BN) for the classification of land cover from satellite imagery in northern Swaziland. The main objective of this work was to apply and evaluate the efficacy of a BN for land-cover classification using gap-filled and terrain-corrected Landsat 7 Enhanced Thematic Mapper Plus (ETM+) imagery acquired on 15 May 2007. The posterior probabilities (parameters) were estimated using the expectation-maximization (EM) and conjugate gradient descent (CGD) algorithms.

  2. Library Resource
    December, 2011
    Eswatini, Southern Africa, Africa

    Beans are an important crop for food and income generation in Swaziland. They do very well in the higher areas of the country although can be grown in all the regions. They are also the second legume to Swazi farmers after groundnuts in importance. Different farmers grow beans for different uses such as leaves, green beans or dry beans.

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