Search Results - "Segun M. Adedapo"

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  1. 1

    A Comparison of Probability Density Functions Fitted by Moments and Maximum Likelihood Estimation Methods Used for Diameter Distribution Estimation by Jose Javier Gorgoso-Varela, Segun M. Adedapo, Friday N. Ogana

    Published in Forests (01-03-2024)
    “…Modeling diameter distribution is a crucial aspect of forest management, requiring the selection of an appropriate probability density function or cumulative…”
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    Journal Article
  2. 2

    Development of Digital Terrain Model Under High Dense Forest Cover Using USGS and Drone Lidar Data by Adedapo, Segun M., Zurqani, Hamdi A.

    “…Digital Terrain Models (DTMs) are used for various purposes, including land use planning, forest resource management, and soil science. However, the accuracy…”
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    Conference Proceeding
  3. 3

    Early Detection of Pine Needle Diseases in Southeast US Forests: A Deep Learning Approach Using UAV Imagery by Adedapo, Segun M., Zurqani, Hamdi A., McAlpine, John F., Blazier, Michael A., Cunningham, Kyle

    “…Fungal diseases pose a significant threat to the health of forests in the Southeast United States, and brown spot needle blight (Mycosphaeralla dearnessii) is…”
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    Conference Proceeding
  4. 4

    Evaluating the performance of various interpolation techniques on digital elevation models in highly dense forest vegetation environment by Adedapo, Segun M., Zurqani, Hamdi A.

    Published in Ecological informatics (01-07-2024)
    “…A Digital Elevation Model (DEM) is a numerical representation of the Earth's topography using an array of cells or pixels. DEMs are important for various…”
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    Journal Article
  5. 5

    Applications Of Machine Learning Techniques In Predicting Selected Soil Properties In Lower Mississippi Alluvial Valley Green Tree Reservoir by Adedapo, Segun M, Zurqani, Hamdi A., Ficklin, Robert L., Osborne, Douglas C.

    “…Measurement of fine-scale soil properties is important for understanding and monitoring the spatial distribution of soil properties, especially in wetland…”
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    Conference Proceeding