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3rd PhD chapter - Classification of aerial, multispectral imagery of myrtle rust infected vegetation

License: MIT License

R 100.00%

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DOI

This repository contains code needed to reproduce the article:

Heim, RHJ; Wright, IJ; Scarth, P; Carnegie, AJ; Taylor, D and Oldeland, J. (2019) Multispectral, Aerial Disease Detection for Myrtle Rust (Austropuccinia psidii) on a Lemon Myrtle Plantation, drones, XX(xx), pp. XXX. doi: XXX.

Find the article HERE

  • This repository follows the principles of reproducible research (Peng, 2011).

  1. For access to the source code, see DataAnalysis.R file or source code
  2. For access to the raw data, see data folder or raw data

When using the raw data, please cite the original publication.

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