Invasive Alien Plant (IAP) detection

Published: 10 July 2023| Version 1 | DOI: 10.17632/jh9g67mw3j.1
Contributor:
Perry Bafana

Description

This dataset contains the revised codes used to create the Figures in my review article on the detection of Invasive Alien Plant (IAP) species using remote sensing, machine learning, and deep learning techniques. The software used to produce the code for the charts was the RStudio 2022.07.0+548 "Spotted Wakerobin" Release (34ea3031089fa4e38738a9256d6fa6d70629c822, 2022-07-06) for Windows, Build 548, 2009-2022, PBC. Excel tables, for codes requiring data tables, have also been uploaded, including a file outlining the parameters used to carry out the codes.

Files

Steps to reproduce

The Codes used to produce these figures can be reproduced in the RStudio, preferably version 2022.07 and above.

Institutions

University of KwaZulu-Natal - Westville Campus

Categories

Remote Sensing, Machine Learning, Invasive Plants, Deep Learning

Funding

National Research Foundation

141277

Licence