Invasive Alien Plant (IAP) detection procedures
Published: 6 March 2023| Version 3 | DOI: 10.17632/3pj42v2jzh.3
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.
Steps to reproduce
The Codes used to produce these figures can be reproduced in the RStudio, preferably version 2022.07 and above.
University of KwaZulu-Natal - Westville Campus
Remote Sensing, Machine Learning, Deep Learning
National Research Foundation