Evaluation of 1D Convolutional Neural Network in Estimation of Mango Dry Matter Content

Published: 8 February 2024| Version 1 | DOI: 10.17632/mc9jshwb38.1
Contributor:
Jeremy Walsh

Description

This data accompanies the research presented in the upcoming publication Walsh et al. 2024 "Evaluation of 1D Convolutional Neural Network in Estimation of Mango Dry Matter Content". It is intended to be used in conjunction with the code complementing the materials and methods of this study, available on GitHub at: https://github.com/jemjemwalsh/research-deep-learning-nirs/tree/main/publications/Eval-1D-CNN-Mango-DM The original dataset before pretreatment and preparation for this study are available as Mango DMC and spectra Anderson et al. 2020 on Mendeley Data at: https://data.mendeley.com/datasets/46htwnp833/3

Files

Steps to reproduce

Follow the procedure listed in the materials and methods in the companion paper.

Institutions

Central Queensland University

Categories

Near Infrared Spectroscopy, Absorbance, Mango, Deep Learning

Licence