Mango DMC and NIR spectra

These datasets contain Near-infrared (NIR) absorbance spectra of the wavelength range 309-149 nm of mango mesocarp with corresponding Dry Matter Content (DMC) values.

The file "MangoDMC_NIR_Data_v3.csv" contains data as used in the publication "Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content" (Postharvest Biology and Technology, 2020, 168:111202; https://www.sciencedirect.com/science/article/pii/S0925521420301629), with addition of data from an additional harvest season, as used in the publication "Evaluation of 1D Convolutional Neural Network in Estimation of Mango Dry Matter Content" (Spectrochimica Acta Part A 2024 311: 124003; https://www.sciencedirect.com/science/article/pii/S1386142524001690). This file is as presented in version 3 of this data repository.

The current version (4) has an additional file ".csv". This file augments the data of version 3 with data from additional instruments and seasons as used in the submitted thesis of Jeremy Walsh, 2024, Central Queensland University, "Deep Learning in Estimation of Fruit Attributes Using Near Infrared Spectroscopy".

搜集汇总

背景与挑战

背景概述

该数据集包含芒果近红外吸收光谱数据（波长309-149 nm）及对应的干物质含量值，用于研究芒果品质评估。数据基于多个已发表研究，涵盖不同季节、地点和仪器，支持模型开发和验证，如卷积神经网络在干物质含量估计中的应用。