eating-quality – NIR Calibration Model

Calibration by CalibrationModel.com : Mango DM : SEP = 0.7247
CSet : calibration set, VSet : validation set, TSet : test set
Spectral Range : 285 to 1200 Nanometers [nm] (306 datapoints)

Download the calibration model file here
with some of the spectra as JCAMP-DX
to predict with free NIR-Predictor software.

Screenshot of a part of NIR-Predictor's Prediction Report.

Open Access Data from the paper

https://doi.org/10.1016/j.chemolab.2021.104287
"A benchmark RMSEP of 0.79% was attained."
"Readers are encouraged to use this big data set and produce innovative ideas and algorithms to achieve RMSEP better than 0.79%."

Reference:

Puneet Mishra, Dário Passos, "A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit", Chemometrics and Intelligent Laboratory Systems,Volume 212,2021,104287,ISSN 0169-7439,https://doi.org/10.1016/j.chemolab.2021.104287.

Screenshot of a part of NIR-Predictor's Prediction Report.

Open Access Data from the paper

https://doi.org/10.1016/j.chemolab.2021.104287
"A benchmark RMSEP of 0.79% was attained."
"Readers are encouraged to use this big data set and produce innovative ideas and algorithms to achieve RMSEP better than 0.79%."

Reference:

Puneet Mishra, Dário Passos, "A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit", Chemometrics and Intelligent Laboratory Systems,Volume 212,2021,104287,ISSN 0169-7439,https://doi.org/10.1016/j.chemolab.2021.104287.

Screenshot of a part of NIR-Predictor's Prediction Report.

Open Access Data from the paper

https://doi.org/10.1016/j.chemolab.2021.104287
"A benchmark RMSEP of 0.79% was attained."
"Readers are encouraged to use this big data set and produce innovative ideas and algorithms to achieve RMSEP better than 0.79%."

Reference:

Puneet Mishra, Dário Passos, "A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit", Chemometrics and Intelligent Laboratory Systems,Volume 212,2021,104287,ISSN 0169-7439,https://doi.org/10.1016/j.chemolab.2021.104287.

Tag: eating-quality

Mango DM – dry matter prediction in mango fruit with near-infrared (NIR) spectroscopy Mango DM – Vorhersage der Trockenmasse in Mangofrüchten mit Nah-Infrarot (NIR)-SpektroskopieMango DM – previsione della materia secca nei frutti di mango con la spettroscopia nel vicino infrarosso (NIR)