File(s) not publicly available
Achieving robustness to temperature change of a NIRS-PLSR model for intact mango fruit dry matter content
journal contribution
posted on 2021-08-16, 03:56 authored by Xudong Sun, Phul SubediPhul Subedi, Kerry WalshKerry WalshTemperature impacts the extent of H bonding in water and thus impacts near infrared (NIR) spectra of fruit and influences the robustness of models between spectra and attributes such as dry matter content (DMC). Temperature correction methods including external parameter orthogonalisation (EPO), generalised least square weighting (GLSW), bias correction, repeatability file, calibration wavelength optimization and global modelling were applied to reduce the impact of sample temperature change on DMC prediction of intact mango fruit using a calibration data set of 1392 samples and a validation set of 660 samples of variable sample temperatures, drawn from 15 populations sourced from separate harvests. All methods except bias correction reduced bias corrected root mean square error of prediction (RMSEP) and increased coefficient of determination (R2). For a global model, it is recommended that at least 2.4 % of samples in the model be scanned at different temperatures. However, the EPO method is recommended overall, as it returned the lowest RMSEP and highest R2 (1.05 % w/w, and 0.82 compared with the control result of 1.43 % and 0.68, respectively), in prediction of the population with spectra acquired at three temperatures. A residual of ± 0.10×ŷ, where ŷ is the reference value, was associated with a confidence interval of 92.4 and 77.4 % for the EPO corrected and original models, respectively. The results have significance for the practical implementation of NIRS-DMC estimation of fruit in field conditions.
Funding
Category 3 - Industry and Other Research Income
History
Volume
162Start Page
1End Page
9Number of Pages
9eISSN
1873-2356ISSN
0925-5214Publisher
ElsevierPublisher DOI
Language
enPeer Reviewed
- Yes
Open Access
- No
Acceptance Date
2019-12-31External Author Affiliations
East China Jiaotong University, ChinaAuthor Research Institute
- Institute for Future Farming Systems
Era Eligible
- Yes