Review: The evolution of chemometrics coupled with near infrared spectroscopy for fruit quality evaluation. II. The rise of convolutional neural networks

Jeremy Walsh, Arjun Neupane, Anand Koirala, Michael Li, and Nicholas Anderson

J. Near Infrared Spectrosc. 31(3), 109-125 (2023)  View: PDF

Forage calibration transfer from laboratory to portable near infrared spectrometers

Xueping Yang, JH Cherney, MD Casler, and Paolo Berzaghi

J. Near Infrared Spectrosc. 31(3), 126-140 (2023)  View: PDF

Multimodal close range hyperspectral imaging combined with multiblock sequential predictive modelling for fresh produce analysis

Puneet Mishra and Junli Xu

J. Near Infrared Spectrosc. 31(3), 141-149 (2023)  View: PDF

Use of hyperspectral chemical imaging to determine the age of milled rice post harvest

Nuchjira Jindagul, Yuranan Bantadjan, and Montip Chamchong

J. Near Infrared Spectrosc. 31(3), 150-157 (2023)  View: PDF

Investigating partial least squares discriminant analysis and hierarchical modelling of short wave infrared hyperspectral imaging data to distinguish production area and quality of rooibos (Aspalathus linearis)

Janine Colling, Magdalena Muller, Elizabeth Joubert, and Federico Marini

J. Near Infrared Spectrosc. 31(3), 158-167 (2023)  View: PDF