标题/作者	年份
Recent trends in multi-block data analysis in chemometrics for multi-source data integration P Mishra, JM Roger, D Jouan-Rimbaud-Bouveresse, A Biancolillo, ... TrAC Trends in Analytical Chemistry 137, 116206	2021
A synergistic use of chemometrics and deep learning improved the predictive performance of near-infrared spectroscopy models for dry matter prediction in mango fruit P Mishra, D Passos Chemometrics and Intelligent Laboratory Systems 212, 104287	2021
Sequential fusion of information from two portable spectrometers for improved prediction of moisture and soluble solids content in pear fruit P Mishra, F Marini, B Brouwer, JM Roger, A Biancolillo, E Woltering, ... Talanta 223, 121733	2021
Realizing transfer learning for updating deep learning models of spectral data to be used in new scenarios P Mishra, D Passos Chemometrics and Intelligent Laboratory Systems 212, 104283	2021
Evaluation of a handheld ultra-compact NIR spectrometer for rapid and non-destructive determination of apple fruit quality A Pissard, EJN Marques, P Dardenne, M Lateur, C Pasquini, MF Pimentel, ... Postharvest Biology and Technology 172, 111375	2021
Partial least square regression versus domain invariant partial least square regression with application to near-infrared spectroscopy of fresh fruit P Mishra, R Nikzad-Langerodi Infrared Physics & Technology 111, 103547	2020
Chemometric pre-processing can negatively affect the performance of near-infrared spectroscopy models for fruit quality prediction P Mishra, DN Rutledge, JM Roger, K Wali, HA Khan Talanta 229, 122303	2021
A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks D Passos, P Mishra Chemometrics and Intelligent Laboratory Systems 223, 104520	2022
Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content. II. Local PLS and nonlinear models NT Anderson, KB Walsh, JR Flynn, JP Walsh Postharvest Biology and Technology 171, 111358	2021
Fast online estimation of quail eggs freshness using portable NIR spectrometer and machine learning YL Brasil, JP Cruz-Tirado, DF Barbin Food Control 131, 108418	2022
Rapid and nondestructive evaluation of soluble solids content (SSC) and firmness in apple using Vis–NIR spatially resolved spectroscopy T Ma, Y Xia, T Inagaki, S Tsuchikawa Postharvest Biology and Technology 173, 111417	2021
Technologies for forecasting tree fruit load and harvest timing—from ground, sky and time NT Anderson, KB Walsh, D Wulfsohn Agronomy 11 (7), 1409	2021
Commercial techniques for preserving date palm (Phoenix dactylifera) fruit quality and safety: A review M Sarraf, M Jemni, I Kahramanoğlu, F Artés, S Shahkoomahally, A Namsi, ... Saudi Journal of Biological Sciences 28 (8), 4408-4420	2021
Emerging non-destructive imaging techniques for fruit damage detection: Image processing and analysis NK Mahanti, R Pandiselvam, A Kothakota, SK Chakraborty, M Kumar, ... Trends in Food Science & Technology 120, 418-438	2022
A review of visible and near-infrared (Vis-NIR) spectroscopy application in plant stress detection SADM Zahir, AF Omar, MF Jamlos, MAM Azmi, J Muncan Sensors and Actuators A: Physical 338, 113468	2022
Evaluation of depth cameras for use in fruit localization and sizing: Finding a successor to kinect v2 C Neupane, A Koirala, Z Wang, KB Walsh Agronomy 11 (9), 1780	2021
Calibration transfer between developed portable Vis/NIR devices for detection of soluble solids contents in apple L Li, W Huang, Z Wang, S Liu, X He, S Fan Postharvest Biology and Technology 183, 111720	2022
Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review J Wieme, K Mollazade, I Malounas, M Zude-Sasse, M Zhao, A Gowen, ... biosystems engineering 222, 156-176	2022
Maturity determination at harvest and spatial assessment of moisture content in okra using Vis-NIR hyperspectral imaging G Xuan, C Gao, Y Shao, X Wang, Y Wang, K Wang Postharvest Biology and Technology 180, 111597	2021
Application of hyperspectral imaging for maturity and soluble solids content determination of strawberry with deep learning approaches Z Su, C Zhang, T Yan, J Zhu, Y Zeng, X Lu, P Gao, L Feng, L He, L Fan Frontiers in Plant Science 12, 736334	2021

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