| Food traceability: New trends and recent advances. A review R Badia-Melis, P Mishra, L Ruiz-García Food control 57, 393-401, 2015 | 452 | 2015 |
| New data preprocessing trends based on ensemble of multiple preprocessing techniques P Mishra, A Biancolillo, JM Roger, F Marini, DN Rutledge TrAC Trends in Analytical Chemistry 132, 116045, 2020 | 382 | 2020 |
| Close range hyperspectral imaging of plants: A review P Mishra, MSM Asaari, A Herrero-Langreo, S Lohumi, B Diezma, ... Biosystems engineering 164, 49-67, 2017 | 326 | 2017 |
| Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform MSM Asaari, P Mishra, S Mertens, S Dhondt, D Inzé, N Wuyts, ... ISPRS journal of photogrammetry and remote sensing 138, 121-138, 2018 | 156 | 2018 |
| 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 | 140 | 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 | 127 | 2022 |
| Close-range hyperspectral imaging of whole plants for digital phenotyping: Recent applications and illumination correction approaches P Mishra, S Lohumi, HA Khan, A Nordon Computers and Electronics in Agriculture 178, 105780, 2020 | 108 | 2020 |
| 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 | 105 | 2021 |
| Improving moisture and soluble solids content prediction in pear fruit using near-infrared spectroscopy with variable selection and model updating approach P Mishra, E Woltering, B Brouwer, E Hogeveen-van Echtelt Postharvest Biology and Technology 171, 111348, 2021 | 99 | 2021 |
| Deep learning for near-infrared spectral data modelling: Hypes and benefits P Mishra, D Passos, F Marini, J Xu, JM Amigo, AA Gowen, JJ Jansen, ... TrAC Trends in Analytical Chemistry 157, 116804, 2022 | 95 | 2022 |
| Application of independent components analysis with the JADE algorithm and NIR hyperspectral imaging for revealing food adulteration P Mishra, CBY Cordella, DN Rutledge, P Barreiro, JM Roger, B Diezma Journal of Food Engineering 168, 7-15, 2016 | 88 | 2016 |
| 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 | 86 | 2021 |
| Near-infrared hyperspectral imaging for non-destructive classification of commercial tea products P Mishra, A Nordon, J Tschannerl, G Lian, S Redfern, S Marshall Journal of Food Engineering 238, 70-77, 2018 | 81 | 2018 |
| 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 | 76 | 2021 |
| Close range spectral imaging for disease detection in plants using autonomous platforms: a review on recent studies P Mishra, G Polder, N Vilfan Current robotics reports 1, 43-48, 2020 | 73 | 2020 |
| Non-destructive measurement of internal browning in mangoes using visible and near-infrared spectroscopy supported by artificial neural network analysis SHEJ Gabriëls, P Mishra, MGJ Mensink, P Spoelstra, EJ Woltering Postharvest Biology and Technology 166, 111206, 2020 | 70 | 2020 |
| Detection and quantification of peanut traces in wheat flour by near infrared hyperspectral imaging spectroscopy using principal-component analysis P Mishra, A Herrero-Langreo, P Barreiro, JM Roger, B Diezma, N Gorretta, ... Journal of Near Infrared Spectroscopy 23 (1), 15-22, 2015 | 70 | 2015 |
| MBA-GUI: A chemometric graphical user interface for multi-block data visualisation, regression, classification, variable selection and automated pre-processing P Mishra, JM Roger, DN Rutledge, A Biancolillo, F Marini, A Nordon, ... Chemometrics and Intelligent Laboratory Systems 205, 104139, 2020 | 68 | 2020 |
| High-throughput plant phenotyping: a role for metabolomics? RD Hall, JC D’Auria, ACS Ferreira, Y Gibon, D Kruszka, P Mishra, ... Trends in Plant Science 27 (6), 549-563, 2022 | 65 | 2022 |
| 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 | 65 | 2021 |
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