| Hyperspectral imaging for food quality analysis and control DW Sun Elsevier, 2010 | 703 | 2010 |
| Hyperspectral sensors and imaging technologies in phytopathology: state of the art AK Mahlein, MT Kuska, J Behmann, G Polder, A Walter Annual review of phytopathology 56 (1), 535-558, 2018 | 343 | 2018 |
| Leaf segmentation in plant phenotyping: a collation study H Scharr, M Minervini, AP French, C Klukas, DM Kramer, X Liu, I Luengo, ... Machine vision and applications 27, 585-606, 2016 | 327 | 2016 |
| Spectral image analysis for measuring ripeness of tomatoes G Polder, GWAM van der Heijden, IT Young Transactions of the ASAE 45 (4), 1155, 2002 | 248 | 2002 |
| Tomato fruit detection and counting in greenhouses using deep learning M Afonso, H Fonteijn, FS Fiorentin, D Lensink, M Mooij, N Faber, G Polder, ... Frontiers in plant science 11, 571299, 2020 | 225 | 2020 |
| Automatic fruit recognition and counting from multiple images Y Song, CA Glasbey, GW Horgan, G Polder, JA Dieleman, ... Biosystems Engineering 118, 203-215, 2014 | 205 | 2014 |
| Potato virus Y detection in seed potatoes using deep learning on hyperspectral images G Polder, PM Blok, HAC De Villiers, JM Van der Wolf, J Kamp Frontiers in plant science 10, 209, 2019 | 199 | 2019 |
| Calibration and characterisation of imaging spectrographs G Polder, GWAM van der Heijden, LCP Keizer, IT Young Journal of Near Infrared Spectroscopy 11 (3), 193-210, 2003 | 161 | 2003 |
| SPICY: towards automated phenotyping of large pepper plants in the greenhouse G van der Heijden, Y Song, G Horgan, G Polder, A Dieleman, M Bink, ... Functional Plant Biology 39 (11), 870-877, 2012 | 129 | 2012 |
| Measuring surface distribution of carotenes and chlorophyll in ripening tomatoes using imaging spectrometry G Polder, G Van Der Heijden, H Van der Voet, IT Young Postharvest biology and technology 34 (2), 117-129, 2004 | 96 | 2004 |
| Tomato sorting using independent component analysis on spectral images G Polder, GWAM van der Heijden, IT Young Real-time imaging 9 (4), 253-259, 2003 | 95 | 2003 |
| A robot to detect and control broad‐leaved dock (Rumex obtusifolius L.) in grassland FK van Evert, J Samsom, G Polder, M Vijn, HJ Dooren, A Lamaker, ... Journal of Field Robotics 28 (2), 264-277, 2011 | 91 | 2011 |
| Automatic detection of tulip breaking virus (TBV) in tulip fields using machine vision G Polder, GWAM van der Heijden, J van Doorn, TAHMC Baltissen Biosystems Engineering 117, 35-42, 2014 | 85 | 2014 |
| Floral plasticity: herbivore‐species‐specific‐induced changes in flower traits with contrasting effects on pollinator visitation Q Rusman, EH Poelman, F Nowrin, G Polder, D Lucas‐Barbosa Plant, Cell & Environment 42 (6), 1882-1896, 2019 | 83 | 2019 |
| 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 | 78 | 2020 |
| Detection of honey adulteration using hyperspectral imaging S Shafiee, G Polder, S Minaei, N Moghadam-Charkari, S Van Ruth, ... IFAC-PapersOnLine 49 (16), 311-314, 2016 | 78 | 2016 |
| Detection of Fusarium in single wheat kernels using spectral imaging G Polder, G Van Der Heijden, C Waalwijk, IT Young Seed Science and Technology 33 (3), 655-668, 2005 | 78 | 2005 |
| Real‐time vision‐based detection of Rumex obtusifolius in grassland FK Van Evert, G Polder, G Van Der Heijden, C Kempenaar, LAP Lotz Weed Research 49 (2), 164-174, 2009 | 66 | 2009 |
| VIS/NIR imaging application for honey floral origin determination S Minaei, S Shafiee, G Polder, N Moghadam-Charkari, S van Ruth, ... Infrared Physics & Technology 86, 218-225, 2017 | 65 | 2017 |
| Hyperspectral image analysis for measuring ripeness of tomatoes G Polder, G Van der Heijden, IT Young ASAE international meeting, 2000 | 64 | 2000 |
Gerie van der HeijdenResearch Manager Dupont PioneerVerified email at pioneer.com
