Gerrit Polder
Gerrit Polder
Researcher Image Analysis, Wageningen University
Verified email at - Homepage
Cited by
Cited by
Hyperspectral imaging for food quality analysis and control
DW Sun
Elsevier, 2010
Spectral image analysis for measuring ripeness of tomatoes
G Polder, GWAM van der Heijden, IT Young
Transactions of the ASAE 45 (4), 1155, 2002
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 (4), 585-606, 2016
Automatic fruit recognition and counting from multiple images
Y Song, CA Glasbey, GW Horgan, G Polder, JA Dieleman, ...
Biosystems Engineering 118, 203-215, 2014
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
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
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, 535-558, 2018
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
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
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
Hyperspectral image analysis for measuring ripeness of tomatoes
G Polder, G Van der Heijden, IT Young
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
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
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
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
A Mobile Field Robot with Vision-Based Detection of Volunteer Potato Plants in a Corn Crop1
FK Van Evert, GWAM Van Der Heijden, LAP Lotz, G Polder, A Lamaker, ...
Weed Technology 20 (4), 853-861, 2006
Calibration and characterization of spectral imaging systems
G Polder, GWAM van der Heijden
Multispectral and Hyperspectral Image Acquisition and Processing 4548, 10-17, 2001
Identification of mushroom cultivars using image analysis
JG Van De Vooren, G Polder, G Van der Heijden
Transactions of the ASAE 35 (1), 347-350, 1992
Accurate measurement of size and shape of cucumber fruits with image analysis
JW Van Eck, G Van Der Heijden, G Polder
Journal of agricultural engineering research 70 (4), 335-343, 1998
Combining stereo and time-of-flight images with application to automatic plant phenotyping
Y Song, CA Glasbey, GWAM van der Heijden, G Polder, JA Dieleman
Scandinavian Conference on Image Analysis, 467-478, 2011
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