Gerrit Polder

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Dive into the research topics where Gerrit Polder is active. These topic labels come from the works of this person. Together they form a unique fingerprint. If staff members have published prior to their WUR affiliation, it is possible that the publication overview, Fingerprint and network diagram are incomplete.

1 Similar Researchers

All-in-one: A spectral imaging laboratory system for standardised automated image acquisition and real-time spectral model deployment
Mishra, P., Sytsma, M., Chauhan, A., Polder, G. & Pekkeriet, E., 15 Jan 2022, In: Analytica Chimica Acta. 1190, 339235.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
2 Citations (Scopus)
Non-destructive quality assessment for tomatoes
Polder, G., 11 Jan 2022, In: In Greenhouses : the international magazine for greenhouse growers. 2022/11, 1, p. 53-53
Research output: Contribution to journal › Article › Professional
A generic workflow combining deep learning and chemometrics for processing close-range spectral images to detect drought stress in Arabidopsis thaliana to support digital phenotyping
Mishra, P., Sadeh, R., Ryckewaert, M., Bino, E., Polder, G., Boer, M. P., Rutledge, D. N. & Herrmann, I., 15 Sep 2021, In: Chemometrics and Intelligent Laboratory Systems. 216, 104373.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
3 Citations (Scopus)
Assessing avocado firmness at different dehydration levels in a multi-sensor framework
Mishra, P., Paillart, M., Meesters, L., Woltering, E., Chauhan, A. & Polder, G., Nov 2021, In: Infrared Physics and Technology. 118, 103901.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
Automatic phenotyping of tomatoes in production greenhouses using robotics and computer vision: From theory to practice
Fonteijn, H., Afonso, M., Lensink, D., Mooij, M., Faber, N., Vroegop, A., Polder, G. & Wehrens, R., Aug 2021, In: Agronomy. 11, 8, 1599.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
1 Citation (Scopus)

Supplementary data : Van Evert, F. K., Polder, G., Van der Heijden, G. W. A. M., Kempenaar, C. and Lotz, L. A. P. (2009), Real-time vision-based detection of Rumex obtusifolius in grassland. Weed Research, 49: 164–174. doi: 10.1111/j.1365-3180.2008.00682.x
van Evert, F. (Creator), Polder, G. (Creator), van der Heijden, G. W. A. M. (Creator), Kempenaar, C. (Creator) & Lotz, B. (Creator), Wageningen UR, 1 May 2011
https://edepot.wur.nl/159347
Dataset
Data underlying the publication: Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images
Polder, G. (Creator), van Marrewijk, B. (Creator), Blok, P. (Creator), de Villiers, H. (Creator), van der Wolf, J. (Creator) & Kamp, J. (Creator), Wageningen University & Research, 16 Jun 2020
DOI: 10.4121/uuid:b1f7853c-f52b-4f33-bb06-a6539c7a45a4
Dataset
Rob2Pheno Annotated Tomato Image Dataset
Afonso, M. (Creator), Fonteijn, H. (Creator), Polder, G. (Creator), Wehrens, R. (Creator), Lensink, D. (Creator), Faber, N. (Creator) & Mooij, M. (Creator), Wageningen University & Research, 25 Feb 2021
DOI: 10.4121/13173422
Dataset

9 Public lecture/debate/seminar
1 Participation in or organising a conference
1 Participation in or organising a workshop, seminar, course
1 Invited talk

EU Cost Action FA1306
Gerrit Polder (Participant)
2017
Activity: Participating in or organising an event › Participation in or organising a conference › Other
Hyperspectral imaging technology in agriculture and food
G. Polder (Speaker)
15 Jun 2017
Activity: Talk or presentation › Public lecture/debate/seminar › Other
Hyperspectral imaging for disease detection in seed potatoes
Gerrit Polder (Speaker)
11 Nov 2015
Activity: Talk or presentation › Public lecture/debate/seminar › Other
Hyperspectral imaging for disease detection in seed potatoes
Gerrit Polder (Speaker)
26 Oct 2015
Activity: Talk or presentation › Public lecture/debate/seminar › Other
Watershed and supervised classification based fully automated method for separate leaf segmentation
Gerrit Polder (Speaker)
22 Jun 2015
Activity: Talk or presentation › Public lecture/debate/seminar › Other

Nederland en Japan zoeken samenwerking voor digitalisering aardappelteelt
Rick van de Zedde & Gerrit Polder
16/04/21
1 Media contribution
Press/Media: Expert Comment › Professional
Keten is gebaat bij nieuw smaakmodel om snel te kunnen testen op locatie. Tomaten proeven zonder bijten of snijden
Caroline Labrie & Gerrit Polder
14/05/20
1 Media contribution
Press/Media: Expert Comment › Other
Hyperspectrale scan geeft inzicht in gewas- en vruchtkwaliteit: specifieke lichtfrequenties correleren met assimilaten
J.A. Dieleman & G. Polder
15/12/18
1 Media contribution
Press/Media: Research › Other
Automatische fenotypering centraal in summerschool 2017
Gerrit Polder
1/03/17
1 item of Media coverage
Press/Media: Research › Other
Gerobotiseerd fenotyperingen in de kas
Gerrit Polder
1/10/15
1 item of Media coverage
Press/Media: Research › Other

1 Active
2 Finished

EU-TU-18032 Optima (BO-67-101-014, BO-52-001-009)
Polder, G.
1/01/18 → 31/12/22
Project: EZproject
Flexible Monitoring of (Greenhouse) crops; one Wageningen Robotics (KB-30-003-019)
Polder, G.
1/01/17 → 31/12/18
Project: EZproject
1509-087 Patterns of Profit (BO-25.06-005-001)
Polder, G.
1/01/16 → 31/12/18
Project: EZproject

Gerrit Polder

Fingerprint

Network

Dive into details

All-in-one: A spectral imaging laboratory system for standardised automated image acquisition and real-time spectral model deployment

Non-destructive quality assessment for tomatoes

A generic workflow combining deep learning and chemometrics for processing close-range spectral images to detect drought stress in Arabidopsis thaliana to support digital phenotyping

Assessing avocado firmness at different dehydration levels in a multi-sensor framework

Automatic phenotyping of tomatoes in production greenhouses using robotics and computer vision: From theory to practice

Supplementary data : Van Evert, F. K., Polder, G., Van der Heijden, G. W. A. M., Kempenaar, C. and Lotz, L. A. P. (2009), Real-time vision-based detection of Rumex obtusifolius in grassland. Weed Research, 49: 164–174. doi: 10.1111/j.1365-3180.2008.00682.x

Data underlying the publication: Potato Virus Y Detection in Seed Potatoes Using Deep Learning on Hyperspectral Images

Rob2Pheno Annotated Tomato Image Dataset

EU Cost Action FA1306

Hyperspectral imaging technology in agriculture and food

Hyperspectral imaging for disease detection in seed potatoes

Hyperspectral imaging for disease detection in seed potatoes

Watershed and supervised classification based fully automated method for separate leaf segmentation

Nederland en Japan zoeken samenwerking voor digitalisering aardappelteelt

Keten is gebaat bij nieuw smaakmodel om snel te kunnen testen op locatie. Tomaten proeven zonder bijten of snijden

Hyperspectrale scan geeft inzicht in gewas- en vruchtkwaliteit: specifieke lichtfrequenties correleren met assimilaten

Automatische fenotypering centraal in summerschool 2017

Gerobotiseerd fenotyperingen in de kas

EU-TU-18032 Optima (BO-67-101-014, BO-52-001-009)

Flexible Monitoring of (Greenhouse) crops; one Wageningen Robotics (KB-30-003-019)

1509-087 Patterns of Profit (BO-25.06-005-001)

Gerrit Polder

Fingerprint

Network

Research output

Datasets

Activities

Press / Media

Projects