Gerrit Polder

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8 Similar Researchers

Tulip breaking virus Agriculture & Biology

image analysis Agriculture & Biology

automatic detection Agriculture & Biology

disease detection Agriculture & Biology

seed tubers Agriculture & Biology

computer vision Agriculture & Biology

neural networks Agriculture & Biology

plant diseases and disorders Agriculture & Biology

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 1987 2019

Automatic Detection of Tulip Breaking Virus (TBV) Using a Deep Convolutional Neural Network

Polder, G., Westeringh, N. V. D., Kool, J., Khan, H. A., Kootstra, G. & Nieuwenhuizen, A., Dec 2019, In : IFAC-PapersOnLine. 52, 30, p. 12-17

Research output: Contribution to journal › Article › Academic › peer-review

Viruses

Neural networks

Crops

Experiments

Learning algorithms

Blackleg Detection in Potato Plants using Convolutional Neural Networks

Afonso, M. V., Blok, P. M., Polder, G., van der Wolf, J. M. & Kamp, J. A. L. M., 2019. 6 p.

Research output: Contribution to conference › Conference paper › Academic › peer-review

Open Access

neural networks

potatoes

tubers

Pectobacterium

Dickeya

Deep learning and hyperspectral imaging technologies team up for diseased potato identification: Modified convolutional neural network uses hyperspectral line scan images for potato plant disease detection

Polder, G., 16 Oct 2019, In : Vision Systems Design. 24, 9, p. 13-19

Research output: Contribution to journal › Article › Professional

Open Access

disease detection

seed tubers

plant diseases and disorders

neural networks

learning

1 Citation (Scopus)

Detection of tomato flowers from greenhouse images using colorspace transformations

Afonso, M., Mencarelli, A., Polder, G., Wehrens, R., Lensink, D. & Faber, N., 1 Jan 2019, Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Proceedings, Part I. Moura Oliveira, P., Novais, P. & Reis, L. P. (eds.). Springer Verlag, p. 146-155 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); no. LNAI 11804).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

Greenhouse

Tomato

Color Space

Greenhouses

Cameras

Erwinia Detection in Potato Plants using Convolutional Neural Networks

Afonso, M. V., Blok, P. M., Polder, G., van der Wolf, J. M. & Kamp, J. A. L. M., 2019.

Research output: Contribution to conference › Conference paper › Academic

Datasets

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