Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 559711
Title 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
Author(s) Polder, G.
Source Vision Systems Design 24 (2019)9. - ISSN 1089-3709 - p. 13 - 19.
Department(s) GTB Tuinbouw Technologie
Publication type Article in professional journal
Publication year 2019
Abstract Plant diseases caused by viruses and bacterial infections (Dickeya and Pectobacterium) cause high concern in the cultivation of seed potatoes. Once found in the field, such plants lead to declassification or even rejection of the seed lots resulting in financial loss. These diseases lead to an average 14.5% declassification of seed lots (over the period 2009–2016) and an average 2.3% rejection (source: Dutch General Inspection Service NAK) in the Netherlands, a major supplier of the world’s certified seed potatoes, costing Dutch producers almost 20 million euros per year.
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