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

Research output: Contribution to journalArticleProfessional

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.
Original languageEnglish
Pages (from-to)13-19
JournalVision Systems Design
Volume24
Issue number9
Publication statusPublished - 16 Oct 2019

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disease detection
seed tubers
plant diseases and disorders
neural networks
learning
Pectobacterium
Dickeya
image analysis
potatoes
bacterial infections
seeds
Netherlands
viruses

Cite this

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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",
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.",
author = "G. Polder",
year = "2019",
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language = "English",
volume = "24",
pages = "13--19",
number = "9",

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T2 - Modified convolutional neural network uses hyperspectral line scan images for potato plant disease detection

AU - Polder, G.

PY - 2019/10/16

Y1 - 2019/10/16

N2 - 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.

AB - 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.

M3 - Article

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SP - 13

EP - 19

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