Detecting Spectral Signals in Imaging for Disease Detection in Apple and Grape

J.A. Peller; G. Polder; P.M. Blok; I. Malounas

Detecting Spectral Signals in Imaging for Disease Detection in Apple and Grape

J.A. Peller^*, G. Polder, P.M. Blok, I. Malounas

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

Abstract

Downy mildew (Plasmopara viticola), and apple scab (Venturia inaequalis) are endemic diseases that affect crops across Europe. These diseases can respectively cause severe losses in grapes, apples in particular when not detected in an early stage. Spectral image sensing was explored to see whether it outperforms standard RGB colour imaging due to its extended wavelength range and more detailed reflection over the spectrum. Image data was acquired in apple orchards, vineyards and greenhouses of Italy and the Netherlands using a research based IMEC Snapscan spectral camera with high spectral resolution (150 bands, 470-900nm), and later a commercially available SILIOS spectral camera. We show using these datasets and a linear discriminant analysis that detection of early symptoms of both diseases is possible.

Original language	English
Title of host publication	Proceedings of the European Conference on Agricultural Engineering AgEng 2021
Editors	J.C. Barbosa, L.L. Silva, P. Lourenço, A. Sousa, J.R. Silva, V.F. Cruz, F. Baptista
Publisher	EurAgEng, Cranfield
Pages	63-69
Publication status	Published - 4 Jul 2021
Event	European Conference on Agricultural Engineering AgEng 2021 - Evora, Portugal Duration: 4 Jul 2021 → 8 Jul 2021

Conference

Conference	European Conference on Agricultural Engineering AgEng 2021
Country/Territory	Portugal
City	Evora
Period	4/07/21 → 8/07/21

Access to Document

https://edepot.wur.nl/564508

Cite this

Peller, J. A., Polder, G., Blok, P. M., & Malounas, I. (2021). Detecting Spectral Signals in Imaging for Disease Detection in Apple and Grape. In J. C. Barbosa, L. L. Silva, P. Lourenço, A. Sousa, J. R. Silva, V. F. Cruz, & F. Baptista (Eds.), Proceedings of the European Conference on Agricultural Engineering AgEng 2021 (pp. 63-69). EurAgEng, Cranfield. https://edepot.wur.nl/564508

@inproceedings{bc39c9095dd24a50bc9877e60e7fd273,

title = "Detecting Spectral Signals in Imaging for Disease Detection in Apple and Grape",

abstract = "Downy mildew (Plasmopara viticola), and apple scab (Venturia inaequalis) are endemic diseases that affect crops across Europe. These diseases can respectively cause severe losses in grapes, apples in particular when not detected in an early stage. Spectral image sensing was explored to see whether it outperforms standard RGB colour imaging due to its extended wavelength range and more detailed reflection over the spectrum. Image data was acquired in apple orchards, vineyards and greenhouses of Italy and the Netherlands using a research based IMEC Snapscan spectral camera with high spectral resolution (150 bands, 470-900nm), and later a commercially available SILIOS spectral camera. We show using these datasets and a linear discriminant analysis that detection of early symptoms of both diseases is possible.",

author = "J.A. Peller and G. Polder and P.M. Blok and I. Malounas",

year = "2021",

month = jul,

day = "4",

language = "English",

pages = "63--69",

editor = "J.C. Barbosa and L.L. Silva and P. Louren{\c c}o and A. Sousa and J.R. Silva and V.F. Cruz and F. Baptista",

booktitle = "Proceedings of the European Conference on Agricultural Engineering AgEng 2021",

publisher = "EurAgEng, Cranfield",

address = "United Kingdom",

note = "European Conference on Agricultural Engineering AgEng 2021 ; Conference date: 04-07-2021 Through 08-07-2021",

}

Peller, JA , Polder, G, Blok, PM & Malounas, I 2021, Detecting Spectral Signals in Imaging for Disease Detection in Apple and Grape. in JC Barbosa, LL Silva, P Lourenço, A Sousa, JR Silva, VF Cruz & F Baptista (eds), Proceedings of the European Conference on Agricultural Engineering AgEng 2021. EurAgEng, Cranfield, pp. 63-69, European Conference on Agricultural Engineering AgEng 2021, Evora, Portugal, 4/07/21. <https://edepot.wur.nl/564508>

Detecting Spectral Signals in Imaging for Disease Detection in Apple and Grape. / Peller, J.A.; Polder, G.; Blok, P.M. et al.
Proceedings of the European Conference on Agricultural Engineering AgEng 2021. ed. / J.C. Barbosa; L.L. Silva; P. Lourenço; A. Sousa; J.R. Silva; V.F. Cruz; F. Baptista. EurAgEng, Cranfield, 2021. p. 63-69.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

TY - GEN

T1 - Detecting Spectral Signals in Imaging for Disease Detection in Apple and Grape

AU - Peller, J.A.

AU - Polder, G.

AU - Blok, P.M.

AU - Malounas, I.

PY - 2021/7/4

Y1 - 2021/7/4

N2 - Downy mildew (Plasmopara viticola), and apple scab (Venturia inaequalis) are endemic diseases that affect crops across Europe. These diseases can respectively cause severe losses in grapes, apples in particular when not detected in an early stage. Spectral image sensing was explored to see whether it outperforms standard RGB colour imaging due to its extended wavelength range and more detailed reflection over the spectrum. Image data was acquired in apple orchards, vineyards and greenhouses of Italy and the Netherlands using a research based IMEC Snapscan spectral camera with high spectral resolution (150 bands, 470-900nm), and later a commercially available SILIOS spectral camera. We show using these datasets and a linear discriminant analysis that detection of early symptoms of both diseases is possible.

AB - Downy mildew (Plasmopara viticola), and apple scab (Venturia inaequalis) are endemic diseases that affect crops across Europe. These diseases can respectively cause severe losses in grapes, apples in particular when not detected in an early stage. Spectral image sensing was explored to see whether it outperforms standard RGB colour imaging due to its extended wavelength range and more detailed reflection over the spectrum. Image data was acquired in apple orchards, vineyards and greenhouses of Italy and the Netherlands using a research based IMEC Snapscan spectral camera with high spectral resolution (150 bands, 470-900nm), and later a commercially available SILIOS spectral camera. We show using these datasets and a linear discriminant analysis that detection of early symptoms of both diseases is possible.

M3 - Conference paper

SP - 63

EP - 69

BT - Proceedings of the European Conference on Agricultural Engineering AgEng 2021

A2 - Barbosa, J.C.

A2 - Silva, L.L.

A2 - Lourenço, P.

A2 - Sousa, A.

A2 - Silva, J.R.

A2 - Cruz, V.F.

A2 - Baptista, F.

PB - EurAgEng, Cranfield

T2 - European Conference on Agricultural Engineering AgEng 2021

Y2 - 4 July 2021 through 8 July 2021

ER -

Detecting Spectral Signals in Imaging for Disease Detection in Apple and Grape

Abstract

Conference

Access to Document

Fingerprint

Cite this