Artificial neural networks and remote sensing in the assessment of spring wheat infection by Fusarium head blight

Wiesław Golka


Instytut Technologiczno – Przyrodniczy, Falenty, Al. Hrabska 3, 05‒090 Raszyn (Poland)

Edward Arseniuk


Instytut Hodowli i Aklimatyzacji Roślin – Państwowy Instytut Badawczy, Radzików, 05‒870 Błonie (Poland)
https://orcid.org/0000-0002-4483-3317

Adrian Golka


Relayonit sp. z o.o., ul. Cietrzewia 23, 02‒492 Warszawa (Poland)

Tomasz Góral


Instytut Hodowli i Aklimatyzacji Roślin – Państwowy Instytut Badawczy, Radzików, 05‒870 Błonie (Poland)
https://orcid.org/0000-0001-9130-6109

Abstract

The aim of the research was to use remote sensing and artificial neural networks in the assessment of spring wheat in terms of response to infection of ears caused by fungi of the genus Fusarium spp. The research was carried out on plants of 4 varieties of spring wheat. They were: KWS Torridon and Izera - with higher resistance, Radocha and Nawra - with lower resistance to the pathogen. Pictures of healthy and infected ears of all varieties were taken, and then processed using the Crops Vegetation Control Lab (CVC Lab.) Program. Based on the obtained images, their representations in the form of Growing Neural Gas (GNG) neural networks were created. As a result of photo analysis, 240 patterns were obtained, out of which 6 basic disease patterns were selected for each variety. Next, a comparison of samples of infected ears of a given variety with baseline disease patterns of the same wheat variety was made. As a result of comparing healthy and diseased plant patterns with pictures of healthy and infested plant plots, a diversity of numerical values was obtained that gave rise to the construction of a wheat plantation map detailing spots with diseased plants.


Keywords:

Fusarium head blight, wheat, artificial neural networks, teledetection

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Published
2020-06-22

Cited by

Golka, W. (2020) “Artificial neural networks and remote sensing in the assessment of spring wheat infection by Fusarium head blight”, Bulletin of Plant Breeding and Acclimatization Institute, (288), pp. 67–75. doi: 10.37317/biul-2020-0008.

Authors

Wiesław Golka 

Instytut Technologiczno – Przyrodniczy, Falenty, Al. Hrabska 3, 05‒090 Raszyn Poland

Authors

Edward Arseniuk 

Instytut Hodowli i Aklimatyzacji Roślin – Państwowy Instytut Badawczy, Radzików, 05‒870 Błonie Poland
https://orcid.org/0000-0002-4483-3317

Authors

Adrian Golka 

Relayonit sp. z o.o., ul. Cietrzewia 23, 02‒492 Warszawa Poland

Authors

Tomasz Góral 

Instytut Hodowli i Aklimatyzacji Roślin – Państwowy Instytut Badawczy, Radzików, 05‒870 Błonie Poland
https://orcid.org/0000-0001-9130-6109

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