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, teledetectionReferences
Alchanatis V., Ridel L., Hetzroni A., Yaroslavsky L. 2005. Weed detection in multi-spectral images of cotton fields. Computers and Electronics in Agriculture 47: 243 — 260.
Google Scholar
Arseniuk E., Góral T. 2015. Triticale Biotic Stresses – Known and Novel Foes, In Triticale, pp. 83 — 108. Ed F. Eudes. Cham: Springer International Publishing.
Google Scholar
Arseniuk E., Fried P.M., Winzeler H., Czembor H.J. 1991. Comparison of resistance of triticale, wheat and spelt to septoria nodorum blotch at the seedling and adult plant stages. Euphytica 55: 43 — 48.
Google Scholar
Boniecki P. 2005. Wykorzystanie technik neuronowych w praktyce rolniczej. Journal of Research and Applications in Agricultural Engineering, 50: 10 — 14.
Google Scholar
Clary K., 2013. A Comparison of the Self-Organizing Map and Growing Neural Gas Network in the Context of Optical Character Recognition. Department of Computer Science and Mathematics, Hendrix College, AR, USA: 3 pp.
Google Scholar
Figueroa M., Hammond-Kosack K.E. Solomon P.S. 2018. A review of wheat diseases — a field perspective. Mol. Plant Pathol. 19: 1523 — 1536.
Google Scholar
Frączek J.2005. Cyfrowa analiza obrazu w technice rolniczej, Inżynieria Rolnicza 6, 149 — 157.
Google Scholar
Góral T., Ochodzki P., Walentyn-Góral, D., Belter J., Majka M., Kwiatek M., Wiśniewska H. 2015. Odporność genotypów pszenicy ozimej na fuzariozę kłosów i akumulację toksyn fuzaryjnych w ziarnie scharakteryzowana za pomocą różnych typów odporności. Biuletyn IHAR 276: 19 — 37.
Google Scholar
Góral T., D. Walentyn-Góral 2018. Zróżnicowanie podatności odmian pszenicy ozimej i jarej na fuzariozę kłosów badanych w latach 2009–2016. Komunikat. Biuletyn IHAR 284: 3 — 11.
Google Scholar
Hovmøller M.S., Walter S., Bayles R.A., Hubbard A., Flath K., Sommerfeldt N., Leconte M., Czembor P., Rodriguez-Algaba J., Thach T., Hansen J.G., Lassen P., Justesen A.F., Ali S., de Vallavieille-Pope C. 2015. Replacement of the European wheat yellow rust population by new races from the centre of diversity in the near-Himalayan region. Plant Pathology 65: 402 — 411.
Google Scholar
Jin X., Jie L., Wang S., Qi H.J., Li S.W. 2018. Classifying wheat hyperspectral pixels of healthy heads and Fusarium head blight disease using a deep neural network in the wild field. Remote Sensing 10: 395.
Google Scholar
Kazmi W., Foix S., Alenyà G., Andersen H.J. 2014. Indoor and outdoor depth imaging of leaves with time-of-flight and stereo vision sensors: Analysis and comparison. ISPRS Journal of Photogrammetry and Remote Sensing 88: 128 — 146.
Google Scholar
Kurkute S.R. 2018. Drones for Smart Agriculture: A Technical Report. International Journal for Research in Applied Science and Engineering Technology, 6: 341 — 346.
Google Scholar
Łuczycka D. 2016. Rolnictwo XXI wieku – problemy i wyzwania. ISBN 978‒83‒945311‒0-2: 378
Google Scholar
Łukawski R., Golka W., 2011. Identyfikacja efektu mieszania gleby w procesie powierzchniowej uprawy z wykorzystaniem dynamicznej analizy obrazu 3D. Problemy Inżynierii Rolniczej 2: 55 — 64.
Google Scholar
Mendes C.A.T., Gattass M., Lopes H., 2014. FGNG: A fast multi-dimensional growing neural gas implementation. Neurocomputing 128: 328 — 340.
Google Scholar
Moshou D., Bravo C., Oberti R., West J.S., Ramon H., Vougioukas S., Bochtis D. 2011. Intelligent multi-sensor system for the detection and treatment of fungal diseases in arable crops. Biosystems Engineering 108: 311 — 321.
Google Scholar
Niedbała G., Kurasiak-Popowska D., Kinga Stuper-Szablewska K. and Jerzy Nawracała, 2020. Application of Artificial Neural Networks to Analyze the Concentration of Ferulic Acid, Deoxynivalenol, and Nivalenol in Winter Wheat Grain. Agriculture 10: 127; doi: 10.3390/agriculture10040127.
Google Scholar
Nieróbca A., Pudełko R., Kozyra J. 2009. Zastosowanie zdalnych metod w analizie zachwaszczenia pól testowych. Progress in Plant Protection/Postępy w Ochronie Roślin, 49: 1622 — 1629.
Google Scholar
Osowski S. 2000. Sieci neuronowe do przetwarzania informacji. Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa.
Google Scholar
Perez A.J., Lopez F., Benlloch J.V., Christensen S. 2000. Colour and shape analysis techniques for weed detection in cereal fields. Computers and Electronics in Agriculture 25: 197 — 212.
Google Scholar
Piotrowska E. 2003. Badania filmowe bryły glebowej odkształcanej przez wąskie narzędzie uprawowe. Inżynieria Rolnicza 11: 173 — 178.
Google Scholar
Prandini A., Sigolo S., Filippi L., Battilani P., Piva G. 2009. Review of predictive models for Fusarium head blight and related mycotoxin contamination in wheat. Food Chem Toxicol. 47: 927 — 31.
Google Scholar
Pudełko R., Kozyra J., Nieróbca A. 2008. Identification of the intensity of weeds in maize plantations based on aerial photographs. Zemdirbyste-Agriculture, 95: 130 — 134.
Google Scholar
Qiu R., Yang C., Moghimi A., Zhang M., Steffenson B. 2019. Detection of Fusarium Head Blight in Wheat Using a Deep Neural Network and Color Imaging. Remote Sensing 11: 2685.
Google Scholar
Rumelhart D., J. L. McClelland, the PDP Research Group.1986. Parallel Distributed Processing: explorations in the microstructure of cognition. MIT Press, Cambridge.
Google Scholar
Sankaran S., Mishra A., Ehsani R., Davis C. 2010. A review of advanced techniques for detecting plant diseases. Computers and Electronics in Agriculture 72 1 — 13.
Google Scholar
Skulska M., Skulska M., Makowski Ł. 2003. Zastosowanie sieci neuronowych. Wydawca: Państwowa Wyższa Szkoła Zawodowa w Tarnobrzegu: 8 str.
Google Scholar
Song Y., Sun H., Li M., Zhang Q. 2015. Technology Application of Smart Spray in Agriculture: A Review. Intelligent Automation and Soft Computing 21: 319 — 333.
Google Scholar
Wei Y., Blake M.B., Madey G.R. 2013. An operation-time simulation framework for UAV swarm configuration and mission planning. In: Proceedings of the International Conference on Computational Science, ICCS 2013, Barcelona, Spain, 5 — 7 June, 2013, pp. 1949 — 1958.
Google Scholar
Yuan L., Zhang J., Shi Y., Nie C., Wei L., Wang J. 2014. Damage mapping of powdery mildew in winter wheat with high-resolution satellite image. Remote Sensing, 6: 3611 — 3623.
Google Scholar
Yang L., Gao F., Shang L., Zhan J., McDonald B. A. 2013. Association between virulence and triazole tolerance in the phytopathogenic fungus Mycosphaerella graminicola. PLoS ONE 8(3): e59568. doi:10.1371/journal.pone.00595.
Google Scholar
Authors
Wiesław GolkaInstytut Technologiczno – Przyrodniczy, Falenty, Al. Hrabska 3, 05‒090 Raszyn Poland
Authors
Edward ArseniukInstytut Hodowli i Aklimatyzacji Roślin – Państwowy Instytut Badawczy, Radzików, 05‒870 Błonie Poland
https://orcid.org/0000-0002-4483-3317
Authors
Adrian GolkaRelayonit sp. z o.o., ul. Cietrzewia 23, 02‒492 Warszawa Poland
Authors
Tomasz GóralInstytut Hodowli i Aklimatyzacji Roślin – Państwowy Instytut Badawczy, Radzików, 05‒870 Błonie Poland
https://orcid.org/0000-0001-9130-6109
Statistics
Abstract views: 530PDF downloads: 360
License
Copyright (c) 2020 Wiesław Golka, Edward Arseniuk, Adrian Golka, Tomasz Góral
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Upon submitting the article, the Authors grant the Publisher a non-exclusive and free license to use the article for an indefinite period of time throughout the world in the following fields of use:
- Production and reproduction of copies of the article using a specific technique, including printing and digital technology.
- Placing on the market, lending or renting the original or copies of the article.
- Public performance, exhibition, display, reproduction, broadcasting and re-broadcasting, as well as making the article publicly available in such a way that everyone can access it at a place and time of their choice.
- Including the article in a collective work.
- Uploading an article in electronic form to electronic platforms or otherwise introducing an article in electronic form to the Internet or other network.
- Dissemination of the article in electronic form on the Internet or other network, in collective work as well as independently.
- Making the article available in an electronic version in such a way that everyone can access it at a place and time of their choice, in particular via the Internet.
Authors by sending a request for publication:
- They consent to the publication of the article in the journal,
- They agree to give the publication a DOI (Digital Object Identifier),
- They undertake to comply with the publishing house's code of ethics in accordance with the guidelines of the Committee on Publication Ethics (COPE), (http://ihar.edu.pl/biblioteka_i_wydawnictwa.php),
- They consent to the articles being made available in electronic form under the CC BY-SA 4.0 license, in open access,
- They agree to send article metadata to commercial and non-commercial journal indexing databases.
Most read articles by the same author(s)
- Maciej Majka, Magdalena Gawłowska, Adriana Twardawska, Marek Korbas, Jakub Danielewicz, Tomasz Góral, Bogusława Ługowska, Jolanta Belter, Edward Witkowski, Tadeusz Drzazga, Przemysław Matysik, Urszula Woźna-Pawlak, Halina Wiśniewska, Use of molecular and phenotypic markers to identify wheat eyespot resistance genes caused by Oculimacula yallundae and O. acuformis , Bulletin of Plant Breeding and Acclimatization Institute: No. 288 (2020): Regular issue
- Tomasz Góral, Dorota Walentyn-Góral, Variation for resistance to Fusarium head blight in winter and spring wheat varieties studied in 2009–2016. , Bulletin of Plant Breeding and Acclimatization Institute: No. 284 (2018): Regular issue
- Tomasz Góral, Halina Wiśniewska, Piotr Ochodzki, Dorota Walentyn-Góral, Iga Grzeszczak, Jolanta Belter, Maciej Majka, Jerzy Bogacki, Tadeusz Drzazga, Bogusława Ługowska, Przemysław Matysik, Edward Witkowski, Krzysztof Rubrycki, Urszula Woźna-Pawlak, Fuzarioza kłosów oraz akumulacja toksyn fuzaryjnych w ziarnie rodów hodowlanych pszenicy ozimej , Bulletin of Plant Breeding and Acclimatization Institute: No. 282 (2017): Regular issue
- Tomasz Góral, Piotr Ochodzki, Linda Kærgaard Nielsen, Dorota Walentyn-Góral, Fusarium species and Fusarium mycotoxins in grain of barley in Poland in 2009 and 2010. Short communication , Bulletin of Plant Breeding and Acclimatization Institute: No. 288 (2020): Regular issue
- Tomasz Góral, Piotr Ochodzki, Linda Kærgaard Nielsen , Dorota Walentyn-Góral, Species of the genus Fusarium and Fusarium toxins in the grain of winter and spring wheat in Poland , Bulletin of Plant Breeding and Acclimatization Institute: No. 296 (2021): Regular issue
- Tomasz Góral, Piotr Ochodzki, Zofia Bulińska-Radomska, Resistance to Fusarium head blight caused by Fusarium culmorum and Fusarium mycotoxins content in grain of spring cereal species intended for organic farming , Bulletin of Plant Breeding and Acclimatization Institute: No. 263 (2012): Regular issue
- Tomasz Góral, Dorota Walentyn-Góral, Halina Wiśniewska, Fusarium head blight resistance of types I and II in wheat and triticale , Bulletin of Plant Breeding and Acclimatization Institute: No. 277 (2015): Regular issue
- Elżbieta Małuszyńska, Tomasz Góral, Dorota Walentyn-Góral, Effect of pre-chilling on germination of infected by Fusarium spp. winter wheat kernels. , Bulletin of Plant Breeding and Acclimatization Institute: No. 284 (2018): Regular issue
- Tomasz Góral, Application of the detached-leaf technique to evaluate the pathogenicity of isolates of fungi Ascochyta fabae and Botrytis fabae to faba bean , Bulletin of Plant Breeding and Acclimatization Institute: No. 299 (2023): Regular issue
- Edward Arseniuk, Lidia Kowalska, Development and use of biotechnological methods for shortening the breeding cycle and improving the effectiveness of genotypes selection of winter wheat and winter triticale with increased resistance and tolerance to septoria leaf and glume [agent: Parast , Bulletin of Plant Breeding and Acclimatization Institute: No. 286 (2019): Special issue
