{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,3]],"date-time":"2024-08-03T17:40:36Z","timestamp":1722706836186},"reference-count":33,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2022,8,10]],"date-time":"2022-08-10T00:00:00Z","timestamp":1660089600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Greece and the European Union","award":["5047890"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"The aim of this study was to develop three supervised self-organizing map (SOM) models for the automatic recognition of a systemic resistance state in plants after application of a resistance inducer. The pathosystem Fusarium oxysporum f. sp. radicis-lycopersici (FORL) + tomato was used. The inorganic, defense inducer, Acibenzolar-S-methyl (benzo-[1,2,3]-thiadiazole-7-carbothioic acid-S-methyl ester, ASM), reported to induce expression of defense genes in tomato, was applied to activate the defense mechanisms in the plant. A handheld fluorometer, FluorPen FP 100-MAX-LM by SCI, was used to assess the fluorescence kinetics response of the induced resistance in tomato plants. To achieve recognition of resistance induction, three models of supervised SOMs, namely SKN, XY-F, and CPANN, were used to classify fluorescence kinetics data, in order to determine the induced resistance condition in tomato plants. To achieve this, a parameterization of fluorescence kinetics curves was developed corresponding to fluorometer variables of the Kautsky Curves. SKN was the best supervised SOM, achieving 97.22% to 100% accuracy. Gene expression data were used to confirm the accuracy of the supervised SOMs.<\/jats:p>","DOI":"10.3390\/s22165970","type":"journal-article","created":{"date-parts":[[2022,8,10]],"date-time":"2022-08-10T13:42:56Z","timestamp":1660138976000},"page":"5970","source":"Crossref","is-referenced-by-count":2,"title":["Diagnosis of Induced Resistance State in Tomato Using Artificial Neural Network Models Based on Supervised Self-Organizing Maps and Fluorescence Kinetics"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-8039-1077","authenticated-orcid":false,"given":"Xanthoula Eirini","family":"Pantazi","sequence":"first","affiliation":[{"name":"Laboratory of Agricultural Engineering, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3225-8033","authenticated-orcid":false,"given":"Anastasia L.","family":"Lagopodi","sequence":"additional","affiliation":[{"name":"Laboratory of Plant Pathology, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}]},{"given":"Afroditi Alexandra","family":"Tamouridou","sequence":"additional","affiliation":[{"name":"Laboratory of Agricultural Engineering, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}]},{"given":"Nathalie Nephelie","family":"Kamou","sequence":"additional","affiliation":[{"name":"Laboratory of Plant Pathology, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}]},{"given":"Ioannis","family":"Giannakis","sequence":"additional","affiliation":[{"name":"Laboratory of Plant Pathology, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}]},{"given":"Georgios","family":"Lagiotis","sequence":"additional","affiliation":[{"name":"Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thermi, 57001 Thessaloniki, Greece"}]},{"given":"Evangelia","family":"Stavridou","sequence":"additional","affiliation":[{"name":"Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thermi, 57001 Thessaloniki, Greece"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-1447-3514","authenticated-orcid":false,"given":"Panagiotis","family":"Madesis","sequence":"additional","affiliation":[{"name":"Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thermi, 57001 Thessaloniki, Greece"},{"name":"Laboratory of Molecular Biology of Plants, School of Agricultural Sciences, University of Thessaly, 38221 Volos, Greece"}]},{"given":"Georgios","family":"Tziotzios","sequence":"additional","affiliation":[{"name":"Laboratory of Agricultural Engineering, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}]},{"given":"Konstantinos","family":"Dolaptsis","sequence":"additional","affiliation":[{"name":"Laboratory of Agricultural Engineering, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-7270-5307","authenticated-orcid":false,"given":"Dimitrios","family":"Moshou","sequence":"additional","affiliation":[{"name":"Laboratory of Agricultural Engineering, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,10]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Han, L., Haleem, M.S., and Taylor, M. 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