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Measurements were taken by the spectroradiometer in consecutive measurement series. The main part of the study was the evaluation of the decision trees and the popular ensemble learning algorithms to select the most accurate one. After subsequent iterations of the training process and adjustment of hyperparameters, satisfactory accuracy results, equal to 0.987 for random forest, were obtained. This paper also covers the examination of the spectral range required for Alternaria solani identification. From several variants, the accuracy of models based on VIS and NIR spectral range was the closest to the accuracy obtained with the whole spectrum of measured absolute reflectance.<\/jats:p>","DOI":"10.3233\/ais-200573","type":"journal-article","created":{"date-parts":[[2020,9,11]],"date-time":"2020-09-11T13:25:26Z","timestamp":1599830726000},"page":"407-418","source":"Crossref","is-referenced-by-count":12,"title":["The detection of Alternaria solani infection on tomatoes using ensemble learning"],"prefix":"10.1177","volume":"12","author":[{"given":"Bogdan","family":"Ruszczak","sequence":"first","affiliation":[{"name":"QZ Solutions Sp. z o.o., Ozimska 72A Street, 45-310 Opole, Poland"},{"name":"Faculty of Electrical Engineering Automatic Control and Informatics, Opole University of Technology, Pr\u00f3szkowska 76 Street, 45-758 Opole, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Krzysztof","family":"Smyka\u0142a","sequence":"additional","affiliation":[{"name":"QZ Solutions Sp. z o.o., Ozimska 72A Street, 45-310 Opole, Poland"},{"name":"Faculty of Electrical Engineering Automatic Control and Informatics, Opole University of Technology, Pr\u00f3szkowska 76 Street, 45-758 Opole, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karol","family":"Dziuba\u0144ski","sequence":"additional","affiliation":[{"name":"QZ Solutions Sp. z o.o., Ozimska 72A Street, 45-310 Opole, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/AIS-200573_ref1","first-page":"1","article-title":"Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques","author":"Abdulridha","year":"2019","journal-title":"Precision Agriculture"},{"key":"10.3233\/AIS-200573_ref2","unstructured":"S.\u00a0Adhikari, E.\u00a0Kc, L.\u00a0Balkumari, B.\u00a0Shrestha and B.\u00a0Baiju, Tomato plant diseases detection system using image processing, in: Kantipur Engineering College Conference, 2018."},{"issue":"2","key":"10.3233\/AIS-200573_ref3","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1080\/07352681003617285","article-title":"Plant disease severity estimated visually, by digital photography and image analysis, and by hyperspectral imaging","volume":"29","author":"Bock","year":"2010","journal-title":"CRC Critical Reviews in Plant Sciences"},{"issue":"2","key":"10.3233\/AIS-200573_ref4","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1002\/mnfr.201100222","article-title":"Interactions of dietary carotenoids with activated (singlet) oxygen and free radicals: Potential effects for human health","volume":"56","author":"Bohm","year":"2012","journal-title":"Molecular Nutrition & Food Research"},{"key":"10.3233\/AIS-200573_ref5","doi-asserted-by":"publisher","first-page":"4026","DOI":"10.3390\/rs70404026","article-title":"Evaluating multispectral images and vegetation indices for precision farming applications from UAV images","volume":"7","author":"Candiago","year":"2015","journal-title":"Remote Sensing"},{"key":"10.3233\/AIS-200573_ref6","first-page":"68","article-title":"Conidial dispersal of Alternaria solani in tomato","volume":"35","author":"Datar","year":"1982","journal-title":"Indian Phytopathology"},{"key":"10.3233\/AIS-200573_ref7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fpls.2019.00628","article-title":"Detection of gray mold leaf infections prior to visual symptom appearance using a five-band multispectral sensor","volume":"10","author":"Fahrentrapp","year":"2019","journal-title":"Frontiers in Plant Science"},{"key":"10.3233\/AIS-200573_ref9","doi-asserted-by":"crossref","unstructured":"M.R.\u00a0Foolad, Genome mapping and molecular breeding of tomato, International Journal of Plant Genomics 2007 (2007).","DOI":"10.1155\/2007\/64358"},{"key":"10.3233\/AIS-200573_ref10","doi-asserted-by":"crossref","unstructured":"K.\u00a0Golhani, S.K.\u00a0Balasundram, G.\u00a0Vadamalai and B.\u00a0Pradhan, A review of neural networks in plant disease detection using hyperspectral data, Inf. 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