20.500.12556/DKUM-68970 The accuracy of the germination rate of seeds based on image processing and artificial neural networks Natančnost določanja kalečih semen s pomočjo obdelave slik in nevronskih mrež This paper describes a computer vision system based on image processing and machine learning techniques which was implemented for automatic assessment of the tomato seed germination rate. The entire system was built using open source applications Image J, Weka and their public Java classes and linked by our specially developed code. After object detection, we applied artificial neural networks (ANN), which was able to correctly classify 95.44% of germinated seeds of tomato (Solanum lycopersicum L.). Članek opisuje sistem računalniškega vida, ki temelji na tehnikah obdelave slik in strojnega učenja, ki je bil izdelan za avtomatsko oceno stopnje kaljenja semen paradižnika. Celoten sistem je bil zgrajen s pomočjo odprtokodnih aplikacij ImageJ, Weka in njihovih javno dostopnih javanskih kod, ki smo jih povezali v lastno originalno razvito kodo. Po odkrivanju predmetov na RGB slikah, smo uporabili umetne nevronske mreže (ANN), ki so bile sposobne pravilno razvrstiti 95,44% nakaljenih semen paradižnika (Solanum lycopersicum L.). image processing artificial neural networks seeds tomato obdelava slik umetne nevronske mreže semena paradižnik true false true Angleški jezik Slovenski jezik Znanstveno delo 2017-11-14 13:21:58 2017-11-14 13:22:41 2022-08-01 16:44:13 2019-07-11 17:16:49 2015 0 0 str. 19-24 št. 1/2 Letn. 12 Dec. 2015 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1580-8432 004.9:631.547.1 116855808 4129068 10.1515/agricultura-2016-0003 1580-8432 URN:SI:UM:DK:4ZTRS3HE Agricultura_2015_Skrubej,_Rozman,_Stajnko_The_accuracy_of_the_germination_rate_of_seeds_based_on_image_processing_and_artificial_neural.pdf Agricultura_2015_Skrubej,_Rozman,_Stajnko_The_accuracy_of_the_germination_rate_of_seeds_based_on_image_processing_and_artificial_neural.pdf 1 58852E46FCAEACDCD25118BE522DAA41 631f657fa45a4bfb09c1964a4041ed68e1201e8de7b440b71daf6ca1448b70c0 7f47db2f-7c0f-11eb-bb7a-00155d0001ca 20.500.12556/dkum/f3a4fb9f-929f-46f0-a765-f52c91759b2d https://dk.um.si/Dokument.php?lang=slv&id=120285 https://www.degruyter.com/view/j/agricultura.2015.12.issue-1-2/agricultura-2016-0003/agricultura-2016-0003.xml 1 https://dk.um.si/Dokument.php?lang=slv&id=120284 Fakulteta za kmetijstvo in biosistemske vede Agricultura 0 0 0