DIGITAL IMAGE ANALYSIS USING FLATBED SCANNING SYSTEM FOR PURITY TESTING OF RICE SEED AND CONFIRMATION BY GROW OUT TEST

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dc.contributorIndonesian Agency for Agricultural Research and Developmenten-US
dc.creatorWidiastuti, Mira Landep; Indonesian Center for Rice Research and Bogor Agriculture University
dc.creatorHairmansis, Aris; Indonesian Center For Rice Research
dc.creatorPalupi, Endah Retno; Bogor Agriculture University
dc.creatorIlyas, Satriyas; Bogor Agriculture University
dc.date2018-12-09
dc.date.accessioned2020-11-06T02:30:49Z
dc.date.available2020-11-06T02:30:49Z
dc.descriptionThe common method used for purity testing of rice seed is human visual observation. This method, however, has a high degree of subjectivity when dealing with different rice varieties which have similar morphology. Digital image analysis with flatbed scanning for purity testing of rice seed was proposed by investigating the morphology of rice seeds and confirmation by grow out test (GOT) in the field. Two extra-long seed varieties were used in this study including a red rice Aek Sibundong and an aromatic rice Sintanur. The identification on 14 parameters of morphological characteristics indicated that only six parameters were correlated, i.e. area, feret, minimum feret, aspect ratio, round, and solidity. The purity of rice seed can be effectively determined using digital image analysis of spikelet color and shape. Based on the discriminant analysis of the digital image the recognition rate of rice seed purity was higher than 99.2% for shape and 93.55% for color. The method, therefore, has a potential to be used as a complement in rice seed purity testing to increase the accuracy of human visual method and it is more sensitive than GOT.en-US
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dc.identifierhttp://ejurnal.litbang.pertanian.go.id/index.php/ijas/article/view/8858
dc.identifier10.21082/ijas.v19n2.2018.p49-56
dc.identifier.urihttps://repository.pertanian.go.id/handle/123456789/10518
dc.languageeng
dc.publisherIndonesian Agency for Agricultural Research and Developmenten-US
dc.relationhttp://ejurnal.litbang.pertanian.go.id/index.php/ijas/article/view/8858/8188
dc.relationhttp://ejurnal.litbang.pertanian.go.id/index.php/ijas/article/downloadSuppFile/8858/583
dc.rightsCopyright (c) 2018 Indonesian Journal of Agricultural Scienceen-US
dc.rightshttp://creativecommons.org/licenses/by-sa/4.0en-US
dc.sourceIndonesian Journal of Agricultural Science; Vol 19, No 2 (2018): December 2018; 49-56en-US
dc.source2354-8509
dc.source1411-982X
dc.subjectDigital image analysis; flatbed scanning; grow out test; puritytestingen-US
dc.titleDIGITAL IMAGE ANALYSIS USING FLATBED SCANNING SYSTEM FOR PURITY TESTING OF RICE SEED AND CONFIRMATION BY GROW OUT TESTen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeen-US
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