Identifikasi dan Klasifikasi Benih Padi Menggunakan Analisis Citra Digital Berdasarkan Bentuk Fisik

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dc.contributorid-ID
dc.creatorWidiastuti, Mira Landep; Indonesian Center for Rice Research and Bogor Agriculture University
dc.creatorWahyuni, Sri; BB Padi
dc.creatorYuningsih, Aida Fitri Viva; BB Padi
dc.creatorRohman, Holil Munawar; BB Padi
dc.creatorYajid, Ahmad; BB Padi
dc.date2020-05-29
dc.descriptionSeed quality testing is one of aspect control and quality assurance for certified seeds. The grain shape is one of the important parameter components tested in the seed certification process especially in the field. The common method used were using human/ analysts visual observation. It has a high degree of subjectivity and low efficiency. Observation of complex samples in the field requires an alternative observation that is more subjective and accurate. An alternative technology for identifying seeds during certification and production is identification based on digital images. The purpose of this study were to identify and classify rice seeds based on physical form using digital image analysis. A total of 20 varieties with various shapes have been taken with a microscope that connected to the camera and computer. The resulting image file was analyzed using imageJ 1.51k software and analyzed statistic to discriminate the seeds tested according to their group. Results from this study indicated that digital image analysis is able to identify and classify seeds. The grouping of seeds into long, medium and round seed categories based on perimeter, circularity, AR, and round parameters with successive correlation levels is 95.4%; 82.5%; 45.3% and 38.9%. This method is more sensitive to identifying seed characteristics than eye visualization of seeds whose physical size is outside the range of numbers specified in the description. For example Cisadane, Gilirang and Ketonggo seeds.id-ID
dc.formatapplication/pdf
dc.identifierhttp://ejurnal.litbang.pertanian.go.id/index.php/jpptp/article/view/11339
dc.identifier10.21082/jpptp.v4n1.2020.p27-34
dc.languageind
dc.publisherPusat Penelitian dan Pengembangan Tanaman Panganen-US
dc.relationhttp://ejurnal.litbang.pertanian.go.id/index.php/jpptp/article/view/11339/9101
dc.rightsCopyright (c) 2020 Jurnal Penelitian Pertanian Tanaman Panganen-US
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0en-US
dc.sourceJurnal Penelitian Pertanian Tanaman Pangan; Vol 4, No 1 (2020): April 2020; 27-34en-US
dc.source2541-5174
dc.source2541-5166
dc.subjectshape; digital analysis; perimeter; circularity; aspect ratio; roundid-ID
dc.titleIdentifikasi dan Klasifikasi Benih Padi Menggunakan Analisis Citra Digital Berdasarkan Bentuk Fisikid-ID
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeen-US
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