{"id":1733,"date":"2026-06-19T18:47:00","date_gmt":"2026-06-19T11:47:00","guid":{"rendered":"https:\/\/www.commsci.psu.ac.th\/research\/?p=1733"},"modified":"2026-06-19T07:15:12","modified_gmt":"2026-06-19T00:15:12","slug":"%e0%b8%9a%e0%b8%97%e0%b8%84%e0%b8%a7%e0%b8%b2%e0%b8%a1%e0%b8%a7%e0%b8%b4%e0%b8%88%e0%b8%b1%e0%b8%a2-%e0%b9%80%e0%b8%a3%e0%b8%b7%e0%b9%88%e0%b8%ad%e0%b8%87-image-processing-based-machine-learning-for","status":"publish","type":"post","link":"https:\/\/www.commsci.psu.ac.th\/research\/%e0%b8%9a%e0%b8%97%e0%b8%84%e0%b8%a7%e0%b8%b2%e0%b8%a1%e0%b8%a7%e0%b8%b4%e0%b8%88%e0%b8%b1%e0%b8%a2-%e0%b9%80%e0%b8%a3%e0%b8%b7%e0%b9%88%e0%b8%ad%e0%b8%87-image-processing-based-machine-learning-for\/","title":{"rendered":"\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e27\u0e34\u0e08\u0e31\u0e22 \u0e40\u0e23\u0e37\u0e48\u0e2d\u0e07 &#8220;Image Processing-Based Machine Learning for Multi-Class Apple Bruise Classification&#8221;"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"512\" height=\"640\" src=\"https:\/\/www.commsci.psu.ac.th\/research\/wp-content\/uploads\/2026\/06\/705502133_1564140215466220_4106324919470870760_n.jpg\" alt=\"\" class=\"wp-image-1734\"\/><\/figure>\n<\/div>\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">\u0e02\u0e2d\u0e40\u0e0a\u0e34\u0e0d\u0e0a\u0e27\u0e19\u0e2d\u0e48\u0e32\u0e19\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e27\u0e34\u0e08\u0e31\u0e22\u0e17\u0e35\u0e48\u0e44\u0e14\u0e49\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e15\u0e35\u0e1e\u0e34\u0e21\u0e1e\u0e4c\u0e43\u0e19\u0e27\u0e32\u0e23\u0e2a\u0e32\u0e23\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e19\u0e32\u0e19\u0e32\u0e0a\u0e32\u0e15\u0e34<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e27\u0e34\u0e08\u0e31\u0e22 \u0e40\u0e23\u0e37\u0e48\u0e2d\u0e07 &#8220;Image Processing-Based Machine Learning for Multi-Class Apple Bruise Classification&#8221; \u0e44\u0e14\u0e49\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e15\u0e35\u0e1e\u0e34\u0e21\u0e1e\u0e4c\u0e43\u0e19 ECTI TRANSACTIONS ON COMPUTER AND INFORMATION TECHNOLOGY, Vol. 20 No. 1 (January 2026). \u0e0b\u0e36\u0e48\u0e07\u0e2d\u0e22\u0e39\u0e48\u0e43\u0e19\u0e10\u0e32\u0e19\u0e02\u0e49\u0e2d\u0e21\u0e39\u0e25 Scopus Q3<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e27\u0e34\u0e08\u0e31\u0e22\u0e19\u0e35\u0e49\u0e19\u0e33\u0e40\u0e2a\u0e19\u0e2d\u0e01\u0e32\u0e23\u0e1e\u0e31\u0e12\u0e19\u0e32\u0e23\u0e30\u0e1a\u0e1a\u0e15\u0e23\u0e27\u0e08\u0e08\u0e31\u0e1a\u0e23\u0e2d\u0e22\u0e0a\u0e49\u0e33\u0e1a\u0e19\u0e1c\u0e25\u0e41\u0e2d\u0e1b\u0e40\u0e1b\u0e34\u0e25\u0e41\u0e1a\u0e1a\u0e2d\u0e31\u0e15\u0e42\u0e19\u0e21\u0e31\u0e15\u0e34 \u0e42\u0e14\u0e22\u0e1c\u0e2a\u0e21\u0e1c\u0e2a\u0e32\u0e19\u0e40\u0e17\u0e04\u0e19\u0e34\u0e04\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e20\u0e32\u0e1e\u0e14\u0e34\u0e08\u0e34\u0e17\u0e31\u0e25 (Digital Image Processing) \u0e40\u0e02\u0e49\u0e32\u0e01\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e23\u0e35\u0e22\u0e19\u0e23\u0e39\u0e49\u0e02\u0e2d\u0e07\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07 (Machine Learning) \u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e40\u0e1e\u0e34\u0e48\u0e21\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e43\u0e19\u0e01\u0e32\u0e23\u0e04\u0e27\u0e1a\u0e04\u0e38\u0e21\u0e04\u0e38\u0e13\u0e20\u0e32\u0e1e\u0e1c\u0e25\u0e1c\u0e25\u0e34\u0e15 \u0e07\u0e32\u0e19\u0e27\u0e34\u0e08\u0e31\u0e22\u0e44\u0e14\u0e49\u0e40\u0e1b\u0e23\u0e35\u0e22\u0e1a\u0e40\u0e17\u0e35\u0e22\u0e1a\u0e2d\u0e31\u0e25\u0e01\u0e2d\u0e23\u0e34\u0e17\u0e36\u0e21 7 \u0e23\u0e39\u0e1b\u0e41\u0e1a\u0e1a \u0e42\u0e14\u0e22\u0e1c\u0e25\u0e01\u0e32\u0e23\u0e28\u0e36\u0e01\u0e29\u0e32\u0e1e\u0e1a\u0e27\u0e48\u0e32\u0e42\u0e21\u0e40\u0e14\u0e25 Decision Tree \u0e41\u0e25\u0e30 Gradient Boosting \u0e43\u0e2b\u0e49\u0e04\u0e48\u0e32\u0e04\u0e27\u0e32\u0e21\u0e41\u0e21\u0e48\u0e19\u0e22\u0e33\u0e2a\u0e39\u0e07\u0e2a\u0e38\u0e14\u0e40\u0e17\u0e48\u0e32\u0e01\u0e31\u0e19\u0e17\u0e35\u0e48 99.35% \u0e41\u0e15\u0e48 Decision Tree \u0e21\u0e35\u0e04\u0e27\u0e32\u0e21\u0e42\u0e14\u0e14\u0e40\u0e14\u0e48\u0e19\u0e01\u0e27\u0e48\u0e32\u0e43\u0e19\u0e14\u0e49\u0e32\u0e19\u0e1b\u0e23\u0e30\u0e2a\u0e34\u0e17\u0e18\u0e34\u0e20\u0e32\u0e1e\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e17\u0e35\u0e48\u0e23\u0e27\u0e14\u0e40\u0e23\u0e47\u0e27\u0e01\u0e27\u0e48\u0e32\u0e16\u0e36\u0e07 200 \u0e40\u0e17\u0e48\u0e32 (\u0e43\u0e0a\u0e49\u0e40\u0e27\u0e25\u0e32\u0e40\u0e17\u0e23\u0e19\u0e40\u0e1e\u0e35\u0e22\u0e07 0.0012 \u0e27\u0e34\u0e19\u0e32\u0e17\u0e35) \u0e41\u0e25\u0e30\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e08\u0e33\u0e41\u0e19\u0e01\u0e23\u0e2d\u0e22\u0e0a\u0e49\u0e33\u0e23\u0e30\u0e14\u0e31\u0e1a\u0e23\u0e38\u0e19\u0e41\u0e23\u0e07\u0e44\u0e14\u0e49\u0e2d\u0e22\u0e48\u0e32\u0e07\u0e41\u0e21\u0e48\u0e19\u0e22\u0e33 \u0e0b\u0e36\u0e48\u0e07\u0e0a\u0e48\u0e27\u0e22\u0e15\u0e2d\u0e1a\u0e42\u0e08\u0e17\u0e22\u0e4c\u0e2d\u0e38\u0e15\u0e2a\u0e32\u0e2b\u0e01\u0e23\u0e23\u0e21\u0e17\u0e35\u0e48\u0e15\u0e49\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e04\u0e27\u0e32\u0e21\u0e23\u0e27\u0e14\u0e40\u0e23\u0e47\u0e27\u0e41\u0e25\u0e30\u0e04\u0e27\u0e32\u0e21\u0e19\u0e48\u0e32\u0e40\u0e0a\u0e37\u0e48\u0e2d\u0e16\u0e37\u0e2d\u0e43\u0e19\u0e01\u0e32\u0e23\u0e04\u0e31\u0e14\u0e41\u0e22\u0e01\u0e1c\u0e25\u0e44\u0e21\u0e49<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0e04\u0e33\u0e2a\u0e33\u0e04\u0e31\u0e0d: Bruise Detection, Apple Quality, Image Processing, Feature Extraction, Machine Learning . \u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e15\u0e34\u0e14\u0e15\u0e32\u0e21\u0e2d\u0e48\u0e32\u0e19\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e27\u0e34\u0e08\u0e31\u0e22\u0e09\u0e1a\u0e31\u0e1a\u0e40\u0e15\u0e47\u0e21\u0e44\u0e14\u0e49\u0e17\u0e35\u0e48 <a href=\"https:\/\/l.facebook.com\/l.php?u=https%3A%2F%2Fdoi.org%2F10.37936%2Fecti-cit.2026201.263517%3Ffbclid%3DIwZXh0bgNhZW0CMTAAYnJpZBExV2Z3R2sxTkV5bjVqNnFEMHNydGMGYXBwX2lkEDIyMjAzOTE3ODgyMDA4OTIAAR67D4HRbA1orz7wPLrvsoLpqTGuUOErf9g_ONCWg1S0AJ8pIUS-YtGuqAYhWw_aem_hZ2--sAUeAtHGjxjXIOQVA&amp;h=AUC04wo-EDZVkkPkp5KE-8J48Ply7x60_b2a3uNwmB3ds2Khi_rAhWk6rLY934_pH3wPdhPz2ZIH73_pbNVfuc_y9ef8Z2JpXrTPCRK_6zZGiKKqOpjVMAotz1vynSxvL3C6PqbUVQdl0SPT&amp;__tn__=-UK-R&amp;c[0]=AUBn5mdj_VKS3waUNtKBsixiBpVB7iPf3i4Yj9OO3rrIQrV_TfUxk3UNG10OWHljWr-KdaiMAUASda1ko_AyNxcf9Flm7oer-tGvPBZAJNU1DDEiVuOPnlvoPwIAtpHO-DktmrIX-X0uoOInEiTwC4zneqyYcJyfOgb7Ctw7UlSX32OtxbaH_xCAwi8AQwV9EzckoINpPbTRPsSr3VSLONif5Q\" rel=\"noreferrer noopener\" target=\"_blank\">https:\/\/doi.org\/10.37936\/ecti-cit.2026201.263517<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u0e1c\u0e39\u0e49\u0e40\u0e02\u0e35\u0e22\u0e19 \u0e14\u0e23.\u0e14\u0e32\u0e23\u0e32\u0e19\u0e32\u0e16 \u0e41\u0e15\u0e48\u0e19\u0e2a\u0e38\u0e48\u0e22 \u0e2d\u0e32\u0e08\u0e32\u0e23\u0e22\u0e4c\u0e1b\u0e23\u0e30\u0e08\u0e33\u0e2a\u0e32\u0e02\u0e32\u0e27\u0e34\u0e0a\u0e32\u0e04\u0e2d\u0e21\u0e1e\u0e34\u0e27\u0e40\u0e15\u0e2d\u0e23\u0e4c\u0e41\u0e25\u0e30\u0e27\u0e34\u0e17\u0e22\u0e32\u0e01\u0e32\u0e23\u0e2a\u0e32\u0e23\u0e2a\u0e19\u0e40\u0e17\u0e28\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e01\u0e32\u0e23\u0e08\u0e31\u0e14\u0e01\u0e32\u0e23<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Citation: Tansui, D. (2026). Image Processing-Based Machine Learning for Multi-Class Apple Bruise Classification. ECTI TRANSACTIONS ON COMPUTER AND INFORMATION TECHNOLOGY, 20(1), 116\u2013129. <a href=\"https:\/\/doi.org\/10.37936\/ecti-cit.2026201.263517?fbclid=IwZXh0bgNhZW0CMTAAYnJpZBExV2Z3R2sxTkV5bjVqNnFEMHNydGMGYXBwX2lkEDIyMjAzOTE3ODgyMDA4OTIAAR7nb7EK752pLPlsxQPNGiPwL5sa2qv5HlmyAqWmOt9ptjNLOLHVOIEDJON03w_aem_Yc5QDePiJeWEsDolIjDodA\" rel=\"noreferrer noopener\" target=\"_blank\">https:\/\/doi.org\/10.37936\/ecti-cit.2026201.263517<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0e02\u0e2d\u0e40\u0e0a\u0e34\u0e0d\u0e0a\u0e27\u0e19\u0e2d\u0e48\u0e32\u0e19\u0e1a\u0e17\u0e04\u0e27\u0e32\u0e21\u0e27\u0e34\u0e08\u0e31\u0e22\u0e17\u0e35\u0e48\u0e44\u0e14\u0e49\u0e23\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e15\u0e35\u0e1e\u0e34\u0e21\u0e1e\u0e4c\u0e43\u0e19\u0e27\u0e32\u0e23\u0e2a\u0e32\u0e23\u0e23\u0e30\u0e14\u0e31<\/p>\n","protected":false},"author":6,"featured_media":1734,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","inline_featured_image":false,"footnotes":""},"categories":[93],"tags":[],"class_list":["post-1733","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-published-works"],"jetpack_featured_media_url":"https:\/\/www.commsci.psu.ac.th\/research\/wp-content\/uploads\/2026\/06\/705502133_1564140215466220_4106324919470870760_n.jpg","_links":{"self":[{"href":"https:\/\/www.commsci.psu.ac.th\/research\/wp-json\/wp\/v2\/posts\/1733","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.commsci.psu.ac.th\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.commsci.psu.ac.th\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.commsci.psu.ac.th\/research\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.commsci.psu.ac.th\/research\/wp-json\/wp\/v2\/comments?post=1733"}],"version-history":[{"count":1,"href":"https:\/\/www.commsci.psu.ac.th\/research\/wp-json\/wp\/v2\/posts\/1733\/revisions"}],"predecessor-version":[{"id":1735,"href":"https:\/\/www.commsci.psu.ac.th\/research\/wp-json\/wp\/v2\/posts\/1733\/revisions\/1735"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.commsci.psu.ac.th\/research\/wp-json\/wp\/v2\/media\/1734"}],"wp:attachment":[{"href":"https:\/\/www.commsci.psu.ac.th\/research\/wp-json\/wp\/v2\/media?parent=1733"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.commsci.psu.ac.th\/research\/wp-json\/wp\/v2\/categories?post=1733"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.commsci.psu.ac.th\/research\/wp-json\/wp\/v2\/tags?post=1733"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}