{"id":589,"date":"2017-02-24T08:36:20","date_gmt":"2017-02-24T08:36:20","guid":{"rendered":"http:\/\/pat-lin04.ibers.aber.ac.uk\/?page_id=589"},"modified":"2024-05-10T12:45:35","modified_gmt":"2024-05-10T12:45:35","slug":"panicle-detection","status":"publish","type":"page","link":"https:\/\/www.plant-phenomics.ac.uk\/index.php\/research\/panicle-detection\/","title":{"rendered":"Panicle Detection"},"content":{"rendered":"<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"583\" data-permalink=\"https:\/\/www.plant-phenomics.ac.uk\/index.php\/research\/panicle-detection\/ears_rg\/\" data-orig-file=\"https:\/\/i0.wp.com\/www.plant-phenomics.ac.uk\/wp-content\/uploads\/2017\/02\/ears_rg.jpg?fit=263%2C320&amp;ssl=1\" data-orig-size=\"263,320\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"ears_rg\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/www.plant-phenomics.ac.uk\/wp-content\/uploads\/2017\/02\/ears_rg.jpg?fit=247%2C300&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/www.plant-phenomics.ac.uk\/wp-content\/uploads\/2017\/02\/ears_rg.jpg?fit=263%2C320&amp;ssl=1\" class=\"alignleft wp-image-583 size-full\" src=\"https:\/\/i0.wp.com\/www.plant-phenomics.ac.uk\/wp-content\/uploads\/2017\/02\/ears_rg.jpg?resize=263%2C320\" alt=\"Panicle Detection\" width=\"263\" height=\"320\"><\/p>\n<p class=\"p1\">Robust automated objective quantification of flowering in cereals and grasses remains a challenge.<\/p>\n<p class=\"p1\">To address this, we have developed a filter whose response to a temporal sequence of&nbsp;images delivers an estimate of panicle emergence that correlates very well with manual observations, see our paper:<\/p>\n<p class=\"p1\"><a href=\"http:\/\/www.publish.csiro.au\/paper\/FP14056.htm\"><strong>Image based estimation of oat panicle development using local patterns.<\/strong> R D Boyle, F Corke and C Howarth, published in Functional Plant Biology&nbsp; <\/a><\/p>\n<p><strong><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s00138-015-0719-5\">Automated estimation of tiller number in wheat by ribbon detection. <\/a><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s00138-015-0719-5\">R. D. Boyle, F. M. K. Corke &amp; J. H. Doonan <\/a><\/strong><\/p>\n<p class=\"p1\"><a href=\"http:\/\/www.publish.csiro.au\/paper\/FP14056.htm\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"590\" data-permalink=\"https:\/\/www.plant-phenomics.ac.uk\/index.php\/research\/panicle-detection\/137bc10e733c1f2659a49d0118f93c83_f44\/\" data-orig-file=\"https:\/\/i0.wp.com\/www.plant-phenomics.ac.uk\/wp-content\/uploads\/2017\/02\/137bc10e733c1f2659a49d0118f93c83_f44.png?fit=215%2C190&amp;ssl=1\" data-orig-size=\"215,190\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"137bc10e733c1f2659a49d0118f93c83_f44\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/www.plant-phenomics.ac.uk\/wp-content\/uploads\/2017\/02\/137bc10e733c1f2659a49d0118f93c83_f44.png?fit=215%2C190&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/www.plant-phenomics.ac.uk\/wp-content\/uploads\/2017\/02\/137bc10e733c1f2659a49d0118f93c83_f44.png?fit=215%2C190&amp;ssl=1\" class=\"alignleft wp-image-590 size-full\" src=\"https:\/\/i0.wp.com\/www.plant-phenomics.ac.uk\/wp-content\/uploads\/2017\/02\/137bc10e733c1f2659a49d0118f93c83_f44.png?resize=215%2C190\" alt=\"\" width=\"215\" height=\"190\"><\/a><a href=\"http:\/\/www.publish.csiro.au\/paper\/FP14056.htm\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"591\" data-permalink=\"https:\/\/www.plant-phenomics.ac.uk\/index.php\/research\/panicle-detection\/1aa0d2fdcd047f9188ff93b80f97c125_f45\/\" data-orig-file=\"https:\/\/i0.wp.com\/www.plant-phenomics.ac.uk\/wp-content\/uploads\/2017\/02\/1aa0d2fdcd047f9188ff93b80f97c125_f45.jpg?fit=199%2C190&amp;ssl=1\" data-orig-size=\"199,190\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"1aa0d2fdcd047f9188ff93b80f97c125_f45\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/www.plant-phenomics.ac.uk\/wp-content\/uploads\/2017\/02\/1aa0d2fdcd047f9188ff93b80f97c125_f45.jpg?fit=199%2C190&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/www.plant-phenomics.ac.uk\/wp-content\/uploads\/2017\/02\/1aa0d2fdcd047f9188ff93b80f97c125_f45.jpg?fit=199%2C190&amp;ssl=1\" class=\"wp-image-591  alignleft\" src=\"https:\/\/i0.wp.com\/www.plant-phenomics.ac.uk\/wp-content\/uploads\/2017\/02\/1aa0d2fdcd047f9188ff93b80f97c125_f45.jpg?resize=188%2C188\" alt=\"\" width=\"188\" height=\"188\"><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Robust automated objective quantification of flowering in cereals and grasses remains a challenge. To address this, we have developed a filter whose response to a temporal sequence of&nbsp;images delivers an &#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":14,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0,"jetpack_post_was_ever_published":false,"footnotes":""},"class_list":["post-589","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Panicle Detection &#8212; National Plant Phenomics Centre<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.plant-phenomics.ac.uk\/index.php\/research\/panicle-detection\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Panicle Detection &#8212; National Plant Phenomics Centre\" \/>\n<meta property=\"og:description\" content=\"Robust automated objective quantification of flowering in cereals and grasses remains a challenge. 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