{"id":14549,"date":"2026-02-06T17:35:21","date_gmt":"2026-02-06T22:35:21","guid":{"rendered":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/?p=14549"},"modified":"2026-02-18T11:30:29","modified_gmt":"2026-02-18T16:30:29","slug":"congratulations-to-ayesha-naikodi-for-receiving-a-travel-award-to-nappn","status":"publish","type":"post","link":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/2026\/02\/06\/congratulations-to-ayesha-naikodi-for-receiving-a-travel-award-to-nappn\/","title":{"rendered":"Congratulations to Ayesha Naikodi for Receiving a Travel Award to NAPPN!"},"content":{"rendered":"<p><img decoding=\"async\" class=\"alignnone size-full wp-image-7678\" src=\"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-content\/uploads\/sites\/759\/2022\/01\/IMG_20211123_154340_975-e1643052090786.jpg\" alt=\"\" width=\"300\" \/><\/p>\n<p>We\u2019re happy to share that Ayesha Naikodi has been selected to receive a travel award, supporting attendance at the \u201cModular Image Analysis with PlantCV\u201d workshop at <a href=\"https:\/\/www.plantphenotyping.org\">North American Plant Phenotyping Network (NAPPN) 2026<\/a>.<br \/>\nAyesha will also be presenting her research on the \u201cImpact of Annotation Modality on Annotator Experience and Model Outcomes in Plant Root Image Segmentation\u201d at the conference. Her research explores how image annotation tools like brush and polygon influence label quality, quantity, annotator experience like perceived ease-of-use and fatigue, and downstream model performance in plant root segmentation tasks.<\/p>\n<p>Awesome job Ayesha!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We\u2019re happy to share that Ayesha Naikodi has been selected to receive a travel award, supporting attendance at the \u201cModular Image Analysis with PlantCV\u201d workshop at North American Plant Phenotyping Network (NAPPN) 2026. Ayesha will also be presenting her research on the \u201cImpact of Annotation Modality on Annotator Experience and Model Outcomes in Plant Root [&hellip;]<\/p>\n","protected":false},"author":28,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-templates\/single-sidebar-none.php","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"featured_post":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[9],"tags":[497,573,575],"class_list":["post-14549","post","type-post","status-publish","format-standard","hentry","category-news","tag-nappn","tag-plantcv","tag-plantphenotyping"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/14549","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/users\/28"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/comments?post=14549"}],"version-history":[{"count":1,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/14549\/revisions"}],"predecessor-version":[{"id":15335,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/14549\/revisions\/15335"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/media?parent=14549"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/categories?post=14549"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/tags?post=14549"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}