{"id":433,"date":"2025-10-10T13:49:56","date_gmt":"2025-10-10T13:49:56","guid":{"rendered":"https:\/\/scancor.de\/r\/?p=433"},"modified":"2025-10-13T15:07:29","modified_gmt":"2025-10-13T15:07:29","slug":"research-article-predicting-cannabinoid-yield-from-spectral-leaf-scans","status":"publish","type":"post","link":"https:\/\/scancor.de\/r\/applications\/research-article-predicting-cannabinoid-yield-from-spectral-leaf-scans\/","title":{"rendered":"Research Article: Predicting Cannabinoid Yield from Spectral Leaf Scans"},"content":{"rendered":"\n<p>We are pleased to see our latest co-authored paper published in\u00a0<em>Industrial Crops and Products<\/em>:<\/p>\n\n\n\n<p><strong>\u201cHyperspectral measurements of <em>Cannabis sativa<\/em> fan leaves during early floral development predict final cannabinoid yield.\u201d<\/strong><\/p>\n\n\n\n<p>The study shows that&nbsp;<strong>spectral-optical measurements of fan leaves<\/strong>, taken early in flowering, can already&nbsp;<strong>predict the final cannabinoid yield<\/strong>&nbsp;with high accuracy. Using&nbsp;<strong>hand-held hyperspectral sensing<\/strong>&nbsp;and&nbsp;<strong>machine learning models<\/strong>, the team demonstrated reliable, non-destructive predictions for CBD, THC, and total cannabinoid content \u2014 weeks before harvest.<\/p>\n\n\n\n<p>For us at Compolytics, this work highlights once again the&nbsp;<strong>power of data-driven optics<\/strong>: transforming spectral patterns from living plants into actionable insights.<\/p>\n\n\n\n<p>A great collaboration with our research partners from The University of Adelaide \u2014 showing what\u2019s possible when&nbsp;<strong>spectral sensing meets intelligent modelling.<\/strong><\/p>\n\n\n\n<p>\ud83d\udcd6&nbsp;<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0926669025015560\" target=\"_blank\" rel=\"noreferrer noopener\">Read the publication in&nbsp;<em>Industrial Crops and Products<\/em><\/a><\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>This research project and the connected development of spectral optical sensor technology for cannabis \/ industrial hemp is part of a <a href=\"https:\/\/scancor.de\/r\/tag\/cannabis\/\">whole series on this topic<\/a>. <\/p>\n\n\n\n<p>\ud83d\udcd6\u00a0Read more: <\/p>\n\n\n\n<p><a href=\"https:\/\/scancor.de\/r\/applications\/spectral-assessment-of-cultivar-and-sex-of-cannabis-plants\/\">Spectral Assessment of Cultivar and Sex of Cannabis Plants<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/scancor.de\/r\/applications\/improving-cannabis-farming\/\">Improving Cannabis Farming using Spectral Sensing<\/a><\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-body-text-color has-alpha-channel-opacity has-body-text-background-color has-background is-style-wide\"\/>\n\n\n\n<p><strong>Media coverage<\/strong><\/p>\n\n\n\n<p>The study has also attracted wider attention. <strong>Forbes<\/strong> featured the findings in an article titled \u201c<a href=\"https:\/\/www.forbes.com\/sites\/benjaminadams\/2025\/10\/10\/new-technique-accurately-predicts-thc-content-weeks-early-study-shows\/\" target=\"_blank\" rel=\"noreferrer noopener\">New Technique Accurately Predicts THC Content Weeks Early, Study Shows<\/a>\u201d, highlighting the potential of hyperspectral sensing and machine learning for improved quality control and risk management in cannabis cultivation.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-body-text-color has-alpha-channel-opacity has-body-text-background-color has-background is-style-wide\"\/>\n\n\n\n<p class=\"has-small-font-size\">Image credit: Banner illustration by Dr Aaron Phillips, University of Adelaide, created as part of the research collaboration leading to the publication.<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We are pleased to see our latest co-authored paper published in\u00a0Industrial Crops and Products: \u201cHyperspectral [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":434,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[30,21,22,10,27],"class_list":["post-433","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-applications","tag-_all","tag-australia","tag-cannabis","tag-crop-plant","tag-research-article"],"_links":{"self":[{"href":"https:\/\/scancor.de\/r\/wp-json\/wp\/v2\/posts\/433","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/scancor.de\/r\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/scancor.de\/r\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/scancor.de\/r\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/scancor.de\/r\/wp-json\/wp\/v2\/comments?post=433"}],"version-history":[{"count":11,"href":"https:\/\/scancor.de\/r\/wp-json\/wp\/v2\/posts\/433\/revisions"}],"predecessor-version":[{"id":498,"href":"https:\/\/scancor.de\/r\/wp-json\/wp\/v2\/posts\/433\/revisions\/498"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/scancor.de\/r\/wp-json\/wp\/v2\/media\/434"}],"wp:attachment":[{"href":"https:\/\/scancor.de\/r\/wp-json\/wp\/v2\/media?parent=433"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/scancor.de\/r\/wp-json\/wp\/v2\/categories?post=433"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/scancor.de\/r\/wp-json\/wp\/v2\/tags?post=433"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}