{"id":4145,"date":"2025-08-11T13:17:38","date_gmt":"2025-08-11T13:17:38","guid":{"rendered":"https:\/\/breda-robotics.cloud04.ibizz.nl\/?post_type=project&#038;p=4145"},"modified":"2025-09-03T13:08:44","modified_gmt":"2025-09-03T13:08:44","slug":"detection-and-classification-of-onion-defects-using-hyperspectral-imaging-ai","status":"publish","type":"project","link":"https:\/\/b-robotics.eu\/en\/project\/agrofood\/detection-and-classification-of-onion-defects-using-hyperspectral-imaging-ai\/","title":{"rendered":"Detection and classification of onion defects using hyperspectral imaging &amp; AI 2025"},"content":{"rendered":"<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"579\" src=\"https:\/\/b-robotics.eu\/wp-content\/uploads\/2025\/08\/Scherm\u00adafbeelding-2025-08-11-om-15.15.54-1024x579.png\" alt=\"Photo: Ai Uien\u2019s Minor Project\" class=\"wp-image-4148\" srcset=\"https:\/\/b-robotics.eu\/wp-content\/uploads\/2025\/08\/Scherm\u00adafbeelding-2025-08-11-om-15.15.54-1024x579.png 1024w, https:\/\/b-robotics.eu\/wp-content\/uploads\/2025\/08\/Scherm\u00adafbeelding-2025-08-11-om-15.15.54-300x170.png 300w, https:\/\/b-robotics.eu\/wp-content\/uploads\/2025\/08\/Scherm\u00adafbeelding-2025-08-11-om-15.15.54-768x434.png 768w, https:\/\/b-robotics.eu\/wp-content\/uploads\/2025\/08\/Scherm\u00adafbeelding-2025-08-11-om-15.15.54-1536x869.png 1536w, https:\/\/b-robotics.eu\/wp-content\/uploads\/2025\/08\/Scherm\u00adafbeelding-2025-08-11-om-15.15.54-2048x1158.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<section class=\"wp-block-group paddingtopbottom3 has-global-padding is-layout-constrained wp-block-group-is-layout-constrained is-layout-flow wp-block-group-is-layout-flow\">\n<h2 class=\"wp-block-heading\">Project Information<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In this minor project, students investigated how hyperspectral imaging combined with artificial intelligence can help in the automatic detection of quality defects in onions. The aim was to develop a system that enables automated quality control of onions, using a setup where hyperspectral technology is integrated. This contributes to smart agriculture and efficient food inspection.<\/p>\n<\/section>\n\n\n\n<section class=\"wp-block-group paddingtopbottom3 has-global-padding is-layout-constrained wp-block-group-is-layout-constrained is-layout-flow wp-block-group-is-layout-flow\">\n<h2 class=\"wp-block-heading has-text-align-right\">What has been realised?<\/h2>\n\n\n\n<p class=\"has-text-align-right wp-block-paragraph\">The students have developed a working demonstrator that scans, analyses, and classifies onions based on their spectral properties. By linking hyperspectral data to AI algorithms, the system can identify anomalies that are difficult to see with the naked eye. The demonstrator shows how technology can be used to assess food quality objectively and scalably.<\/p>\n<\/section>\n\n\n\n<section class=\"wp-block-group paddingtopbottom3 has-global-padding is-layout-constrained wp-block-group-is-layout-constrained is-layout-flow wp-block-group-is-layout-flow\">\n<h2 class=\"wp-block-heading\">What have they learned?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The project group has learned how hyperspectral technology and artificial intelligence can be combined in a practical application. They have gained experience in processing complex image data, training classification models, and building a physical setup for inspection. Furthermore, they have gained insight into how technological innovation can contribute to sustainability and automation within the agricultural sector.<\/p>\n<\/section>\n\n\n\n<section class=\"wp-block-group paddingtopbottom3 has-global-padding is-layout-constrained wp-block-group-is-layout-constrained is-layout-flow wp-block-group-is-layout-flow\">\n<h2 class=\"wp-block-heading paddingbottom2\">Discover the project<\/h2>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Minor project: Detection and classification of union defects using hyperspectral imaging and AI\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/bFnOEO8RjQI?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n<\/section>","protected":false},"excerpt":{"rendered":"<p>Project informatie In dit minorproject onderzochten studenten hoe\u00a0hyperspectrale beeldvorming\u00a0gecombineerd met\u00a0kunstmatige intelligentie\u00a0kan helpen bij het automatisch detecteren van kwaliteitsafwijkingen in uien. Het doel was om een systeem te ontwikkelen dat geautomatiseerde kwaliteitscontrole van uien mogelijk maakt, met behulp van een opstelling waarin hyperspectrale technologie wordt ge\u00efntegreerd. Dit draagt bij aan slimme landbouw en effici\u00ebnte voedselinspectie. Wat [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":4148,"menu_order":0,"template":"","domein":[],"sector":[21],"programma":[26],"funder":[],"partners":[4,189,162],"showcase":[],"class_list":["post-4145","project","type-project","status-publish","has-post-thumbnail","hentry","sector-agrofood","programma-toekomstmakers","partners-avans-hogeschool","partners-breda-robotics","partners-rma-techniek"],"_links":{"self":[{"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/project\/4145","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/project"}],"about":[{"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/types\/project"}],"author":[{"embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/users\/2"}],"version-history":[{"count":2,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/project\/4145\/revisions"}],"predecessor-version":[{"id":4156,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/project\/4145\/revisions\/4156"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/media\/4148"}],"wp:attachment":[{"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/media?parent=4145"}],"wp:term":[{"taxonomy":"domein","embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/domein?post=4145"},{"taxonomy":"sector","embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/sector?post=4145"},{"taxonomy":"programma","embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/programma?post=4145"},{"taxonomy":"funder","embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/funder?post=4145"},{"taxonomy":"partners","embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/partners?post=4145"},{"taxonomy":"showcase","embeddable":true,"href":"https:\/\/b-robotics.eu\/en\/wp-json\/wp\/v2\/showcase?post=4145"}],"curies":[{"name":"word processing","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}