{"id":3724,"date":"2025-10-28T09:11:40","date_gmt":"2025-10-28T01:11:40","guid":{"rendered":"https:\/\/www.leexinghai.com\/aic\/?p=3724"},"modified":"2025-11-24T18:22:36","modified_gmt":"2025-11-24T10:22:36","slug":"sci-fs-en-2510281","status":"publish","type":"post","link":"https:\/\/www.leexinghai.com\/aic\/sci-fs-en-2510281\/","title":{"rendered":"[\u6587\u732eSCI-FS-EN-2510281]PlantCaFo: An efficient few-shot plant disease recognition method based on foundation models"},"content":{"rendered":"\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/www.leexinghai.com\/aic\/wp-content\/uploads\/2025\/10\/PlantCaFo-An-efficient-few-shot-plant-disease-recognition-method-based-on-foundation-models.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"\u5d4c\u5165 PlantCaFo An efficient few-shot plant disease recognition method based on foundation models\"><\/object><a id=\"wp-block-file--media-47b8dd6d-f1ce-47a1-adb8-45b97664cee1\" href=\"https:\/\/www.leexinghai.com\/aic\/wp-content\/uploads\/2025\/10\/PlantCaFo-An-efficient-few-shot-plant-disease-recognition-method-based-on-foundation-models.pdf\">PlantCaFo An efficient few-shot plant disease recognition method based on foundation models<\/a><a href=\"https:\/\/www.leexinghai.com\/aic\/wp-content\/uploads\/2025\/10\/PlantCaFo-An-efficient-few-shot-plant-disease-recognition-method-based-on-foundation-models.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-47b8dd6d-f1ce-47a1-adb8-45b97664cee1\">\u4e0b\u8f7d<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Although plant disease recognition is highly important in agricultural production, traditional methods face challenges due to the high costs associated with data collection and the scarcity of samples. Few-shot plant disease identification tasks, which are based on transfer learning, can learn feature representations from a small amount of data; however, most of these methods require pretraining within the relevant domain. Recently, foundation models have demonstrated excellent performance in zero-shot and few-shot learning scenarios. In this study, we explore the potential of foundation models in plant disease recognition by proposing an efficient few-shot plant disease recognition model (PlantCaFo) based on foundation models. This model operates on an end-to-end network structure, integrating prior knowledge from multiple pretraining models. Specifically, we design a lightweight dilated contextual adapter (DCon-Adapter) to learn new knowledge from training data and use a weight decomposition matrix (WDM) to update the text weights. We test the proposed model on a public dataset, PlantVillage, and show that the model achieves an accuracy of 93.53 \u200b% in a \u201c38-way 16-shot\u201d setting. In addition, we conduct experiments on images collected from natural environments (Cassava dataset), achieving an accuracy improvement of 6.80 \u200b% over the baseline. To validate the model&#8217;s generalization performance, we prepare an out-of-distribution dataset with 21 categories, and our model notably increases the accuracy of this dataset. Extensive experiments demonstrate that our model exhibits superior performance over other models in few-shot plant disease identification.<\/p>\n","protected":false},"author":1,"featured_media":3726,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[70],"tags":[85,83],"class_list":["post-3724","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-wxk","tag-fsl","tag-zuhui4"],"_links":{"self":[{"href":"https:\/\/www.leexinghai.com\/aic\/wp-json\/wp\/v2\/posts\/3724","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.leexinghai.com\/aic\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.leexinghai.com\/aic\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.leexinghai.com\/aic\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.leexinghai.com\/aic\/wp-json\/wp\/v2\/comments?post=3724"}],"version-history":[{"count":1,"href":"https:\/\/www.leexinghai.com\/aic\/wp-json\/wp\/v2\/posts\/3724\/revisions"}],"predecessor-version":[{"id":3727,"href":"https:\/\/www.leexinghai.com\/aic\/wp-json\/wp\/v2\/posts\/3724\/revisions\/3727"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.leexinghai.com\/aic\/wp-json\/wp\/v2\/media\/3726"}],"wp:attachment":[{"href":"https:\/\/www.leexinghai.com\/aic\/wp-json\/wp\/v2\/media?parent=3724"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.leexinghai.com\/aic\/wp-json\/wp\/v2\/categories?post=3724"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.leexinghai.com\/aic\/wp-json\/wp\/v2\/tags?post=3724"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}