[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-31444":3,"doc-seo-31444":27},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"file_id":15,"file_url":16,"file_type":17,"file_size":18,"view_count":4,"is_deleted":4,"is_public":19,"is_downloadable":19,"audit_status":19,"page_count":20,"language":21,"language_code":22,"table_of_contents":23,"faqs":24,"seo_title":13,"seo_description":14,"update_tm":25,"read_time":26},31444,687197207639,"Asher","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","LEAF Lightweight Explainable AI Framework for Mango Anthracnose Detection and Severity Grading","Mango anthracnose, caused by Colletotrichum gloeosporioides, damages fruit quality and reduces yield, making early detection essential. The LEAF framework provides automated, real-time leaf analysis by using a fine-tuned MobileNetV2 model for binary classification of healthy versus infected leaves, combined with severity grading. Explainability is achieved through Grad-CAM to visualize infection-relevant regions, improving interpretability and trust. Transfer learning and TensorFlow Lite optimization enable lightweight deployment for resource-constrained field devices.","cbCairtkh46WrolN","https://ap.wps.com/l/cbCairtkh46WrolN","pdf",816212,1,2,"English","en","# Introduction and Motivation\n# Proposed Framework\n## Major Contributions\n## Proposed Workflow","[{\"question\":\"What problem does LEAF address in mango anthracnose detection?\",\"answer\":\"LEAF targets the slow, subjective nature of manual inspection and the difficulty of identifying early-stage infections that can spread quickly under favorable conditions.\"},{\"question\":\"How does LEAF classify healthy versus infected mango leaves?\",\"answer\":\"LEAF uses a fine-tuned MobileNetV2 model with transfer learning for binary classification of healthy and infected mango leaves.\"},{\"question\":\"How does LEAF provide explainability and severity information?\",\"answer\":\"Grad-CAM visualizations highlight the leaf regions that influence predictions, and severity grading can be added via multi-class classification or regression when severity-graded labels are available.\"}]",1779483717,5,{"code":4,"msg":28,"data":29},"ok",{"site_id":30,"language":22,"slug":31,"title":13,"keywords":32,"description":14,"schema_data":33,"social_meta":83,"head_meta":85,"extra_data":87,"updated_unix":25},105,"leaf-lightweight-explainable-ai-framework-for-mango-anthracnose-detection-and-severity-grading","",{"@graph":34,"@context":82},[35,51,65],{"@type":36,"itemListElement":37},"BreadcrumbList",[38,42,45,48],{"item":39,"name":40,"@type":41,"position":19},"https://docshare.wps.com","Home","ListItem",{"item":43,"name":44,"@type":41,"position":20},"https://docshare.wps.com/document/","Document",{"item":46,"name":12,"@type":41,"position":47},"https://docshare.wps.com/document/research-report/",3,{"item":49,"name":13,"@type":41,"position":50},"https://docshare.wps.com/document/leaf-lightweight-explainable-ai-framework-for-mango-anthracnose-detection-and-severity-grading/31444/",4,{"url":49,"name":13,"@type":52,"author":53,"headline":13,"publisher":55,"fileFormat":58,"description":14,"dateModified":59,"datePublished":59,"encodingFormat":58,"isAccessibleForFree":60,"interactionStatistic":61},"DigitalDocument",{"name":9,"@type":54},"Person",{"url":39,"name":56,"@type":57},"DocShare","Organization","application/pdf","2026-05-22",true,{"@type":62,"interactionType":63,"userInteractionCount":4},"InteractionCounter",{"@type":64},"ViewAction",{"@type":66,"mainEntity":67},"FAQPage",[68,74,78],{"name":69,"@type":70,"acceptedAnswer":71},"What problem does LEAF address in mango anthracnose detection?","Question",{"text":72,"@type":73},"LEAF targets the slow, subjective nature of manual inspection and the difficulty of identifying early-stage infections that can spread quickly under favorable conditions.","Answer",{"name":75,"@type":70,"acceptedAnswer":76},"How does LEAF classify healthy versus infected mango leaves?",{"text":77,"@type":73},"LEAF uses a fine-tuned MobileNetV2 model with transfer learning for binary classification of healthy and infected mango leaves.",{"name":79,"@type":70,"acceptedAnswer":80},"How does LEAF provide explainability and severity information?",{"text":81,"@type":73},"Grad-CAM visualizations highlight the leaf regions that influence predictions, and severity grading can be added via multi-class classification or regression when severity-graded labels are available.","https://schema.org",{"og:url":49,"og:type":84,"og:title":13,"og:site_name":56,"og:description":14},"article",{"robots":86,"canonical":49},"index,follow",{"doc_id":7,"site_id":30}]