{"id":6999,"date":"2026-05-07T09:28:40","date_gmt":"2026-05-07T01:28:40","guid":{"rendered":"http:\/\/172.30.27.2\/?p=6999"},"modified":"2026-05-07T09:30:01","modified_gmt":"2026-05-07T01:30:01","slug":"shuleijiaoshoutuanduizaishijuehuaduojishuyanjiufangmianlianxuqudexinjinzhan","status":"publish","type":"post","link":"http:\/\/172.30.27.2\/index.php\/shuleijiaoshoutuanduizaishijuehuaduojishuyanjiufangmianlianxuqudexinjinzhan\/","title":{"rendered":"\u8212\u78ca\u6559\u6388\u56e2\u961f\u5728\u89c6\u89c9\u82b1\u6735\u8ba1\u6570\u7814\u7a76\u65b9\u9762\u8fde\u7eed\u53d6\u5f97\u65b0\u8fdb\u5c55"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"6999\" class=\"elementor elementor-6999\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1afdcc47 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1afdcc47\" 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Sinica\u300b\u5f55\u7528\uff0c\u8bba\u6587DOI\u4e3a10.1109\/JAS.2026.126050\u3002\u540c\u65f6\uff0c\u56e2\u961f\u56f4\u7ed5\u83ca\u82b1\u79fb\u52a8\u5e73\u53f0\u5b9e\u65f6\u8ba1\u6570\u5f00\u5c55\u7684\u7814\u7a76\u8bba\u6587\u201cVTC-TrackBot: A Robust Spatiotemporal Framework for Real-Time Chrysanthemum Counting on Mobile Edge Devices\u201d\u88ab\u300aIEEE Transactions on AgriFood Electronics\u300b\u5f55\u7528\uff0c\u8bba\u6587DOI\u4e3a10.1109\/TAFE.2026.3688647\u3002\u300aIEEE\/CAA Journal of Automatica Sinica\u300b\uff08\u7b80\u79f0 IEEE\/CAA 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class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1730\" height=\"790\" src=\"http:\/\/172.30.27.2\/wp-content\/uploads\/2026\/05\/\u56fe\u72472.png\" class=\"attachment-full size-full wp-image-7001\" alt=\"\" srcset=\"http:\/\/172.30.27.2\/wp-content\/uploads\/2026\/05\/\u56fe\u72472.png 1730w, http:\/\/172.30.27.2\/wp-content\/uploads\/2026\/05\/\u56fe\u72472-300x137.png 300w, http:\/\/172.30.27.2\/wp-content\/uploads\/2026\/05\/\u56fe\u72472-1024x468.png 1024w, http:\/\/172.30.27.2\/wp-content\/uploads\/2026\/05\/\u56fe\u72472-768x351.png 768w, http:\/\/172.30.27.2\/wp-content\/uploads\/2026\/05\/\u56fe\u72472-1536x701.png 1536w\" sizes=\"(max-width: 1730px) 100vw, 1730px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">\u56fe2. \u4ece\u4f4e\u7a7a\u8ddf\u8e2a\u5230\u9ad8\u7a7a\u5bc6\u5ea6\u4f30\u8ba1\uff1a\u65e0\u4eba\u673a\u82b1\u6735\u8ba1\u6570\u7b56\u7565\u5bf9\u6bd4\u7814\u7a76\u3002(a) \u65e0\u4eba\u673a\u6570\u636e\u91c7\u96c6\u6d41\u7a0b\uff1b(b) \u9762\u5411\u4f4e\u7a7a\uff082-4\u7c73\uff09\u573a\u666f\u7684\u52a8\u6001\u68c0\u6d4b\u4e0e\u8ddf\u8e2a\u6d41\u7a0b\uff1b(c) \u9762\u5411\u9ad8\u7a7a\uff088-16\u7c73\uff09\u573a\u666f\u7684\u8d85\u5206\u8fa8\u7387\u91cd\u5efa\u4e0e\u57fa\u4e8e\u56fe\u50cf\u5757\u7684\u68c0\u6d4b\u6d41\u7a0b\u3002<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0c01f75 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0c01f75\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fcccb32\" data-id=\"fcccb32\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d89d00e elementor-widget elementor-widget-text-editor\" data-id=\"d89d00e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>\u6b64\u6b21\u4e24\u7bc7\u8bba\u6587\u5728\u56db\u6708\u4efd\u8fde\u7eed\u5f55\u7528\uff0c\u5e76\u975e\u6e90\u4e8e\u67d0\u4e00\u9879\u5355\u70b9\u7814\u7a76\u7684\u5076\u7136\u7a81\u7834\uff0c\u800c\u662f\u56e2\u961f\u56f4\u7ed5\u83ca\u82b1\u76f8\u5173\u8bfe\u9898\u6301\u7eed\u79ef\u7d2f\u3001\u9010\u6b65\u6df1\u5316\u540e\u5f62\u6210\u7684\u96c6\u4e2d\u4f53\u73b0\u3002\u8fd1\u5e74\u6765\uff0c\u4f9d\u6258\u201c\u9762\u5411\u8336\u83ca\u9ad8\u6548\u91c7\u6536\u673a\u68b0\u7684\u6838\u5fc3\u95ee\u9898\u7814\u7a76\u201d\u201c\u8336\u7528\u83ca\u5b9c\u673a\u5316\u683d\u57f9\u5173\u952e\u6280\u672f\u7814\u7a76\u4e0e\u91c7\u6536\u88c5\u5907\u7814\u5236\u201d\u7b49\u9879\u76ee\uff0c\u56e2\u961f\u6301\u7eed\u56f4\u7ed5\u8336\u83ca\u751f\u4ea7\u4e2d\u7684\u611f\u77e5\u4e0e\u88c5\u5907\u9700\u6c42\u5f00\u5c55\u7814\u7a76\uff0c\u5e76\u5728\u6b64\u57fa\u7840\u4e0a\u9010\u6b65\u62d3\u5c55\u5230\u82b1\u671f\u8bc6\u522b\u3001\u751f\u957f\u4fe1\u606f\u91c7\u96c6\u3001\u82b1\u6735\u8bc6\u522b\u4e0e\u8ba1\u6570\u3001\u65e0\u4eba\u673a\u76d1\u6d4b\u4ee5\u53ca\u4ea7\u91cf\u4f30\u7b97\u7b49\u65b9\u5411\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u56e2\u961f\u672c\u79d1\u751f\u8fd8\u56f4\u7ed5\u201c\u57fa\u4e8e\u673a\u5668\u89c6\u89c9\u7684\u8336\u83ca\u82b1\u6735\u8bc6\u522b\u548c\u8ba1\u6570\u7814\u7a76\u201d\u5f00\u5c55SRT\u9879\u76ee\uff0c\u8fdb\u4e00\u6b65\u4e30\u5bcc\u4e86\u76f8\u5173\u7814\u7a76\u50a8\u5907\u3002\u6b63\u662f\u5728\u8fd9\u6837\u6301\u7eed\u63a8\u8fdb\u7684\u57fa\u7840\u4e0a\uff0c\u56e2\u961f\u9010\u6b65\u5f62\u6210\u4e86\u5bf9\u89c6\u89c9\u82b1\u6735\u8ba1\u6570\u6280\u672f\u4f53\u7cfb\u53ca\u5176\u5e94\u7528\u573a\u666f\u7684\u7cfb\u7edf\u6027\u8ba4\u8bc6\u3002\u8fd9\u4e5f\u8fdb\u4e00\u6b65\u4f53\u73b0\u4e86\u56e2\u961f\u56f4\u7ed5\u83ca\u82b1\u89c6\u89c9\u611f\u77e5\u7814\u7a76\u7531\u7406\u8bba\u603b\u7ed3\u5411\u7cfb\u7edf\u5b9e\u73b0\u6301\u7eed\u5ef6\u4f38\u7684\u7814\u7a76\u6001\u52bf\u3002<\/p><p>\u4ece\u65f6\u95f4\u8109\u7edc\u770b\uff0c\u56e2\u961f\u56f4\u7ed5\u83ca\u82b1\u89c6\u89c9\u611f\u77e5\u7684\u7814\u7a76\u662f\u9010\u6b65\u63a8\u8fdb\u5e76\u6301\u7eed\u6df1\u5316\u7684\u30022021\u5e74\uff0c\u621a\u8d85\u7b49\u5728\u300aAgronomy\u300b\u53d1\u8868\u8336\u83ca\u65e9\u82b1\u671f\u8bc6\u522b\u7814\u7a76\uff0c\u63d0\u51faF-YOLO\u6a21\u578b\uff0c\u7528\u4e8e\u7530\u95f4\u73af\u5883\u4e0b\u8336\u83ca\u65e9\u82b1\u671f\u68c0\u6d4b\uff0c\u8f83\u65e9\u4ece\u751f\u4ea7\u5b9e\u9645\u4e2d\u7684\u82b1\u671f\u5224\u522b\u95ee\u9898\u5207\u5165\u76f8\u5173\u7814\u7a76[1]\u30022022\u5e74\uff0c\u56e2\u961f\u56f4\u7ed5\u590d\u6742\u73af\u5883\u4e0b\u7684\u83ca\u82b1\u76ee\u6807\u68c0\u6d4b\u7ee7\u7eed\u63a8\u8fdb\uff0c\u76f8\u7ee7\u5728\u300aExpert Systems with Applications\u300b\u300aFrontiers in Plant Science\u300b\u548c\u300aPlants\u300b\u53d1\u8868\u7814\u7a76\u6210\u679c\uff0c\u5206\u522b\u9488\u5bf9\u975e\u7ed3\u6784\u5316\u73af\u5883\u4e0b\u8336\u83ca\u68c0\u6d4b[2]\u3001\u751f\u6210\u589e\u5f3a\u4e0e\u8fb9\u7f18\u8ba1\u7b97\u652f\u6301\u4e0b\u7684\u8336\u83ca\u8bc6\u522b[3]\uff0c\u4ee5\u53ca\u590d\u6742\u73af\u5883\u4e2d\u7684\u836f\u7528\u83ca\u82b1\u68c0\u6d4b\u7b49\u95ee\u9898\u5f00\u5c55\u63a2\u7d22[4]\uff0c\u9010\u6b65\u62d3\u5c55\u4e86\u56e2\u961f\u5728\u590d\u6742\u573a\u666f\u76ee\u6807\u611f\u77e5\u65b9\u9762\u7684\u7814\u7a76\u57fa\u7840\u3002\u540c\u5e74\uff0c\u56e2\u961f\u8fd8\u5728IEEE Dataport\u516c\u5f00\u53d1\u5e03\u8336\u83ca\u56fe\u50cf\u6570\u636e\u96c6\uff0c\u5e76\u4e8e2023\u5e74\u4ee5\u201cImage dataset of tea chrysanthemums in complex outdoor scenes\u201d\u4e3a\u9898\u5728\u300aFrontiers in Plant Science\u300b\u53d1\u8868\u6570\u636e\u8bba\u6587[5]\uff0c\u6784\u5efa\u4e86\u9762\u5411\u590d\u6742\u5ba4\u5916\u573a\u666f\u7684\u8336\u83ca\u6570\u636e\u8d44\u6e90\u3002\u6b64\u540e\uff0c\u56e2\u961f\u8fdb\u4e00\u6b65\u5c06\u7814\u7a76\u62d3\u5c55\u81f3\u65e0\u4eba\u673a\u5e73\u53f0\u4e0b\u7684\u8336\u83ca\u68c0\u6d4b\u4e0e\u8ba1\u6570\u3001\u82d7\u60c5\u52a8\u6001\u76d1\u6d4b\u53ca\u591a\u6e90\u6570\u636e\u5e94\u7528\u3002\u5176\u4e2d\u5f20\u83f2\u5a05\u5f00\u5c55\u4e86\u57fa\u4e8eUAV\u548c\u8d85\u5206\u8fa8\u7387\u91cd\u5efa\u7684\u8336\u83ca\u68c0\u6d4b\u4e0e\u8ba1\u6570\u7814\u7a76\uff0c\u59da\u6cfd\u6d9b\u7ee7\u7eed\u63a8\u8fdb\u57fa\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\u7684UAV\u6302\u8f7d\u5207\u82b1\u83ca\u52a3\u8d28\u82d7\u52a8\u6001\u76d1\u6d4b\u4e0e\u9884\u8b66\u88c5\u5907\u7814\u7a76\u30022025\u5e74\uff0c\u91d1\u4e43\u8d5f\u7b49\u5728\u300aElectronics\u300b\u53d1\u8868\u57fa\u4e8e\u592a\u9633\u80fd\u6740\u866b\u706f\u7684\u4f5c\u7269\u751f\u957f\u4fe1\u606f\u91c7\u96c6\u7cfb\u7edf\u7814\u7a76\uff0c\u8fdb\u4e00\u6b65\u5b8c\u5584\u4e86\u7530\u95f4\u751f\u957f\u4fe1\u606f\u83b7\u53d6\u6280\u672f[6]\uff1b\u540c\u5e74\uff0c\u621a\u8d85\u7b49\u5728\u300aJournal of Field Robotics\u300b\u53d1\u8868\u8336\u83ca\u65e9\u671f\u82b1\u6735\u8ba1\u6570\u7814\u7a76\u6210\u679c[7]\uff0c\u81e7\u601d\u626c\u7b49\u5728IEEE ICIT\u53d1\u8868\u590d\u6742\u5ba4\u5916\u573a\u666f\u4e0b\u8336\u83ca\u5b9e\u65f6\u68c0\u6d4b\u7814\u7a76\u6210\u679c[8]\uff0c\u63a8\u52a8\u56e2\u961f\u7531\u76ee\u6807\u8bc6\u522b\u8fdb\u4e00\u6b65\u8fc8\u5411\u82b1\u6735\u8ba1\u6570\u4e0e\u5b9e\u65f6\u611f\u77e5\u5e94\u7528\u3002\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u56e2\u961f\u53c8\u8fdb\u4e00\u6b65\u62d3\u5c55\u5230\u591a\u6e90\u6570\u636e\u9a71\u52a8\u4e0e\u65e0\u4eba\u673a\u98de\u884c\u7b56\u7565\u534f\u540c\u7684\u56ed\u6797\u5c0f\u83ca\u4ea7\u91cf\u4f30\u7b97\u7814\u7a76\u3002\u4e0a\u8ff0\u5de5\u4f5c\u5f7c\u6b64\u8854\u63a5\u3001\u9010\u6b65\u6df1\u5165\uff0c\u6784\u6210\u4e86\u56e2\u961f\u56f4\u7ed5\u83ca\u82b1\u89c6\u89c9\u611f\u77e5\u6301\u7eed\u63a8\u8fdb\u7684\u7814\u7a76\u94fe\u6761\uff0c\u4e5f\u4e3a\u6b64\u6b21\u7efc\u8ff0\u8bba\u6587\u7684\u5f62\u6210\u4e0e\u5f55\u7528\u5960\u5b9a\u4e86\u575a\u5b9e\u57fa\u7840\u3002<\/p><p>\u5728\u957f\u671f\u7814\u7a76\u57fa\u7840\u4e0a\uff0c\u56e2\u961f\u6784\u5efa\u5e76\u516c\u5f00\u53d1\u5e03\u4e86\u9996\u4e2a\u9762\u5411\u590d\u6742\u5ba4\u5916\u573a\u666f\u7684\u8336\u7528\u83ca\u82b1\u56fe\u50cf\u6570\u636e\u96c6\u3002\u76f8\u5173\u6210\u679c\u4ee5\u201cImage dataset of tea chrysanthemums in complex outdoor scenes\u201d\u4e3a\u9898\u53d1\u8868\u4e8e\u300aFrontiers in Plant Science\u300b\uff0c\u5e76\u540c\u6b65\u53d1\u5e03\u4e8eIEEE Dataport[9]\u3002\u8be5\u6570\u636e\u96c6\u8986\u76d66\u7c7b\u8336\u83ca\u54c1\u79cd\uff0c\u91c7\u75283\u79cd\u62cd\u6444\u89c6\u89d2\uff0c\u91c7\u96c6\u4e8e\u906e\u6321\u3001\u91cd\u53e0\u3001\u9634\u5f71\u3001\u9006\u5149\u548c\u76f4\u5c04\u5149\u7b49\u591a\u79cd\u590d\u6742\u7530\u95f4\u6761\u4ef6\u4e0b\uff0c\u5171\u5305\u542b81276\u5e45\u56fe\u50cf\u548c453\u6bb5\u89c6\u9891\uff0c\u4e3a\u590d\u6742\u73af\u5883\u4e0b\u8336\u83ca\u68c0\u6d4b\u3001\u8ba1\u6570\u3001\u8ddf\u8e2a\u53ca\u8fb9\u7f18\u7aef\u90e8\u7f72\u7814\u7a76\u63d0\u4f9b\u4e86\u91cd\u8981\u7684\u6570\u636e\u57fa\u7840\u3002<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8255e8e elementor-widget elementor-widget-image\" data-id=\"8255e8e\" data-element_type=\"widget\" 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C, Nyalala I, Chen K. Detecting the early flowering stage of tea chrysanthemum using the F-YOLO model[J]. Agronomy, 2021, 11(5): 834. DOI: 10.3390\/agronomy11050834.<\/p><p>[2]Qi C, Gao J, Pearson S, et al. Tea chrysanthemum detection under unstructured environments using the TC-YOLO model[J]. Expert Systems with Applications, 2022, 193: 116473. DOI: 1016\/j.eswa.2021.116473.<\/p><p>[3]Qi C, Gao J, Chen K, et al. Tea chrysanthemum detection by leveraging generative adversarial networks and edge computing[J]. Frontiers in Plant Science, 2022, 13: 850606. DOI: 10.3389\/fpls.2022.850606.<\/p><p>[4]Qi C, Chang J, Zhang J, et al. Medicinal chrysanthemum detection under complex environments using the MC-LCNN model[J]. Plants, 2022, 11(7): 838. DOI: 10.3390\/plants11070838.<\/p><p>[5]Zang S, Shu L, Huang K, et al. Image dataset of tea chrysanthemums in complex outdoor scenes[J]. Frontiers in Plant Science, 2023, 14: 1134911. DOI: 10.3389\/fpls.2023.1134911.<\/p><p>[6]Jin, N.; Hu, T.; Shu, L.; Zang, H.; Li, K.; Han, R.; Yang, X. A crop Growth Information Collection System Based on a Solar Insecticidal Lamp. Electronics 2025, 14, 370. <a href=\"https:\/\/doi.org\/10.3390\/electronics14020370\">https:\/\/doi.org\/10.3390\/electronics14020370<\/a>.<\/p><p>[7]Qi C, Chen K, Gao J. A vision transformer\u2010based robotic perception for early tea chrysanthemum flower counting in field environments[J]. Journal of Field Robotics, 2025, 42(1): 65-78. DOI: 10.1002\/rob.22398.<\/p><p>[8]Zang S, Shu L, Han R, et al. Real-Time Detection of Tea Chrysanthemums in Complex Outdoor Scenes[C]\/\/2025 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2025: 1-8. DOI: 10.1109\/ICIT63637.2025.10965216.<\/p><p>[9]Zang S, Shu L, Huang K, et al. Image dataset of tea chrysanthemums in complex outdoor scenes [DS\/OL]. IEEE Dataport, 2022. DOI: 10.21227\/vc18-rv06.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\u8fd1\u65e5\uff0c\u5357\u4eac\u519c\u4e1a\u5927\u5b66\u667a\u6167\u519c\u4e1a\u5b66\u9662\u8212\u78ca\u6559\u6388\u56e2\u961f\u64b0\u5199\u7684\u7efc\u8ff0\u8bba\u6587\u201cVisual-Based Flower Counti &#8230; <a title=\"\u8212\u78ca\u6559\u6388\u56e2\u961f\u5728\u89c6\u89c9\u82b1\u6735\u8ba1\u6570\u7814\u7a76\u65b9\u9762\u8fde\u7eed\u53d6\u5f97\u65b0\u8fdb\u5c55\" class=\"read-more\" href=\"http:\/\/172.30.27.2\/index.php\/shuleijiaoshoutuanduizaishijuehuaduojishuyanjiufangmianlianxuqudexinjinzhan\/\" aria-label=\"More on \u8212\u78ca\u6559\u6388\u56e2\u961f\u5728\u89c6\u89c9\u82b1\u6735\u8ba1\u6570\u7814\u7a76\u65b9\u9762\u8fde\u7eed\u53d6\u5f97\u65b0\u8fdb\u5c55\">\u9605\u8bfb\u66f4\u591a<\/a><\/p>\n","protected":false},"author":12,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[99,59],"class_list":["post-6999","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-99","tag-keyandongtai"],"_links":{"self":[{"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/posts\/6999","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/comments?post=6999"}],"version-history":[{"count":7,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/posts\/6999\/revisions"}],"predecessor-version":[{"id":7009,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/posts\/6999\/revisions\/7009"}],"wp:attachment":[{"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/media?parent=6999"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/categories?post=6999"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/172.30.27.2\/index.php\/wp-json\/wp\/v2\/tags?post=6999"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}