[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3750":3,"related-3750":66},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":60,"slug":63,"view_count":64,"doi":8,"paper":8,"created_at":65},3750,"科技支撑云南山地甜蜜产业成为全国蔗糖可持续发展样板","https:\u002F\u002Fwww.yn.xinhuanet.com\u002F20260924\u002Ffc7e6f61bb5a4863a92d7c85daf82166\u002Fc.html","云南甘蔗科技成果汇报会在云南省农科院甘蔗研究所举办。国家糖料产业技术体系首席科学家、云南省农科院副院长张跃彬作专题报告。云蔗081609、云蔗0551等主栽品种及其绿色轻简配套的旱坡地栽培技术支撑云南甘蔗平均亩产提升至5.4吨。2025\u002F2026榨季全省入榨甘蔗2236.49万吨。",null,"新华网云南","2026-09-24T00:00:00Z","报道",10,false,79,{"impact":16,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},24,22,16,12,5,1,"省级甘蔗科技成果报道，含主栽品种与亩产、入榨量等实质数据，具产业参考价值，但时效性一般。",[24],{"name":9,"url":6},[26,27,28,29,30],"种业振兴","甘蔗","山地农业","蔗糖产业","绿色栽培",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"A6","cash-crops","棉麻糖与特色经作","\u002Ftopic\u002Ffield-crops\u002Fcash-crops","A",[],{"status":39,"locked":13,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,50,55],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":49},4,true,[],[27],[27],{"code":51,"score":21,"supported":13,"title":52,"abstract":53,"tags":54},"F1",[],[],[26],{"code":56,"score":21,"supported":13,"title":57,"abstract":58,"tags":59},"H8",[],[],[30],[61,62],"云南农科院 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**一、活动主题**\n\n“蔗”里良种出好糖—资源助丰收 实干促振兴\n\n## **二、活动时间**\n\n2026年9月23日\n\n上午场：8:30-10:30\n\n下午场：14:30-17:00\n\n## **三、活动地点**\n\n云南省开远市灵泉东路 363号 云南省农业科学院甘蔗研究所\n\n核心体验区域：专题科普讲座会议室、国家甘蔗种质资源圃、育种创新基地、分子细胞实验室、蔗糖深加工及副产物综合利用实验室\n\n## **四、邀约对象**\n\n1.青少年群体：开远及周边中小学师生（重点邀约）；\n\n2.社会群体：市民家庭、农业科普爱好者；\n\n3.行业群体：种业企事业单位技术人员、甘蔗育种科研工作者、基层农技人员。\n\n## **五、活动内容**\n\n本次活动采用**专题讲座+导览参观+实物展示+科研演示+互动品鉴**的沉浸式科普模式，全程由一线科研人员现场讲解答疑。\n\n**1. 分层专题科普讲座**\n\n面向青少年开设趣味科普课堂，讲解甘蔗起源传播、种质资源保护、育种基础知识、良种赋能产业丰收等内容，以通俗语言解锁甘蔗种业科技奥秘；面向行业同仁开展专项交流，重点推介抗逆、抗病、高糖等优异甘蔗种质资源，分享种质性状数据与育种应用方向，搭建种质资源共享合作桥梁。\n\n**2. 全场景科研观摩体验**\n\n实地参观国家甘蔗种质资源圃，直观感受甘蔗种质资源多样性；走进育种创新基地，观摩实生苗群体、优质新品系及突破性主栽品种田间表现；走进科研实验室，近距离观看种质 DNA提取、分子细胞鉴定等科研实操过程；体验蔗糖深加工产品及副产物综合利用成果，参与产品品鉴互动。\n\n**3. 专属导览答疑服务**\n\n由研究所核心科研团队全程带队导览，针对种质保护、育种创新、产业应用等问题一对一答疑，普及种业科学知识，传播现代农业科技理念。\n\n## **六、参与须知**\n\n1. **公益免费参与**：本次活动全程免费，无任何参观、体验、品鉴费用；\n\n2. **实名预约报名**：活动实行实名制线上预约（微信扫描下发二维码），名额有限，报满即止，报名时间截止 2026年9月18日22:00，欢迎大家积极报名参与；\n\n![Image 1](https:\u002F\u002Fomo-oss-image.thefastimg.com\u002Fportal-saas\u002Fpg2024011918250367977\u002Fcms\u002Fimage\u002F1f6121a8-5f51-4d70-977f-cb5cf3854f67.png)\n\n3. **安全管理要求**：活动单场人数严控 50人以内，全天总人数不超过100人；学生团体须由教师全程带队，未成年人需监护人或带队老师全程监护；\n\n4. **现场纪律规范**：参观需遵从指定路线，严禁擅自采摘甘蔗植株、触碰科研设备及实验样品，遵守场地安全管理规定。\n\n## **七、****温馨提示**\n\n**1.关于活动：**本次活动为公益科普开放活动，采取自愿报名方式，报名截止后不再接受增补报名，请意向参与者提前完成报名登记。\n\n**2.关于安全：**活动期间请自觉服从工作人员安排，文明参与，切勿随意采摘花草、攀折果枝。\n\n**3.关于出行：**活动现场不提供停车位，请选择绿色出行。\n\n诚挚欢迎各界朋友踊跃预约、莅临参与，共赏蔗园丰收之美、共探种业创新之路！\n\n云南省农业科学院甘蔗研究所\n\n2026年9月11日","云南农科院甘蔗所 2026-09","2026-09-15T01:00:00Z",46,{"impact":79,"substance":12,"depth":79,"authority":19,"freshness":79,"relevant":21,"comment":80},8,"省级科研机构举办的公益科普开放日活动，内容以参观体验为主，缺乏政策条款或科研数据等实质增量，公共价值有限，适合作为地方活动简讯而非每日精选。",[82],{"name":75,"url":72},[26,27,84,85,86],"农业科普","种质资源","丰收节",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[89],{"code":51,"slug":90,"name":91,"path":92,"parent_code":93},"seed-industry","种业与品种管理","\u002Ftopic\u002Finputs-equipment\u002Fseed-industry","F",{"status":39,"locked":13,"version":40,"method":41,"evidence":95},{"candidates":96,"agricultural_evidence":46},[97,102,106],{"code":51,"score":98,"supported":46,"title":99,"abstract":100,"tags":101},13,[85],[85],[26,85],{"code":32,"score":19,"supported":46,"title":103,"abstract":104,"tags":105},[27],[27],[27],{"code":107,"score":45,"supported":46,"title":108,"abstract":109,"tags":110},"J4",[],[86],[86],[112,113],"农业科普 种业振兴 种质资源 丰收节","农业科普 种业振兴","农业科普种业振兴种质资源丰收节-2598","2026-09-16T00:03:49.576151Z",{"id":117,"title":118,"url":119,"summary":120,"summary_zh":8,"content":121,"source_name":122,"source_url":8,"published_at":123,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":124,"score_detail":125,"sources":129,"tags":131,"primary_topic":135,"secondary_topics":136,"classification":137,"search_phrases":148,"slug":151,"view_count":79,"doi":8,"paper":8,"created_at":152},168,"云蔗081609种植面积突破326万亩跃居全国第一——云南省农科院20余年攻关选育特高糖甘蔗新品种","https:\u002F\u002Fwww.yntw.com\u002F2026\u002F07\u002F38690.html","7月28日，'云蔗081609全国第一大甘蔗品种重大成果发布会'在昆明举行。由云南省农科院甘蔗研究所自主选育的'云蔗081609'年种植面积突破326万亩，跃居我国种植面积最大的甘蔗新品种。其峰值蔗糖分高达20.3%创下国际甘蔗品种糖分最高纪录，最高亩产可达15.28吨。云南甘蔗平均亩产从推广前3.6吨提升至5.4吨；甘蔗出糖率连续4年保持13%以上。","YNTW.COM 据云南省农业科学院消息，7月28日，“云蔗081609全国第一大甘蔗品种重大成果发布会”在云南昆明举行。来自会上消息，由云南省农业科学院甘蔗研究所自主选育的高产高糖新品种“云蔗081609”年种植面积突破326万亩，跃居成为我国种植面积最大的甘蔗新品种。\n\n“云蔗081609”峰值蔗糖分高达20.3%，创下国际甘蔗品种糖分最高纪录，最高亩产可达15.28吨。在国家糖料产业技术体系和云南省科技项目支持下，科研团队历经20余年攻关，从国内外引进405份优异种质，攻克了异质亲本“不易开花”“杂交花期不遇”两大世界性技术难题，首创集“家系选择、理想株型选择、高糖基因检测和抗性评价”于一体的异质复合抗逆高糖育种技术。“云蔗081609”于2018年获国家品种登记，实现了特高糖与特高产的双重协调改良。\n\n发布会上，云南省农业科学院甘蔗研究所进行“云蔗081609的选育及推广应用”和“第一大甘蔗新品种云蔗081609的产业贡献”主题分享。随着该品种大面积推广应用，云南甘蔗产业实现质的飞跃，云南省甘蔗平均亩产从推广前的3.6吨提升至5.4吨；甘蔗出糖率连续4年保持在13%以上，最高达13.39%，处于全球领先水平，推动云南成为全国蔗糖分和平均出糖率最高的省份。2025\u002F2026榨季，云南省甘蔗入榨量达2236.49万吨，产糖量达293.83万吨，吨糖耗蔗量比全国低10%，蔗糖成本降低8%以上。\n\n依托云南省农业科学院甘蔗研究所建成的国家甘蔗种质资源圃，收集保存了来自全球39个国家和地区的6属17种共计6800份珍贵种质。目前，云蔗1640、云蔗201、云蔗208等一批9月份蔗糖分达14.8%以上的特高糖品种正在加速繁育。\n\n云南省农业科学院副院长、国家糖料产业技术体系首席科学家张跃彬表示，“云蔗081609”已从云南省辐射推广至广西壮族自治区、广东省等国内主产蔗区，并走出国门在缅甸、老挝等东南亚国家落地生根。下一步，科研团队将继续深化“良种+良法+良机”配套技术，为乡村振兴、边疆民族地区发展和国家食糖供给安全提供科技支撑。（完）","云南省农业科学院 2026-07-28 \u002F 云南网","2026-07-28T00:00:00Z",89,{"impact":126,"substance":16,"depth":127,"authority":98,"freshness":67,"relevant":21,"comment":128},28,18,"重大农业科技突破，全国性影响，数据详实，信源权威，时效稍逊。",[130],{"name":122,"url":119},[26,27,132,133,134],"云南省农科院","云蔗081609","高糖品种",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":138},{"candidates":139,"agricultural_evidence":46},[140,144],{"code":32,"score":98,"supported":46,"title":141,"abstract":142,"tags":143},[27],[27],[133,27],{"code":51,"score":21,"supported":13,"title":145,"abstract":146,"tags":147},[],[],[26],[149,150],"云南省农科院 种业振兴 高糖品种 云蔗081609","云南省农科院 种业振兴","云南省农科院种业振兴高糖品种云蔗081609-168","2026-08-01T23:53:43.426289Z",{"id":154,"title":155,"url":156,"summary":157,"summary_zh":158,"content":8,"source_name":159,"source_url":156,"published_at":160,"category":161,"cover_url":8,"hotness":12,"is_selected":13,"score":162,"score_detail":163,"sources":167,"tags":169,"primary_topic":174,"secondary_topics":175,"classification":176,"search_phrases":197,"slug":200,"view_count":21,"doi":201,"paper":202,"created_at":220},5234,"A smart agriculture-oriented cross-attention multiscale CNN for sugarcane disease diagnosis","https:\u002F\u002Fdoi.org\u002F10.1080\u002F23080477.2026.2749739","Sugarcane leaf diseases can adversely affect crop health and yield, making timely disease identification important for smart agriculture. Manual inspection of leaf diseases is time-consuming and requires expert knowledge, particularly when large cultivation areas need to be monitored. To tackle this problem, this study proposes a Cross-Attention Multiscale Parallel Convolutional Neural Network for automatic classification of sugarcane leaf diseases. This framework comprises a Parallel Feature Extraction Stem, cross-attention mechanism, Dense Connection Blocks, and Inception Blocks to learn disease features at various spatial scales. The PFES extracts fine and broad disease patterns using parallel convolutional branches, while the cross-attention mechanism refines the extracted features by emphasizing disease-related information. The DCB supports feature propagation and reuse, and the IB further captures multi-scale feature representations. The proposed model was tested on two benchmark datasets of leaf diseases for sugarcane plants. The proposed framework obtained an accuracy (98.79%), precision (98.31%), recall (97.81%), specificity (98.60%), and F1-Score (98.05%). For assessing the classification accuracy and consistency of the framework, the comparative study, ablation studies, and five-fold cross-validation are carried out. The results show that CA-MPCNN provides accurate sugarcane leaf disease classification and can support automated disease diagnosis in smart agriculture applications.","甘蔗叶片病害会对作物健康与产量造成不利影响，因此及时识别病害对智慧农业具有重要意义。人工检查叶片病害耗时且需要专业知识，尤其是在需要监测大面积种植区域时。为解决该问题，本研究提出一种用于甘蔗叶片病害自动分类的交叉注意力多尺度并行卷积神经网络（Cross-Attention Multiscale Parallel Convolutional Neural Network）。该框架由并行特征提取主干（Parallel Feature Extraction Stem）、交叉注意力机制、密集连接块（Dense Connection Blocks）和Inception块组成，用于学习不同空间尺度上的病害特征。PFES通过并行卷积分支提取细粒度与广域病害模式，而交叉注意力机制通过强调病害相关信息对提取的特征进行细化。DCB支持特征传播与复用，IB进一步捕获多尺度特征表示。所提出的模型在两个甘蔗植株叶片病害基准数据集上进行了测试。该框架取得了准确率（98.79%）、精确率（98.31%）、召回率（97.81%）、特异性（98.60%）和F1分数（98.05%）。为评估该框架的分类准确性和一致性，开展了对比研究、消融研究和五折交叉验证。结果表明，CA-MPCNN能够实现准确的甘蔗叶片病害分类，并可支持智慧农业应用中的自动化病害诊断。","Smart Science","2026-10-17T00:00:00Z","论文",69,{"impact":19,"substance":164,"depth":18,"authority":19,"freshness":165,"relevant":21,"comment":166},20,9,"该研究提出一种面向甘蔗叶部病害自动分类的交叉注意力多尺度CNN，在两个基准数据集上准确率达98.79%，方法新颖、实验充分，但属于细分作物应用研究，产业影响有限，时效性强，值得进入每日精选。",[168],{"name":159,"url":156},[170,171,27,172,173],"智慧农业","农业人工智能","深度学习","病害诊断",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":177},{"candidates":178,"agricultural_evidence":46},[179,185,191],{"code":32,"score":180,"supported":46,"title":181,"abstract":183,"tags":184},15,[182],"sugarcane",[27,182],[27],{"code":186,"score":180,"supported":46,"title":187,"abstract":189,"tags":190},"I1",[188],"smart agriculture",[170,188],[170],{"code":192,"score":193,"supported":13,"title":194,"abstract":195,"tags":196},"I2",2,[],[],[171,172],[198,199],"甘蔗 叶部病害 智能诊断","CA-MPCNN 甘蔗 病害","甘蔗叶部病害智能诊断-5234","10.1080\u002F23080477.2026.2749739",{"doi":201,"openalex_id":203,"authors":204,"venue":159,"cited_by_count":211,"oa_url":8,"card":212,"direction":218,"ingested_from":219},"W7222832245",[205,207,209],{"name":206,"orcid":8},"Bala Subramanian Chokkalingam",{"name":208,"orcid":8},"Uvarani Meenrajan",{"name":210,"orcid":8},"Shanmugapriya Sankaran",0,{"tldr":213,"method":214,"finding":215,"direction":216,"opportunity":217},"提出交叉注意力多尺度并行CNN，实现甘蔗叶病自动分类。","并行卷积分支、交叉注意力、密集连接与Inception块，两个基准数据集验证。","模型准确率达98.79%，消融与五折交叉验证证明其有效稳定。","农业人工智能与决策模型","可探索田间复杂背景与轻量化部署，并扩展到多作物病害实时诊断。","智慧农业 \u002F 农业物联网","openalex","2026-10-18T23:30:07.777036Z",{"id":222,"title":223,"url":224,"summary":225,"summary_zh":8,"content":226,"source_name":227,"source_url":8,"published_at":228,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":162,"score_detail":229,"sources":231,"tags":233,"primary_topic":238,"secondary_topics":239,"classification":240,"search_phrases":263,"slug":266,"view_count":211,"doi":8,"paper":8,"created_at":267},5121,"淳安秋茧丰收 浙江省农科院「浙凤3号」抗血液型脓病雄蚕品种成果推介会举办","https:\u002F\u002Ftown.zjol.com.cn\u002Fczjsb\u002F202610\u002Ft20261015_31966797.shtml","淳安县今年秋茧全县共发放蚕种2630余张,收购鲜茧80吨左右。由浙江省农业科学院蚕桑与茶叶研究所主办、杭州千岛湖蚕种有限公司承办的优质抗病雄蚕品种「浙凤3号」成果推介现场会在淳安召开。「浙凤3号」是国内外首次利用抗病雌蚕无性克隆系与平衡致死系杂交育成的抗血液型脓病雄蚕品种,抗病性能突出,蚕种生产可省去雌雄鉴别工序,降低繁育用工成本。「浙凤3号」在淳安5个养蚕重点村完成引进与示范试验,健蛹率达98.95%,解舒率75.17%,干毛茧出丝率39.82%,洁净得分94.88分。","金秋十月，淳安县威坪、浪川等多个乡镇蚕农迎来第五季蚕茧（秋茧）丰收时。\n\n从淳安县农发集团茧丝绸公司了解到，今年秋茧全县共发放蚕种2630余张，收购鲜茧80吨左右，为蚕农再添一笔不错的收入。十月底，辛苦了一年的蚕农们将迎来今年最后一季（第六季）蚕茧收购。\n\n近年来，在“非粮化”整治导致桑园面积缩减的大背景下，淳安县持续深化“公司＋农户”合作模式，牢牢稳住蚕桑产业基本盘。同时，该县不断为产业注入科技动能，推广雄蚕品种占比接近80％，小蚕工厂化饲育、绿色防控等新技术全面应用，推动传统蚕桑产业快步向现代产业转型。\n\n![Image 1](https:\u002F\u002Fmeizi-zjol-1577-pub.zjol.com.cn\u002Fczjsb\u002F202610\u002F2110666142374928384_1280px.jpg)\n\n这不，这边刚忙乎完秋茧收购，那边由浙江省农业科学院蚕桑与茶叶研究所主办、杭州千岛湖蚕种有限公司承办的优质抗病雄蚕品种“浙凤3号”成果推介现场会日前也在淳安召开。\n\n来自省农科院、淳安县农业农村局、淳安县茧丝绸有限公司、蚕种繁育与推广单位的代表齐聚千岛湖，围绕“浙凤3号”品种大规模繁育技术要点、基层推广路径、配套饲育技术集成等问题深入交换意见，共同推进优质抗病雄蚕新品种示范推广，助力蚕农增收和蚕桑产业高质量发展。\n\n![Image 2](https:\u002F\u002Fmeizi-zjol-1577-pub.zjol.com.cn\u002Fczjsb\u002F202610\u002F2110666142374928386_1280px.jpg)\n\n据了解，“浙凤3号”是国内外首次利用抗病雌蚕无性克隆系与平衡致死系杂交育成的抗血液型脓病雄蚕品种。该品种最大亮点在于抗病性能突出，蚕种生产可省去雌雄鉴别工序，降低繁育用工成本，同时保留优良茧丝品质。\n\n此前，“浙凤3号”已在淳安5个养蚕重点村完成引进与示范试验，积累了丰富的生产饲养数据。经过多个乡镇农户对比试验，“浙凤3号”健蛹率达98.95%，高于对照品种；张种产量、张种产值均实现小幅提升。茧丝指标上，解舒率75.17%、干毛茧出丝率39.82%，优于对照，洁净得分94.88分，达到缫制高品位生丝的品质标准，兼顾蚕农生产效益与丝厂加工需求。","浙江日报 潮新闻 城镇网 2026 年 10 月 15 日","2026-10-15T00:00:00Z",{"impact":18,"substance":164,"depth":180,"authority":12,"freshness":79,"relevant":21,"comment":230},"省级科研机构新品种成果推介，含健蛹率、出丝率等实测数据与推广路径，属细分行业实质进展，值得进入每日精选。",[232],{"name":227,"url":224},[26,234,235,236,237],"院地合作","蚕桑产业","抗病品种","雄蚕品种",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":241},{"candidates":242,"agricultural_evidence":46},[243,248,254,258],{"code":32,"score":45,"supported":46,"title":244,"abstract":245,"tags":247},[],[246],"蚕桑",[235],{"code":249,"score":64,"supported":46,"title":250,"abstract":251,"tags":253},"B3",[],[252],"茶叶",[],{"code":51,"score":21,"supported":13,"title":255,"abstract":256,"tags":257},[],[],[26],{"code":259,"score":21,"supported":13,"title":260,"abstract":261,"tags":262},"G1",[],[],[234],[264,265],"浙凤3号 雄蚕 淳安","浙江省农科院 蚕桑 抗病品种","浙凤3号雄蚕淳安-5121","2026-10-17T00:13:40.062002Z",{"id":269,"title":270,"url":271,"summary":272,"summary_zh":8,"content":8,"source_name":273,"source_url":8,"published_at":274,"category":161,"cover_url":8,"hotness":12,"is_selected":13,"score":162,"score_detail":275,"sources":279,"tags":281,"primary_topic":284,"secondary_topics":285,"classification":286,"search_phrases":301,"slug":304,"view_count":21,"doi":8,"paper":305,"created_at":313},4965,"Uncertainty-Aware Semi-Supervised Framework with Supervised Contrastive Learning for Sugarcane Leaf Disease Detection [预印本]","https:\u002F\u002Farxiv.org\u002Fabs\u002F2610.17996","Shalini Dangi等提出基于Mean-Teacher半监督学习的不确定性感知病害检测网络U-SSDNet,用于甘蔗叶病检测。论文针对(i)同一病害在不同生育期表现差异大,(ii)病健组织类间相似,(iii)标签噪声等问题,先以离散小波变换增强病斑并降低类内差异,再用KL散度优化伪标签减轻确认偏差,同时引入监督对比学习提升类间区分度。甘蔗叶病数据集上的实验显示,U-SSDNet仅需少量标注即可接近全监督模型精度,显著优于当前主流监督与半监督方法。","arXiv 2610.17996 2026 年 10 月 13 日","2026-10-13T00:00:00Z",{"impact":19,"substance":164,"depth":276,"authority":277,"freshness":165,"relevant":21,"comment":278},17,11,"预印本提出不确定性感知半监督框架，方法新颖且少标注下接近全监督精度，对作物病害智能识别有参考价值，但尚属实验室阶段成果。",[280],{"name":273,"url":271},[170,171,27,282,283],"病害检测","半监督学习",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":287},{"candidates":288,"agricultural_evidence":46},[289,293,297],{"code":32,"score":19,"supported":46,"title":290,"abstract":291,"tags":292},[182],[27],[27],{"code":186,"score":21,"supported":13,"title":294,"abstract":295,"tags":296},[],[],[170],{"code":192,"score":21,"supported":13,"title":298,"abstract":299,"tags":300},[],[],[171],[302,303],"甘蔗叶病 检测 半监督学习","U-SSDNet 甘蔗","甘蔗叶病检测半监督学习-4965",{"doi":8,"openalex_id":8,"authors":306,"venue":8,"cited_by_count":211,"oa_url":8,"card":307,"direction":216,"ingested_from":312},[],{"tldr":308,"method":309,"finding":310,"direction":216,"opportunity":311},"提出半监督不确定性感知网络U-SSDNet，用少量标注实现甘蔗叶病高精度检测。","Mean-Teacher半监督、离散小波变换、KL散度伪标签优化、监督对比学习。","仅需少量标注即接近全监督精度，显著优于主流监督与半监督方法。","可将该不确定性半监督框架迁移至其他作物病害，并探索田间复杂光照与多生育期泛化。","agent","2026-10-15T00:06:08.498104Z",{"id":315,"title":316,"url":317,"summary":318,"summary_zh":8,"content":319,"source_name":320,"source_url":8,"published_at":274,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":321,"score_detail":322,"sources":324,"tags":326,"primary_topic":331,"secondary_topics":332,"classification":333,"search_phrases":340,"slug":343,"view_count":211,"doi":8,"paper":8,"created_at":344},4956,"云南省重点研发计划'山地甘蔗收获机械装备研发与应用示范'等两大项目启动实施","https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902","10月11日,云南省重点研发计划'山地甘蔗收获机械装备研发与应用示范'、重大科技专项'制糖副产物高值化关键技术研发及应用'项目正式启动实施。云南是全国第二大产糖省份,蔗糖产业是滇南地区带动蔗农增收的支柱特色产业。两项目由云南省农科院甘蔗研究所牵头,将围绕云南山地蔗区生产需求,研发适配性强的中小型山地甘蔗收获装备,聚焦蔗渣、糖蜜、滤泥等制糖副产物,攻关绿色提取、高值转化关键技术。","X\n\n[](http:\u002F\u002Fwww.sohu.com\u002F)\n\n[新闻](http:\u002F\u002Fnews.sohu.com\u002F)\n\n[体育](http:\u002F\u002Fsports.sohu.com\u002F)\n\n[汽车](http:\u002F\u002Fauto.sohu.com\u002F)\n\n[房产](http:\u002F\u002Fwww.focus.cn\u002F)\n\n[旅游](http:\u002F\u002Ftravel.sohu.com\u002F)\n\n[教育](http:\u002F\u002Flearning.sohu.com\u002F)\n\n[时尚](http:\u002F\u002Ffashion.sohu.com\u002F)\n\n[科技](http:\u002F\u002Fit.sohu.com\u002F)\n\n[财经](http:\u002F\u002Fbusiness.sohu.com\u002F)\n\n[娱乐](http:\u002F\u002Fyule.sohu.com\u002F)\n\n[母婴](http:\u002F\u002Fbaobao.sohu.com\u002F)\n\n[健康](https:\u002F\u002Fhealthnews.sohu.com\u002F)\n\n[历史](http:\u002F\u002Fhistory.sohu.com\u002F)\n\n[军事](http:\u002F\u002Fmil.sohu.com\u002F)\n\n[美食](http:\u002F\u002Fchihe.sohu.com\u002F)\n\n更多\n\n[文化](http:\u002F\u002Fcul.sohu.com\u002F)[星座](http:\u002F\u002Fastro.sohu.com\u002F)[专题](https:\u002F\u002Fwww.sohu.com\u002Fxchannel\u002FTURBd01EQXhPVGt5)[游戏](http:\u002F\u002Fgame.sohu.com\u002F)[搞笑](http:\u002F\u002Ffun.sohu.com\u002F)[动漫](http:\u002F\u002Facg.sohu.com\u002F)[宠物](http:\u002F\u002Fpets.sohu.com\u002F)\n\n[新闻](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[体育](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[汽车](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[房产](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[旅游](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[教育](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[时尚](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[科技](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[财经](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[娱乐](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[母婴](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[健康](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[历史](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[军事](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[美食](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[文化](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[星座](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[专题](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[游戏](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[搞笑](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[动漫](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n[宠物](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902)\n\n更多\n\n无障碍 关怀版\n\n登录\n\n# 云南两大蔗糖产业重点项目启动实施\n\n2026-10-13 15:21 来源: [云贵高原生活指南](https:\u002F\u002Fwww.sohu.com\u002F?spm=smpc.content-abroad.content.1.1792023029867vmvivAi)\n\n![Image 2](https:\u002F\u002Fstatics.itc.cn\u002Fmptc-mpfe\u002Fimg\u002Farticle\u002Ficon_Wechat.png)\n\n[![Image 3](https:\u002F\u002Fstatics.itc.cn\u002Fmptc-mpfe\u002Fimg\u002Farticle\u002Ficon_Weibo.png)](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=https%3A%2F%2Fwww.sohu.com%2Fa%2F1087203879_121106902&title=%E4%BA%91%E5%8D%97%E4%B8%A4%E5%A4%A7%E8%94%97%E7%B3%96%E4%BA%A7%E4%B8%9A%E9%87%8D%E7%82%B9%E9%A1%B9%E7%9B%AE%E5%90%AF%E5%8A%A8%E5%AE%9E%E6%96%BD_%E7%94%98%E8%94%97_%E5%88%B6%E7%B3%96_%E6%94%B6%E8%8E%B7&searchPic=true&pic=https:\u002F\u002Fq8.itc.cn\u002Fq_70\u002Fimages03\u002F20261013\u002Fcc9356bd239641139bf9650ce7db0206.jpeg&appkey=2890110694)[![Image 4](https:\u002F\u002Fstatics.itc.cn\u002Fmptc-mpfe\u002Fimg\u002Farticle\u002Ficon_Space.png)](http:\u002F\u002Fsns.qzone.qq.com\u002Fcgi-bin\u002Fqzshare\u002Fcgi_qzshare_onekey?url=https%3A%2F%2Fwww.sohu.com%2Fa%2F1087203879_121106902)\n\n![Image 5](https:\u002F\u002Fstatics.itc.cn\u002Fmptc-mpfe\u002Fimg\u002Farticle\u002Ficon_Link.png)\n\n链接复制成功\n\n发布于：北京市\n\n10月11日，云南省重点研发计划“山地甘蔗收获机械装备研发与应用示范”、重大科技专项“制糖副产物高值化关键技术研发及应用”项目正式启动实施。\n\n![Image 6: 文章配图-1](https:\u002F\u002Fq8.itc.cn\u002Fq_70\u002Fimages03\u002F20261013\u002Fcc9356bd239641139bf9650ce7db0206.jpeg)\n\n云南是全国第二大产糖省份，近十个榨季云南产糖量平均占全国食糖总产量的20.87%。蔗糖产业是滇南地区带动蔗农增收、助力乡村振兴的支柱特色产业。当前云南蔗糖产业发展面临两大突出瓶颈：一是全省八成以上的甘蔗种植在旱坡地上，地块零散、地形复杂，通用大型收获机械无法适配，甘蔗收获仍以人工为主，生产成本高、采收效率低，严重制约产业整体竞争力；二是制糖副产物多停留在低附加值利用阶段，产业链短、增值空间有限，资源优势未能充分转化为经济优势。此次自上而下及省级层面立项布局两大项目，旨在瞄准产业痛点集中攻关，为蔗糖产业高质量发展破解技术“卡脖子”问题。\n\n据介绍，“山地甘蔗收获机械装备研发与应用示范”项目将围绕云南山地蔗区生产需求，研发适配性强的中小型山地甘蔗收获装备，建立机械化收获技术标准并开展大面积应用示范，助力降低甘蔗生产收种成本，提升产业生产效率。“制糖副产物高值化关键技术研发及应用”项目将聚焦蔗渣、糖蜜、滤泥等制糖副产物，攻关绿色提取、高值转化关键技术，开发系列高附加值产品，延伸蔗糖产业链，提升产业整体效益。\n\n项目牵头单位云南省农业科学院甘蔗研究所相关负责人表示，将严格落实项目管理要求，全力攻克关键核心技术，加快成果转化示范，为推动云南蔗糖产业转型升级、筑牢国家食糖供给安全屏障提供坚实科技支撑。\n\n云南日报-云新闻记者：陈云芬\n\n深入探索\n\n预订体育场地\n\n比较影音设备\n\n订阅电视会员\n\n通讯员：王智能\n\n编辑：丁星亦\n\n公众号审核：杨 娜\n\n公众号编辑：杨月晗[返回搜狐，查看更多](https:\u002F\u002Fwww.sohu.com\u002F?strategyid=00001&spm=smpc.content-abroad.content.2.1792023029867vmvivAi \"点击进入搜狐首页\")\n\n_首赞_\n\n+1\n\n点赞失败\n\n阅读 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乔虎子头像](https:\u002F\u002Fq9.itc.cn\u002Fc_lfill,w_40,h_40,g_face\u002Fimages03\u002F20251215\u002F22071e1f7fb44865b5e9fab1b1a01c51.jpeg)](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=OWY3ZmZjNzgtZDM2Yi00ZDhhLWFiMTUtYzE5NzZjZGEwNWUz&spm=smpc.content-abroad.fd-d.6.1792023029867vmvivAi)[乔虎子](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=OWY3ZmZjNzgtZDM2Yi00ZDhhLWFiMTUtYzE5NzZjZGEwNWUz&spm=smpc.content-abroad.fd-d.6.1792023029867vmvivAi)·09-30 21:10[1](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1082669803_121825481?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.6.1792023029867vmvivAi#comment_area)\n\n[![Image 18: 文章配图-82](https:\u002F\u002Fstatics.itc.cn\u002Fweb\u002Fstatic\u002Fimages\u002Fpic\u002Fpreload.png)](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087435761_122615833?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.7.1792023029867vmvivAi)\n\n# 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文章配图-82](https:\u002F\u002Fstatics.itc.cn\u002Fweb\u002Fstatic\u002Fimages\u002Fpic\u002Fpreload.png)](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086880123_122636995?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.8.1792023029867vmvivAi)\n\n# [退休后存了680万，女儿问我存款，我说只有120万，第四天女婿过来给了我一张卡：爸，欠...](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086880123_122636995?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.8.1792023029867vmvivAi)\n\n[![Image 21: 发发情感故事坊头像](https:\u002F\u002Fq9.itc.cn\u002Fc_lfill,w_40,h_40,g_face\u002Fimages03\u002F20260207\u002F3fa74f39f3d6496fa8a866410c3b8b9e.png)](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=NjcwMmNiYjgtMDllNS00NjJkLWJmOTgtMThkY2E0MmMxZTUy&spm=smpc.content-abroad.fd-d.8.1792023029867vmvivAi)[发发情感故事坊](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=NjcwMmNiYjgtMDllNS00NjJkLWJmOTgtMThkY2E0MmMxZTUy&spm=smpc.content-abroad.fd-d.8.1792023029867vmvivAi)·10-12 15:05[7](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086880123_122636995?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.8.1792023029867vmvivAi#comment_area)\n\n[![Image 22: 文章配图-82](https:\u002F\u002Fstatics.itc.cn\u002Fweb\u002Fstatic\u002Fimages\u002Fpic\u002Fpreload.png)](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086981586_122509382?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.9.1792023029867vmvivAi)\n\n# [广西女子火车上睡觉的照片火了，网友：羡慕后排的大爷！](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086981586_122509382?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.9.1792023029867vmvivAi)\n\n[![Image 23: 搞笑的菜包子头像](https:\u002F\u002Fq1.itc.cn\u002Fc_lfill,w_40,h_40,g_face\u002Fimages03\u002F20250826\u002Fe380b57632f642878bd6ccdbd5110598.jpeg)](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=NDI2ZDk5MjEtZGRiNy00ZWRiLWFlMTQtMGMzNzdjMjY5MWVm&spm=smpc.content-abroad.fd-d.9.1792023029867vmvivAi)[搞笑的菜包子](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=NDI2ZDk5MjEtZGRiNy00ZWRiLWFlMTQtMGMzNzdjMjY5MWVm&spm=smpc.content-abroad.fd-d.9.1792023029867vmvivAi)·10-13 00:19[0](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086981586_122509382?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.9.1792023029867vmvivAi#comment_area)\n\n[![Image 24: 文章配图-82](https:\u002F\u002Fstatics.itc.cn\u002Fweb\u002Fstatic\u002Fimages\u002Fpic\u002Fpreload.png)](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1080574801_120020438?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.11.1792023029867vmvivAi)\n\n# [黄色网站为什么能让你免费观看，了解真相后，你还敢继续浏览吗](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1080574801_120020438?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.11.1792023029867vmvivAi)\n\n[![Image 25: 西鑫娱乐头像](https:\u002F\u002Fp6.itc.cn\u002Fc_lfill,w_40,h_40,g_face\u002Fimages03\u002F20230601\u002F16efb07e19b7466d9b2f5fd3bd4adc30.jpeg)](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=NGFiMDA1NWMtMThmZi00NThhLWFkZjItZGEyYzgwZDVkN2U4&spm=smpc.content-abroad.fd-d.11.1792023029867vmvivAi)[西鑫娱乐](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=NGFiMDA1NWMtMThmZi00NThhLWFkZjItZGEyYzgwZDVkN2U4&spm=smpc.content-abroad.fd-d.11.1792023029867vmvivAi)·09-24 13:38[0](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1080574801_120020438?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.11.1792023029867vmvivAi#comment_area)\n\n[![Image 26: 文章配图-82](https:\u002F\u002Fstatics.itc.cn\u002Fweb\u002Fstatic\u002Fimages\u002Fpic\u002Fpreload.png)](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086552168_122014422?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.12.1792023029867vmvivAi)\n\n# [余承东为何搞不定懂车帝？黑社会都懂这个道理](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086552168_122014422?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.12.1792023029867vmvivAi)\n\n[![Image 27: 新浪财经头像](https:\u002F\u002Fq9.itc.cn\u002Fc_lfill,w_40,h_40,g_face\u002Fimages03\u002F20240801\u002Fd3b810733621472dbd9b6aec36b7e92b.png)](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=ZTliZTM5ZTMtNzAzMi00OTgzLThiNWUtNmEzNmYzZTI3N2I5&spm=smpc.content-abroad.fd-d.12.1792023029867vmvivAi)[新浪财经](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=ZTliZTM5ZTMtNzAzMi00OTgzLThiNWUtNmEzNmYzZTI3N2I5&spm=smpc.content-abroad.fd-d.12.1792023029867vmvivAi)·10-12 01:36[193](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086552168_122014422?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.12.1792023029867vmvivAi#comment_area)\n\n[![Image 28: 文章配图-82](https:\u002F\u002Fstatics.itc.cn\u002Fweb\u002Fstatic\u002Fimages\u002Fpic\u002Fpreload.png)](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086797138_122496491?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.13.1792023029867vmvivAi)\n\n# [红军长征为啥留一大批干部死守苏区？扒开那串名字才懂：被留下的人，多半是毛主席早年...](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086797138_122496491?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.13.1792023029867vmvivAi)\n\n[![Image 29: 离笙深夜谈头像](https:\u002F\u002Fq5.itc.cn\u002Fc_lfill,w_40,h_40,g_face\u002Fimages03\u002F20250808\u002Ffa7bc917de05468dafe0f8a155a7d155.png)](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=MzY4MTBhNDktOThhOS00M2UxLTk5YTEtMzU3MmYwZGQwOGQx&spm=smpc.content-abroad.fd-d.13.1792023029867vmvivAi)[离笙深夜谈](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=MzY4MTBhNDktOThhOS00M2UxLTk5YTEtMzU3MmYwZGQwOGQx&spm=smpc.content-abroad.fd-d.13.1792023029867vmvivAi)·10-12 09:31[21](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086797138_122496491?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.13.1792023029867vmvivAi#comment_area)\n\n[![Image 30: 文章配图-82](https:\u002F\u002Fstatics.itc.cn\u002Fweb\u002Fstatic\u002Fimages\u002Fpic\u002Fpreload.png)](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086991760_122615833?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.14.1792023029867vmvivAi)\n\n# [1930年井冈山夜宴枪声：袁文才在宴会场内被击毙，王佐出逃死在河边，彭德怀晚年视之为...](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086991760_122615833?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.14.1792023029867vmvivAi)\n\n[![Image 31: 国际小表妹头像](https:\u002F\u002Fq4.itc.cn\u002Fc_lfill,w_40,h_40,g_face\u002Fimages03\u002F20260112\u002Fd519ae1b9f7b45debd18815908a6db2f.jpeg)](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=Zjc3MTQzMjQtZTExYS00YmZmLWFmNmUtNDliZTVmOTI3NjY4&spm=smpc.content-abroad.fd-d.14.1792023029867vmvivAi)[国际小表妹](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=Zjc3MTQzMjQtZTExYS00YmZmLWFmNmUtNDliZTVmOTI3NjY4&spm=smpc.content-abroad.fd-d.14.1792023029867vmvivAi)·10-13 00:28[3](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1086991760_122615833?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.14.1792023029867vmvivAi#comment_area)\n\n[![Image 32: 文章配图-82](https:\u002F\u002Fstatics.itc.cn\u002Fweb\u002Fstatic\u002Fimages\u002Fpic\u002Fpreload.png)](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1078896198_120020376?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.16.1792023029867vmvivAi)\n\n# [成人网站上的小姐姐，是如何被偷拍的？真相让人后背发凉](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1078896198_120020376?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.16.1792023029867vmvivAi)\n\n[![Image 33: 小布点娱乐头像](https:\u002F\u002Fp8.itc.cn\u002Fc_lfill,w_40,h_40,g_face\u002Fimages03\u002F20230601\u002Fac0e174af0ed4ea4b9f24d6236f79992.jpeg)](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=ZTU2NzI3ZmUtNjhhMC00Y2FmLWIzNjQtNmE2ZjM3N2Y0MDU1&spm=smpc.content-abroad.fd-d.16.1792023029867vmvivAi)[小布点娱乐](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=ZTU2NzI3ZmUtNjhhMC00Y2FmLWIzNjQtNmE2ZjM3N2Y0MDU1&spm=smpc.content-abroad.fd-d.16.1792023029867vmvivAi)·09-21 02:40[0](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1078896198_120020376?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.16.1792023029867vmvivAi#comment_area)\n\n[![Image 34: 文章配图-82](https:\u002F\u002Fstatics.itc.cn\u002Fweb\u002Fstatic\u002Fimages\u002Fpic\u002Fpreload.png)](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087424741_121433272?scm=10008.1479_13-1479_13-68_68.49","云南日报-云新闻 搜狐 2026 年 10 月 13 日",71,{"impact":164,"substance":127,"depth":180,"authority":12,"freshness":79,"relevant":21,"comment":323},"省级重点研发与重大专项落地，直击山地甘蔗机收与制糖副产物高值化两大产业痛点，具备行业参考价值。",[325],{"name":320,"url":317},[29,327,328,329,330],"制糖副产物","甘蔗机械化","丘陵山地农机","科技专项",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":334},{"candidates":335,"agricultural_evidence":46},[336],{"code":32,"score":277,"supported":46,"title":337,"abstract":338,"tags":339},[27],[27],[],[341,342],"云南省农科院 甘蔗所 山地甘蔗收获机械","制糖副产物 高值化 蔗渣 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