[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4956":3,"related-4956":57},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":51,"slug":54,"view_count":55,"doi":8,"paper":8,"created_at":56},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。",null,"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 (_2887_)\n\n平台声明\n\n该文观点仅代表作者本人，搜狐号系信息发布平台，搜狐仅提供信息存储空间服务。\n\n[内容举报](https:\u002F\u002Fwww.sohu.com\u002Ffeedback?articleUrl=https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1087203879_121106902&pageType=report)\n\n[by Taboola](https:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=sohuchina-sohucom&utm_medium=referral&utm_content=thumbnails-a:Below%20article%20thumbnails:)[by Taboola](https:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=sohuchina-sohucom&utm_medium=referral&utm_content=thumbnails-a:Below%20article%20thumbnails:)\n\n[Sponsored Links](https:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=sohuchina-sohucom&utm_medium=referral&utm_content=thumbnails-a:Below%20article%20thumbnails:)[Sponsored Links](https:\u002F\u002Fpopup.taboola.com\u002Fen\u002F?template=colorbox&utm_source=sohuchina-sohucom&utm_medium=referral&utm_content=thumbnails-a:Below%20article%20thumbnails:)\n\n[Promoted 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臭卖娱的头像](https:\u002F\u002Fq3.itc.cn\u002Fc_lfill,w_40,h_40,g_face\u002Fimages03\u002F20250523\u002F7cdd37a569f34c19a5216ac0d0bcdd62.png)](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=ZjZmNjA1N2UtYjhhNS00MDZmLWJiNmItMDc4ZmFhNGU2Zjdj&spm=smpc.content-abroad.fd-d.2.1792023029867vmvivAi)[臭卖娱的](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=ZjZmNjA1N2UtYjhhNS00MDZmLWJiNmItMDc4ZmFhNGU2Zjdj&spm=smpc.content-abroad.fd-d.2.1792023029867vmvivAi)·10-05 09:30[355](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1084254037_122434959?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.2.1792023029867vmvivAi#comment_area)\n\n[![Image 12: 文章配图-82](https:\u002F\u002Fstatics.itc.cn\u002Fweb\u002Fstatic\u002Fimages\u002Fpic\u002Fpreload.png)](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1085831513_122745001?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.3.1792023029867vmvivAi)\n\n# [45岁仍拍三级片，败光两任亿万家产，62岁坦言后悔嫁给钟镇涛](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1085831513_122745001?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.3.1792023029867vmvivAi)\n\n[![Image 13: 雨中绽放头像](https:\u002F\u002Fq6.itc.cn\u002Fc_lfill,w_40,h_40,g_face\u002Fimages03\u002F20260424\u002F689d247e4a374da48bb7811bf8aab3f3.png)](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=NzQ2NTY0YzYtM2Y2Zi00YzRkLWE0ZTUtMTE0NDczMGI1NjYy&spm=smpc.content-abroad.fd-d.3.1792023029867vmvivAi)[雨中绽放](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=NzQ2NTY0YzYtM2Y2Zi00YzRkLWE0ZTUtMTE0NDczMGI1NjYy&spm=smpc.content-abroad.fd-d.3.1792023029867vmvivAi)·10-10 01:39[22](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1085831513_122745001?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.3.1792023029867vmvivAi#comment_area)\n\n[![Image 14: 文章配图-82](https:\u002F\u002Fstatics.itc.cn\u002Fweb\u002Fstatic\u002Fimages\u002Fpic\u002Fpreload.png)](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1080010282_100243004?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.4.1792023029867vmvivAi)\n\n# [辛芷蕾没遮副乳，全网吵翻天，网友们到底在吵什么？](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1080010282_100243004?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.4.1792023029867vmvivAi)\n\n[![Image 15: 郝评头像](https:\u002F\u002Fp3.itc.cn\u002Fc_lfill,w_40,h_40,g_face\u002Fimages03\u002F20231221\u002F81f79b9ccac243f68fd059dd12668255.jpeg)](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=MTAyNjI4NzExMjY5OTQ5NDQwMEBzb2h1LmNvbQ==&spm=smpc.content-abroad.fd-d.4.1792023029867vmvivAi)[郝评](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=MTAyNjI4NzExMjY5OTQ5NDQwMEBzb2h1LmNvbQ==&spm=smpc.content-abroad.fd-d.4.1792023029867vmvivAi)·09-26 01:18[51](https:\u002F\u002Fwww.sohu.com\u002Fa\u002F1080010282_100243004?scm=10008.1479_13-1479_13-68_68.4935001-0.0-1-0-0-0.0&spm=smpc.content-abroad.fd-d.4.1792023029867vmvivAi#comment_area)\n\n[![Image 16: 文章配图-82](https:\u002F\u002Fstatics.itc.cn\u002Fweb\u002Fstatic\u002Fimages\u002Fpic\u002Fpreload.png)](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)\n\n# [穿了和没穿一样！全透明、没一块布料，戚薇宋妍霏被指擦边](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)\n\n[![Image 17: 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# [斯大林下令调查朱可夫，在别墅搜出八十五箱德国宝贝；朱可夫没跪没怒，平静反问：需要...](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[![Image 19: 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.7.1792023029867vmvivAi)[国际小表妹](https:\u002F\u002Fmp.sohu.com\u002Fprofile?xpt=Zjc3MTQzMjQtZTExYS00YmZmLWFmNmUtNDliZTVmOTI3NjY4&spm=smpc.content-abroad.fd-d.7.1792023029867vmvivAi)·10-13 23:55[8](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#comment_area)\n\n[![Image 20: 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 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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",{"impact":72,"substance":17,"depth":71,"authority":72,"freshness":119,"relevant":21,"comment":281},"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。",[283],{"name":278,"url":275},[124,125,48,142,285],"病害诊断",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":289},{"candidates":290,"agricultural_evidence":46},[291,296,301],{"code":32,"score":19,"supported":46,"title":292,"abstract":294,"tags":295},[293],"sugarcane",[48,293],[48],{"code":153,"score":19,"supported":46,"title":297,"abstract":299,"tags":300},[298],"smart agriculture",[124,298],[124],{"code":132,"score":302,"supported":14,"title":303,"abstract":304,"tags":305},2,[],[],[125,142],[307,308],"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":310,"openalex_id":312,"authors":313,"venue":278,"cited_by_count":55,"oa_url":8,"card":320,"direction":326,"ingested_from":327},"W7222832245",[314,316,318],{"name":315,"orcid":8},"Bala Subramanian Chokkalingam",{"name":317,"orcid":8},"Uvarani Meenrajan",{"name":319,"orcid":8},"Shanmugapriya Sankaran",{"tldr":321,"method":322,"finding":323,"direction":324,"opportunity":325},"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":330,"title":331,"url":332,"summary":333,"summary_zh":334,"content":8,"source_name":335,"source_url":332,"published_at":279,"category":114,"cover_url":8,"hotness":13,"is_selected":14,"score":336,"score_detail":337,"sources":339,"tags":341,"primary_topic":345,"secondary_topics":346,"classification":347,"search_phrases":371,"slug":374,"view_count":21,"doi":375,"paper":376,"created_at":384},5233,"Cotton pest and disease multi-class classification with weather and temporal predictors features across Indian agroclimatic zones","https:\u002F\u002Fdoi.org\u002F10.25258\u002Fijddt.16.73s.45","The Pink Bollworm (Pectinophora gossypiella) remains one of the most destructive pests affecting cotton productivity, with infestation levels strongly driven by climatic fluctuations and crop phenology.This study presents a machine learning-based framework for early multi-classification and prediction of Pink Bollworm incidence using agro-meteorological variables.The dataset includes maximum and minimum air temperature, relative humidity, rainfall, sunshine hours, evaporation, and wind speed, all of which influence Pink Bollworm development, migration, and reproductive cycles.After preprocessing, applying cyclic encoding to temporal variables, and generating lagged climatic features, multiple machine learning algorithms-including SVM, Neural Networks, KNN, Regression models, Ensemble methods, and Naïve Bayes-were trained and systematically compared.SVM model demonstrated the best test accuracy, effectively capturing dynamic climate-pest interactions.The resulting MATLAB-based classification tool enables rapid assessment and supports climate-informed pest surveillance.A stratified 80:20 train-test split was employed, with 5-fold cross-validation on the training set for hyperparameter tuning, ensuring no data leakage between partitions.The validation and training accuracies of these models are 89.4% and 96 % respectively.Overall, the model offers a practical and interpretable solution for early detection of Pink Bollworm risk, thereby contributing to informed decision-making in integrated pest management (IPM) and precision agriculture.","棉红铃虫（Pectinophora gossypiella）仍是影响棉花产量最具破坏性的害虫之一，其发生程度受气候波动和作物物候的强烈驱动。本研究提出了一种基于机器学习的框架，利用农业气象变量对棉红铃虫的发生进行早期多分类与预测。数据集包括最高和最低气温、相对湿度、降雨量、日照时数、蒸发量和风速，这些因素均影响棉红铃虫的发育、迁移和繁殖周期。经过预处理、对时间变量应用循环编码并生成滞后气候特征后，训练并系统比较了多种机器学习算法，包括支持向量机（SVM）、神经网络、K近邻（KNN）、回归模型、集成方法和朴素贝叶斯。SVM模型表现出最佳的测试准确率，有效捕捉了气候与害虫之间的动态相互作用。所构建的基于MATLAB的分类工具可实现快速评估，并支持气候信息驱动的害虫监测。采用分层80：20的训练-测试划分，并在训练集上进行5折交叉验证以调优超参数，确保各分区之间无数据泄漏。这些模型的验证准确率和训练准确率分别为89.4%和96%。总体而言，该模型为棉红铃虫风险的早期检测提供了一种实用且可解释的解决方案，从而有助于综合害虫管理（IPM）和精准农业中的科学决策。","International Journal of Drug Delivery Technology",55,{"impact":20,"substance":18,"depth":186,"authority":58,"freshness":119,"relevant":21,"comment":338},"研究用多类机器学习模型结合气象与时序特征预测棉铃虫风险，方法扎实但属细分领域应用研究，信源期刊权威性一般，公共影响有限。",[340],{"name":335,"url":332},[124,342,148,343,344],"机器学习","农业气象","病虫害预警",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":348},{"candidates":349,"agricultural_evidence":46},[350,354,361,366],{"code":32,"score":19,"supported":46,"title":351,"abstract":352,"tags":353},[150],[148,150],[148],{"code":153,"score":355,"supported":46,"title":356,"abstract":357,"tags":360},7,[],[358,359],"精准农业","precision agriculture",[124],{"code":132,"score":355,"supported":46,"title":362,"abstract":363,"tags":365},[],[342,364],"machine learning",[342],{"code":367,"score":87,"supported":46,"title":368,"abstract":369,"tags":370},"H7",[],[343],[343],[372,373],"棉铃虫 机器学习 预测","棉花 病虫害 气象因子","棉铃虫机器学习预测-5233","10.25258\u002Fijddt.16.73s.45",{"doi":375,"openalex_id":377,"authors":378,"venue":335,"cited_by_count":55,"oa_url":332,"card":379,"direction":326,"ingested_from":327},"W7222826491",[],{"tldr":380,"method":381,"finding":382,"direction":324,"opportunity":383},"用农业气象变量与时间特征构建机器学习模型，实现印度棉区棉铃虫多级发生预测。","气象数据加周期编码与滞后特征，比较SVM等模型，5折交叉验证。","SVM测试精度最高达89.4%，能有效刻画气候与虫害动态关系。","可引入遥感植被指数与实时气象物联网数据，构建跨区域可迁移的病虫害预警系统。","2026-10-18T23:30:07.725427Z"]