[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3257":3,"related-3257":61},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"search_phrases":32,"slug":35,"view_count":36,"doi":37,"paper":38,"created_at":60},3257,"Blueberry flow and mass estimation from harvester conveyor videos via foundation-model-assisted labeling and vision-based sensing","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compag.2026.112432","Despite rising labor costs and growing labor shortages, adoption of machine harvesting in fresh market blueberry production has been limited by issues such as high rates of bruising and the significant loss of fruits on the ground. Machine settings strongly affect fruit quality and harvesting performance, yet they are manually configured based on operator experience, with no real-time performance feedback. Towards addressing these limitations, this paper presents a sensing proof-of-concept for analyzing berry flow through the harvester by estimating the pixel-wise proportion of blue vs green berries and volumetric flow rate from overhead RGB-D images of the harvester’s conveyor. An automated labeling pipeline combining a domain-specific YOLOv8 patch detector with SAM2-based mask generation was developed to generate a realistic large-scale berry dataset from unlabeled images captured during commercial over-the-row blueberry harvesting operations. Compared to a baseline SegFormer model trained on a smaller dataset of manually annotated images, our fine-tuned SegFormer – trained and validated on the large-scale automatically generated dataset – achieves superior performance, with green berry IoU improving from 0.377 to 0.817 and recall increasing from 0.414 to 0.911. A scene-level YOLOv8-l detection model trained and evaluated on the same dataset achieves mAP(50-95) of 0.966 and 0.898 for blue and green berries, respectively. Both models’ performance is further confirmed by an independent evaluation on a manually annotated subset of the validation images. We also compared two approaches for predicting harvest yields across five machine-setting trials: a depth-based method using the RGB-D sensor and a detection-based method using only RGB images, achieving R 2 = 0.989 and R 2 = 0.894 , respectively, against ground-truth load cell measurements from these trials. To support future research, we publicly release our datasets and models.","尽管劳动力成本上升且劳动力短缺日益加剧，但鲜食蓝莓生产中机器采收的采用仍受到果实瘀伤率高和落地果实损失严重等问题的限制。机器设置对果实品质和采收性能有很大影响，但目前仍依赖操作人员经验进行手动配置，且没有实时性能反馈。针对这些局限，本文提出了一种传感概念验证方法，通过估计采收机传送带上方RGB-D图像中蓝莓与绿果的逐像素比例以及体积流量，来分析通过采收机的果实流。我们开发了一种自动标注流程，将领域特定的YOLOv8小块检测器与基于SAM2的掩膜生成相结合，从商业跨行蓝莓采收作业期间采集的无标注图像中生成逼真的大规模蓝莓数据集。与在较小规模人工标注图像数据集上训练的基线SegFormer模型相比，我们经过微调的SegFormer——在大规模自动生成数据集上训练和验证——取得了更优性能，绿果IoU从0.377提升至0.817，召回率从0.414提升至0.911。在同一数据集上训练和评估的场景级YOLOv8-l检测模型，对蓝莓和绿果分别达到0.966和0.898的mAP(50-95)。两个模型的性能还通过在验证图像人工标注子集上的独立评估得到进一步确认。我们还比较了在五次机器设置试验中预测采收产量的两种方法：使用RGB-D传感器的基于深度的方法和使用仅RGB图像的基于检测的方法，相对于这些试验中来自称重传感器的真实测量值，分别达到R² = 0.989和R² = 0.894。为支持未来研究，我们公开了数据集和模型。",null,"Computers and Electronics in Agriculture","2026-09-22T00:00:00Z","论文",10,false,83,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},18,23,19,14,9,1,"该研究提出基于基础模型辅助标注与视觉传感的蓝莓流量与产量估计方法，方法新颖、数据规模大且公开数据集与模型，对智慧农业与农业机器人领域有较高参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"智慧农业","农业人工智能","农业机器人","机器视觉","蓝莓采收",[33,34],"蓝莓采收 机器视觉 产量估计","蓝莓收获机 传送带 视觉检测","蓝莓采收机器视觉产量估计-3257",0,"10.1016\u002Fj.compag.2026.112432",{"doi":37,"openalex_id":39,"authors":40,"venue":10,"cited_by_count":36,"oa_url":6,"card":53,"direction":57,"ingested_from":59},"W7214013690",[41,43,45,47,50],{"name":42,"orcid":9},"A. M. Aahad",{"name":44,"orcid":9},"Pico Sankari",{"name":46,"orcid":9},"Wei Q. Yang",{"name":48,"orcid":49},"Siniša Todorović","https:\u002F\u002Forcid.org\u002F0000-0001-5793-5921",{"name":51,"orcid":52},"Joseph R. Davidson","https:\u002F\u002Forcid.org\u002F0000-0003-4388-2210",{"tldr":54,"method":55,"finding":56,"direction":57,"opportunity":58},"用收割机传送带RGB-D视频估计蓝莓流量与质量，并公开数据集和模型。","YOLOv8+SAM2自动标注，SegFormer分割，RGB-D深度与检测法估","自动标注使绿果IoU从0.377升至0.817，深度法估产R²达0.989。","农业人工智能与决策模型","可延伸至收割机参数实时闭环调控，用视觉反馈优化机器设置以减损提质。","openalex","2026-09-23T23:30:01.713624Z",{"total":62,"page":22,"page_size":62,"items":63},6,[64,89,125,155,184,211],{"id":65,"title":66,"url":67,"summary":68,"summary_zh":9,"content":69,"source_name":70,"source_url":9,"published_at":71,"category":72,"cover_url":9,"hotness":13,"is_selected":14,"score":73,"score_detail":74,"sources":79,"tags":81,"search_phrases":84,"slug":87,"view_count":36,"doi":9,"paper":9,"created_at":88},3292,"AI巡田机器狗、采摘机器人、虫情监测仪！智慧农业装备亮相2026年中国农民丰收节山东主场活动","https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQwOTg2NA.html","在2026年中国农民丰收节山东主场活动现场，一批智慧农业新装备集中亮相：巡田机器狗替代人工开展田间作业，搭载多光谱、可见光相机与环境监测传感器，依托自研AI算法可精准完成病虫害识别、作物长势研判、土壤墒情监测；便携式一体虫情监测仪可灵活拆装，冬季无虫害时可拆卸收纳；地形移动作业机器人搭载机械臂，更换不同抓手就能实现果蔬采摘；管式墒情仪采用太阳能供电，直接插地即可投入使用。","![Image 1](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_logo.png)![Image 2](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_shandianxinwen.png)\n*   [头条](https:\u002F\u002Fsdxw.iqilu.com\u002F)\n*   [定位中](javascript:;)[济南](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002F101744.html?1&101744)![Image 3](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_bottom_sanjiao.png) \n\n*   [闪电号](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Fmparticle.html?2&0)\n\n*   [时政](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002F107857.html?3&107857)\n*   [纪录](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002F237919.html?4&237919)\n*   [视频](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002F101736.html?5&101736)\n\n*   [智库](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002F101817.html?6&101817)\n\n*   [热点](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002F107901.html?7&107901)\n\n*   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6](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Fshang.png)\n\n*   [闪电号>](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Fmp.html?2&0)\n*   [专栏>](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Fmp.html?2&0&%E4%B8%93%E6%A0%8F)\n*   [乡村季风农业家](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Fmpdetail\u002F100200.html?catid=100200)\n\n AI 巡田机器狗、采摘机器人、虫情监测仪！智慧农业装备亮相2026年中国农民丰收节山东主场活动 \n\n[乡村季风农业家](javascript:;)\n\n[2026-09-22 15:43:05](javascript:;)\n\n[Video 3](https:\u002F\u002Fstream7-transcode.iqilu.com\u002F10361\u002Fsucaiku\u002F202609\u002F22\u002Ff4534bc69de84c47b8bceeb954d0626c_902.mp4)\n在 2026年中国农民丰收节山东主场活动现场，一批智慧农业新装备集中亮相，为粮食稳产增产注入科技动能。\n\n巡田机器狗替代人工开展田间作业，搭载多光谱、可见光相机与环境监测传感器，依托自研 AI 算法，可精准完成病虫害识别、作物长势研判、土壤墒情监测；便携式一体虫情监测仪可灵活拆装，冬季无虫害时可拆卸收纳，有效降低设备运维成本；地形移动作业机器人搭载机械臂，更换不同抓手就能实现果蔬采摘；管式墒情仪采用太阳能供电，直接插地即可投入使用，工业级外壳坚固耐用，保障土壤数据精准采集。\n\n从前端田间感知、终端数据分析到后端作业执行，整套设备闭环联动，科学管控田间生产，助力减少农药化肥使用，实现农田提质增产。以科技赋能农耕，用装备守护耕耘，让智慧农业护航齐鲁大地岁岁丰收！\n\n《乡村季风》记者 郑莹莹 马成波\n\n来源： 乡村季风 \n\n编辑： 郑莹莹 \n\n责编： 梁丽 \n\n审校： 张洁 \n\n主编： 方翔 \n\n 相关推荐 \n\n[![Image 7](https:\u002F\u002Fimg12.iqilu.com\u002F1\u002Fextraction\u002F202609\u002F23\u002F86b0f4ade3b24b269f107f8e38e0e8ee-1.jpg)](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMjcyNw.html)\n\n[省水省肥还增产！丰收节解锁智慧种植新利器#智能水肥机#智慧农业#中国农民丰收节#农业黑科技#节水节肥#现代化种植](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMjcyNw.html)\n\n 分享到：\n\n[![Image 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10](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_qq.png)](https:\u002F\u002Fconnect.qq.com\u002Fwidget\u002Fshareqq\u002Findex.html?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMjcyNw.html&title=%E7%9C%81%E6%B0%B4%E7%9C%81%E8%82%A5%E8%BF%98%E5%A2%9E%E4%BA%A7%EF%BC%81%E4%B8%B0%E6%94%B6%E8%8A%82%E8%A7%A3%E9%94%81%E6%99%BA%E6%85%A7%E7%A7%8D%E6%A4%8D%E6%96%B0%E5%88%A9%E5%99%A8#%E6%99%BA%E8%83%BD%E6%B0%B4%E8%82%A5%E6%9C%BA#%E6%99%BA%E6%85%A7%E5%86%9C%E4%B8%9A#%E4%B8%AD%E5%9B%BD%E5%86%9C%E6%B0%91%E4%B8%B0%E6%94%B6%E8%8A%82#%E5%86%9C%E4%B8%9A%E9%BB%91%E7%A7%91%E6%8A%80#%E8%8A%82%E6%B0%B4%E8%8A%82%E8%82%A5#%E7%8E%B0%E4%BB%A3%E5%8C%96%E7%A7%8D%E6%A4%8D&source=&summary=%E6%9D%A5%E8%87%AA%E9%97%AA%E7%94%B5%E6%96%B0%E9%97%BB%E5%AE%A2%E6%88%B7%E7%AB%AF&desc=&pics=https:\u002F\u002Fimg12.iqilu.com\u002F1\u002Fextraction\u002F202609\u002F23\u002F86b0f4ade3b24b269f107f8e38e0e8ee-1.jpg)\n\n[![Image 11](https:\u002F\u002Fimg12.iqilu.com\u002F10361\u002Fsucaiku\u002Fcompress\u002F202609\u002F23\u002F6f4156f96c1747b6bdf4f46a222fba67.png)](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMjYyMg.html)\n\n[“迷你”农机硬核助农，专为山地丘陵打造#中国农民丰收节#农机展#农机#小型农机](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMjYyMg.html)\n\n 分享到：\n\n[![Image 12](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_weixin.png)](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMjYyMg.html&title=%E2%80%9C%E8%BF%B7%E4%BD%A0%E2%80%9D%E5%86%9C%E6%9C%BA%E7%A1%AC%E6%A0%B8%E5%8A%A9%E5%86%9C%EF%BC%8C%E4%B8%93%E4%B8%BA%E5%B1%B1%E5%9C%B0%E4%B8%98%E9%99%B5%E6%89%93%E9%80%A0#%E4%B8%AD%E5%9B%BD%E5%86%9C%E6%B0%91%E4%B8%B0%E6%94%B6%E8%8A%82#%E5%86%9C%E6%9C%BA%E5%B1%95#%E5%86%9C%E6%9C%BA#%E5%B0%8F%E5%9E%8B%E5%86%9C%E6%9C%BA&pic=&summary=%E6%9D%A5%E8%87%AA%E9%97%AA%E7%94%B5%E6%96%B0%E9%97%BB%E5%AE%A2%E6%88%B7%E7%AB%AF&appkey=#_loginLayer_1596177107797)[![Image 13](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_pengyou.png)](https:\u002F\u002Fsns.qzone.qq.com\u002Fcgi-bin\u002Fqzshare\u002Fcgi_qzshare_onekey?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMjYyMg.html&title=%E2%80%9C%E8%BF%B7%E4%BD%A0%E2%80%9D%E5%86%9C%E6%9C%BA%E7%A1%AC%E6%A0%B8%E5%8A%A9%E5%86%9C%EF%BC%8C%E4%B8%93%E4%B8%BA%E5%B1%B1%E5%9C%B0%E4%B8%98%E9%99%B5%E6%89%93%E9%80%A0#%E4%B8%AD%E5%9B%BD%E5%86%9C%E6%B0%91%E4%B8%B0%E6%94%B6%E8%8A%82#%E5%86%9C%E6%9C%BA%E5%B1%95#%E5%86%9C%E6%9C%BA#%E5%B0%8F%E5%9E%8B%E5%86%9C%E6%9C%BA&summary=%E6%9D%A5%E8%87%AA%E9%97%AA%E7%94%B5%E6%96%B0%E9%97%BB%E5%AE%A2%E6%88%B7%E7%AB%AF&desc=&site=)[![Image 14](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_qq.png)](https:\u002F\u002Fconnect.qq.com\u002Fwidget\u002Fshareqq\u002Findex.html?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMjYyMg.html&title=%E2%80%9C%E8%BF%B7%E4%BD%A0%E2%80%9D%E5%86%9C%E6%9C%BA%E7%A1%AC%E6%A0%B8%E5%8A%A9%E5%86%9C%EF%BC%8C%E4%B8%93%E4%B8%BA%E5%B1%B1%E5%9C%B0%E4%B8%98%E9%99%B5%E6%89%93%E9%80%A0#%E4%B8%AD%E5%9B%BD%E5%86%9C%E6%B0%91%E4%B8%B0%E6%94%B6%E8%8A%82#%E5%86%9C%E6%9C%BA%E5%B1%95#%E5%86%9C%E6%9C%BA#%E5%B0%8F%E5%9E%8B%E5%86%9C%E6%9C%BA&source=&summary=%E6%9D%A5%E8%87%AA%E9%97%AA%E7%94%B5%E6%96%B0%E9%97%BB%E5%AE%A2%E6%88%B7%E7%AB%AF&desc=&pics=https:\u002F\u002Fimg12.iqilu.com\u002F10361\u002Fsucaiku\u002Fcompress\u002F202609\u002F23\u002F6f4156f96c1747b6bdf4f46a222fba67.png)\n\n[![Image 15](https:\u002F\u002Fimg12.iqilu.com\u002F10361\u002Fsucaiku\u002Fcompress\u002F202609\u002F23\u002Faf5e6c9a65864a19a0fc6905e3584006.png)](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMjAzMg.html)\n\n[东阿阿胶牵头培育的“鲁西黑驴”获批国家畜禽新品种](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMjAzMg.html)\n\n 分享到：\n\n[![Image 16](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_weixin.png)](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMjAzMg.html&title=%E4%B8%9C%E9%98%BF%E9%98%BF%E8%83%B6%E7%89%B5%E5%A4%B4%E5%9F%B9%E8%82%B2%E7%9A%84%E2%80%9C%E9%B2%81%E8%A5%BF%E9%BB%91%E9%A9%B4%E2%80%9D%E8%8E%B7%E6%89%B9%E5%9B%BD%E5%AE%B6%E7%95%9C%E7%A6%BD%E6%96%B0%E5%93%81%E7%A7%8D&pic=&summary=%E6%9D%A5%E8%87%AA%E9%97%AA%E7%94%B5%E6%96%B0%E9%97%BB%E5%AE%A2%E6%88%B7%E7%AB%AF&appkey=#_loginLayer_1596177107797)[![Image 17](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_pengyou.png)](https:\u002F\u002Fsns.qzone.qq.com\u002Fcgi-bin\u002Fqzshare\u002Fcgi_qzshare_onekey?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMjAzMg.html&title=%E4%B8%9C%E9%98%BF%E9%98%BF%E8%83%B6%E7%89%B5%E5%A4%B4%E5%9F%B9%E8%82%B2%E7%9A%84%E2%80%9C%E9%B2%81%E8%A5%BF%E9%BB%91%E9%A9%B4%E2%80%9D%E8%8E%B7%E6%89%B9%E5%9B%BD%E5%AE%B6%E7%95%9C%E7%A6%BD%E6%96%B0%E5%93%81%E7%A7%8D&summary=%E6%9D%A5%E8%87%AA%E9%97%AA%E7%94%B5%E6%96%B0%E9%97%BB%E5%AE%A2%E6%88%B7%E7%AB%AF&desc=&site=)[![Image 18](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_qq.png)](https:\u002F\u002Fconnect.qq.com\u002Fwidget\u002Fshareqq\u002Findex.html?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMjAzMg.html&title=%E4%B8%9C%E9%98%BF%E9%98%BF%E8%83%B6%E7%89%B5%E5%A4%B4%E5%9F%B9%E8%82%B2%E7%9A%84%E2%80%9C%E9%B2%81%E8%A5%BF%E9%BB%91%E9%A9%B4%E2%80%9D%E8%8E%B7%E6%89%B9%E5%9B%BD%E5%AE%B6%E7%95%9C%E7%A6%BD%E6%96%B0%E5%93%81%E7%A7%8D&source=&summary=%E6%9D%A5%E8%87%AA%E9%97%AA%E7%94%B5%E6%96%B0%E9%97%BB%E5%AE%A2%E6%88%B7%E7%AB%AF&desc=&pics=https:\u002F\u002Fimg12.iqilu.com\u002F10361\u002Fsucaiku\u002Fcompress\u002F202609\u002F23\u002Faf5e6c9a65864a19a0fc6905e3584006.png)\n\n[![Image 19](https:\u002F\u002Fimg12.iqilu.com\u002F1\u002Fextraction\u002F202609\u002F23\u002F5046dad3db3047c58c60ff919b872503-1.jpg)](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTYwMA.html)\n\n[懒人的福音！加热5分钟就能喝的乌鸡人参汤](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTYwMA.html)\n\n 分享到：\n\n[![Image 20](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_weixin.png)](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTYwMA.html&title=%E6%87%92%E4%BA%BA%E7%9A%84%E7%A6%8F%E9%9F%B3%EF%BC%81%E5%8A%A0%E7%83%AD5%E5%88%86%E9%92%9F%E5%B0%B1%E8%83%BD%E5%96%9D%E7%9A%84%E4%B9%8C%E9%B8%A1%E4%BA%BA%E5%8F%82%E6%B1%A4&pic=&summary=%E6%9D%A5%E8%87%AA%E9%97%AA%E7%94%B5%E6%96%B0%E9%97%BB%E5%AE%A2%E6%88%B7%E7%AB%AF&appkey=#_loginLayer_1596177107797)[![Image 21](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_pengyou.png)](https:\u002F\u002Fsns.qzone.qq.com\u002Fcgi-bin\u002Fqzshare\u002Fcgi_qzshare_onekey?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTYwMA.html&title=%E6%87%92%E4%BA%BA%E7%9A%84%E7%A6%8F%E9%9F%B3%EF%BC%81%E5%8A%A0%E7%83%AD5%E5%88%86%E9%92%9F%E5%B0%B1%E8%83%BD%E5%96%9D%E7%9A%84%E4%B9%8C%E9%B8%A1%E4%BA%BA%E5%8F%82%E6%B1%A4&summary=%E6%9D%A5%E8%87%AA%E9%97%AA%E7%94%B5%E6%96%B0%E9%97%BB%E5%AE%A2%E6%88%B7%E7%AB%AF&desc=&site=)[![Image 22](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_qq.png)](https:\u002F\u002Fconnect.qq.com\u002Fwidget\u002Fshareqq\u002Findex.html?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTYwMA.html&title=%E6%87%92%E4%BA%BA%E7%9A%84%E7%A6%8F%E9%9F%B3%EF%BC%81%E5%8A%A0%E7%83%AD5%E5%88%86%E9%92%9F%E5%B0%B1%E8%83%BD%E5%96%9D%E7%9A%84%E4%B9%8C%E9%B8%A1%E4%BA%BA%E5%8F%82%E6%B1%A4&source=&summary=%E6%9D%A5%E8%87%AA%E9%97%AA%E7%94%B5%E6%96%B0%E9%97%BB%E5%AE%A2%E6%88%B7%E7%AB%AF&desc=&pics=https:\u002F\u002Fimg12.iqilu.com\u002F1\u002Fextraction\u002F202609\u002F23\u002F5046dad3db3047c58c60ff919b872503-1.jpg)\n\n[![Image 23](https:\u002F\u002Fimg12.iqilu.com\u002F1\u002Fextraction\u002F202609\u002F23\u002F4f3081202f01498bb2032b3cae283fa8-1.jpg)](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTM1NA.html)\n\n[“裙膜升地温”技术让葡萄避免冻害抽干 安全越冬](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTM1NA.html)\n\n 分享到：\n\n[![Image 24](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_weixin.png)](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTM1NA.html&title=%E2%80%9C%E8%A3%99%E8%86%9C%E5%8D%87%E5%9C%B0%E6%B8%A9%E2%80%9D%E6%8A%80%E6%9C%AF%E8%AE%A9%E8%91%A1%E8%90%84%E9%81%BF%E5%85%8D%E5%86%BB%E5%AE%B3%E6%8A%BD%E5%B9%B2)[![Image 25](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_pengyou.png)](https:\u002F\u002Fsns.qzone.qq.com\u002Fcgi-bin\u002Fqzshare\u002Fcgi_qzshare_onekey?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTM1NA.html&title=%E2%80%9C%E8%A3%99%E8%86%9C%E5%8D%87%E5%9C%B0%E6%B8%A9%E2%80%9D%E6%8A%80%E6%9C%AF%E8%AE%A9%E8%91%A1%E8%90%84%E9%81%BF%E5%85%8D%E5%86%BB%E5%AE%B3%E6%8A%BD%E5%B9%B2)[![Image 26](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_qq.png)](https:\u002F\u002Fconnect.qq.com\u002Fwidget\u002Fshareqq\u002Findex.html?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTM1NA.html&title=%E2%80%9C%E8%A3%99%E8%86%9C%E5%8D%87%E5%9C%B0%E6%B8%A9%E2%80%9D%E6%8A%80%E6%9C%AF%E8%AE%A9%E8%91%A1%E8%90%84%E9%81%BF%E5%85%8D%E5%86%BB%E5%AE%B3%E6%8A%BD%E5%B9%B2)\n\n[![Image 27](https:\u002F\u002Fimg12.iqilu.com\u002F1\u002Fextraction\u002F202609\u002F23\u002F8fc17233cf67410c8a323dc82a760247-1.jpg)](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTIyOA.html)\n\n[山东临沭 花生种植高手集结 共同见证“三只虎”大肥力#农科频道#“三只虎杯”中国花生王大赛](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTIyOA.html)\n\n 分享到：\n\n[![Image 28](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_weixin.png)](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTIyOA.html&title=%E5%B1%B1%E4%B8%9C%E4%B8%B4%E6%B2%AD)[![Image 29](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_pengyou.png)](https:\u002F\u002Fsns.qzone.qq.com\u002Fcgi-bin\u002Fqzshare\u002Fcgi_qzshare_onekey?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTIyOA.html&title=%E5%B1%B1%E4%B8%9C%E4%B8%B4%E6%B2%AD)[![Image 30](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_qq.png)](https:\u002F\u002Fconnect.qq.com\u002Fwidget\u002Fshareqq\u002Findex.html?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTIyOA.html&title=%E5%B1%B1%E4%B8%9C%E4%B8%B4%E6%B2%AD)\n\n[![Image 31](https:\u002F\u002Fimg12.iqilu.com\u002F1\u002Fextraction\u002F202609\u002F23\u002Fd208ef216fa84c629fdc4ff205f3ab5f-1.jpg)](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTIwNg.html)\n\n[安 大 特 美 山东畜牧业实力很顶！](https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTIwNg.html)\n\n 分享到：\n\n[![Image 32](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_weixin.png)](http:\u002F\u002Fservice.weibo.com\u002Fshare\u002Fshare.php?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTIwNg.html&title=%E5%AE%89)[![Image 33](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_pengyou.png)](https:\u002F\u002Fsns.qzone.qq.com\u002Fcgi-bin\u002Fqzshare\u002Fcgi_qzshare_onekey?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTIwNg.html&title=%E5%AE%89)[![Image 34](https:\u002F\u002Fsdxw.iqilu.com\u002Fsite\u002Flighting\u002Fimages\u002Ficon_qq.png)](https:\u002F\u002Fconnect.qq.com\u002Fwidget\u002Fshareqq\u002Findex.html?url=https:\u002F\u002Fsdxw.iqilu.com\u002Fw\u002Farticle\u002FYS0yMS0xNzQxMTIwNg.html&title=%E5%AE%89)\n\n![Image 35](http:\u002F\u002Fimg8.iqilu.com\u002Fksdimgs\u002F2020\u002F09\u002F01\u002F336460350286d031fcc6edc622cca778.jpg)\n\n | \n\n 闪电热榜 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42](https:\u002F\u002Fimg11.iqilu.com\u002F21\u002F2025\u002F12\u002F22\u002F98dd3ce409421c836719db34b19a3449.png)](https:\u002F\u002Fapp-h5.iqilu.com\u002Ftopic\u002FMTgyNTE6MWUyZWY.htm?orgid=21#\u002F)\n\n[](https:\u002F\u002Fapp-h5.iqilu.com\u002Ftopic\u002FMTgyNTE6MWUyZWY.htm?orgid=21#\u002F)[聆听金声力量！聚焦第三届“金声奖”获得者彭文馨](https:\u002F\u002Fapp-h5.iqilu.com\u002Ftopic\u002FMTgyNTE6MWUyZWY.htm?orgid=21#\u002F)\n\n[![Image 43](https:\u002F\u002Fimg11.iqilu.com\u002F21\u002F2025\u002F11\u002F25\u002F62","闪电新闻 2026年09月23日","2026-09-23T00:00:00Z","报道",59,{"impact":75,"substance":20,"depth":76,"authority":21,"freshness":77,"relevant":22,"comment":78},16,12,8,"省级丰收节上的智慧农业装备集中展示，涵盖巡田机器狗、采摘机器人、虫情监测仪等，具备一定行业参考价值，但属活动报道，信息增量有限。",[80],{"name":70,"url":67},[27,28,82,29,83],"山东","田间监测",[85,86],"中国农民丰收节 山东 智慧农业装备","巡田机器狗 采摘机器人 虫情监测仪","中国农民丰收节山东智慧农业装备-3292","2026-09-24T00:03:57.106255Z",{"id":90,"title":91,"url":92,"summary":93,"summary_zh":94,"content":9,"source_name":95,"source_url":92,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":96,"score_detail":97,"sources":100,"tags":102,"search_phrases":105,"slug":108,"view_count":36,"doi":109,"paper":110,"created_at":124},3284,"Computer vision-based size estimation module for selective harvesting of lettuce","https:\u002F\u002Fdoi.org\u002F10.14719\u002Fpst.14546","Selective harvesting of leafy vegetables remains a major challenge in agricultural automation, particularly for lettuce that meet predefined size or maturity criteria. Vision-based perception systems play a critical role in enabling selective harvesting by identifying plants that meet predefined size or maturity criteria. This study presents the development and validation of computer vision-based size estimation software designed to support selective harvesting decisions in leafy vegetable production. A C #-based image processing application was developed to perform red, green and blue (RGB) colour segmentation, contour detection and pixel-to-metric size estimation using images acquired from a standard Universal Serial Bus (USB) webcam. The system converts pixel measurements into real-world dimensions through calibrated scaling factors that account for variations in camera-to-plant distance. Field experiments were conducted using three commercial lettuce cultivars Romaine, Iceberg and Curly. Vision-based canopy width measurements showed strong agreement with manual measurements (N = 60) and exhibited very strong correlations with plant weight (Romaine type: r = 0.9803; Iceberg type: r = 0.9935; Curly type: r = 0.9707; p \u003C 0.001). Linear regression models achieved high predictive performance (R² = 0.942–0.987), while error metrics indicated low prediction errors (Mean absolute error (MAE): 5.62–8.64 g; root mean square error (RMSE): 7.30–11.06 g). Bland-Altman analysis further confirmed strong agreement between vision-based estimates and manual measurements. This study primarily validates a lightweight vision-based measurement algorithm intended for future integration into robotic harvesting systems. The results demonstrate that simple RGB-based image processing can provide reliable size estimation for selective harvesting decisions in leafy vegetable production systems.","叶菜类蔬菜的选择性收获仍是农业自动化领域的一项重大挑战，尤其是对符合预定大小或成熟度标准的生菜而言。基于视觉的感知系统通过识别符合预定大小或成熟度标准的植株，在实现选择性收获中发挥着关键作用。本研究介绍了一款基于计算机视觉的大小估算软件的开发与验证，该软件旨在为叶菜类蔬菜生产中的选择性收获决策提供支持。研究开发了一款基于C#的图像处理应用程序，利用标准通用串行总线（USB）网络摄像头采集的图像，执行红绿蓝（RGB）颜色分割、轮廓检测以及像素到实际尺寸的估算。该系统通过经过校准的缩放因子将像素测量值转换为实际尺寸，并考虑了摄像头与植株之间距离的变化。田间试验采用三个商业化生菜品种——罗马生菜、结球生菜和皱叶生菜。基于视觉的冠幅测量结果与人工测量结果高度一致（N = 60），并与植株重量呈现极强的相关性（罗马型：r = 0.9803；结球型：r = 0.9935；皱叶型：r = 0.9707；p \u003C 0.001）。线性回归模型取得了较高的预测性能（R² = 0.942–0.987），误差指标显示预测误差较低（平均绝对误差（MAE）：5.62–8.64 g；均方根误差（RMSE）：7.30–11.06 g）。Bland-Altman分析进一步证实了基于视觉的估算值与人工测量值之间的高度一致性。本研究主要验证了一种轻量级视觉测量算法，旨在未来集成到机器人收获系统中。结果表明，简单的基于RGB的图像处理能够为叶菜类蔬菜生产系统中的选择性收获决策提供可靠的大小估算。","Plant Science Today",69,{"impact":76,"substance":98,"depth":75,"authority":76,"freshness":21,"relevant":22,"comment":99},20,"该研究开发了基于RGB图像的轻量级生菜尺寸估计模块，与人工测量高度一致，为机器人选择性采收提供了可靠感知方案，具有较高的技术参考价值。",[101],{"name":95,"url":92},[27,28,103,30,104],"生菜","选择性采收",[106,107],"生菜 选择性采收 机器视觉","计算机视觉 生菜 尺寸估计","生菜选择性采收机器视觉-3284","10.14719\u002Fpst.14546",{"doi":109,"openalex_id":111,"authors":112,"venue":95,"cited_by_count":36,"oa_url":92,"card":119,"direction":57,"ingested_from":59},"W7214000589",[113,116],{"name":114,"orcid":115},"Erhan Kahya","https:\u002F\u002Forcid.org\u002F0000-0001-7768-9190",{"name":117,"orcid":118},"Fatma Funda Özdüven","https:\u002F\u002Forcid.org\u002F0000-0003-4286-8943",{"tldr":120,"method":121,"finding":122,"direction":57,"opportunity":123},"开发基于RGB图像处理的生菜尺寸估计软件，用于选择性采收决策。","C#图像处理，USB摄像头采集，RGB分割与轮廓检测，标定像素-实际尺寸转换。","视觉冠幅与重量强相关（r=0.97-0.99），回归模型R²达0.94-0.99，误差低。","可集成到机器人采收系统，并探索多品种、多光照条件下的鲁棒性及实时边缘部署。","2026-09-23T23:30:38.203393Z",{"id":126,"title":127,"url":128,"summary":129,"summary_zh":9,"content":9,"source_name":130,"source_url":9,"published_at":131,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":132,"score_detail":133,"sources":137,"tags":139,"search_phrases":142,"slug":145,"view_count":36,"doi":9,"paper":146,"created_at":154},3253,"Visuomotor Robotic Pruning in Planar Orchills Using Hybrid Reinforcement 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