[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3301":3,"related-3301":36},{"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":22,"tags":24,"search_phrases":30,"slug":33,"view_count":34,"doi":8,"paper":8,"created_at":35},3301,"莲都区107个水稻新品种集中亮相——2026年第四届浙西南水稻新品种数字化展示现场观摩会","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7688050911050007074","9月21日，2026年第四届浙西南水稻新品种数字化展示现场观摩会在莲都区碧湖镇白口村举行。参会嘉宾实地查看107个水稻新品种的长势特点、田间管理和产量等情况。今年观摩会所在的国家级分子育种创新服务平台(长三角)分中心片区，由华智种谷智创科技(浙江)有限公司提供技术支撑，构建了BT生物技术+DT大数据技术的技术体系：运用水稻液相芯片对参试品种开展功能基因图谱鉴定，依托DT大数据技术搭建数字化品种展示评价系统。农业专家团队综合考量茎秆粗壮度、穗粒结构、综合抗性等多项指标，推介出春丰优7号、春优83、春诚优887等15个品种。",null,"今日头条（莲都发布） 2026年09月22日","2026-09-21T18:04:00Z","报道",10,false,60,{"impact":16,"substance":17,"depth":16,"authority":18,"freshness":19,"relevant":20,"comment":21},14,18,6,8,1,"地市级观摩会，107个品种与BT+DT数字化评价体系有实质信息量，但影响层级与信源权威度有限，可作主题页聚合素材。",[23],{"name":9,"url":6},[25,26,27,28,29],"数字农业","智慧农业","种业振兴","分子育种","水稻新品种",[31,32],"浙西南 水稻新品种 观摩会","莲都 水稻液相芯片 数字化展示","浙西南水稻新品种观摩会-3301",0,"2026-09-24T00:03:59.270091Z",{"total":18,"page":20,"page_size":18,"items":37},[38,82,159,211,234,257],{"id":39,"title":40,"url":41,"summary":42,"summary_zh":43,"content":8,"source_name":44,"source_url":41,"published_at":45,"category":46,"cover_url":8,"hotness":12,"is_selected":13,"score":47,"score_detail":48,"sources":53,"tags":55,"search_phrases":59,"slug":62,"view_count":34,"doi":63,"paper":64,"created_at":81},3367,"Digital Technology Adoption Conditioning Analysis Model in Agriculture","https:\u002F\u002Fdoi.org\u002F10.20944\u002Fpreprints202609.1880.v1","Technological advancements have been responsible for a significant part of the growth in agricultural productivity in recent years. Digital technologies have a high potential to enable the development of the agricultural sector, reshape value chains, and significantly contribute to more productive, resilient, and transparent food systems; however, their adoption in Brazil remains uneven due to regional disparities and structural bottlenecks. The research investigated this problem to build and validate the Digital Technology Adoption Conditioning Analysis Model (MAC-AgriTech), through a case study with Brazilian agricultural data, encompassing the identification of conditioning factors, their territorial evaluation, and the proposition of actions, while providing structured data collection and analysis instruments. The spatial analysis revealed deep territorial asymmetries, concentrating resources and infrastructure in the South and Southeast regions. Econometric modeling demonstrated that digital adoption is primarily driven by the producer’s digital familiarity, connectivity quality, and property scale, with 77% of producers identifying acquisition and maintenance costs as the primary barrier. The transition to digital agriculture in Brazil requires targeted, multidimensional public policies—such as expanded rural connectivity, technical training, and subsidized credit—to overcome regional gaps, and to increase agricultural competitiveness, efficiency, and sustainability.","近年来，技术进步对农业生产力增长贡献显著。数字技术具有巨大潜力，能够推动农业部门发展、重塑价值链，并为构建更高产、更具韧性且更透明的粮食体系作出重要贡献；然而，由于区域差异和结构性瓶颈，其在巴西的采用仍不均衡。本研究针对这一问题，通过一项基于巴西农业数据的案例研究，构建并验证了数字技术采用条件分析模型（MAC-AgriTech），涵盖条件因素的识别、其区域性评估以及行动建议的提出，同时提供了结构化的数据收集与分析工具。空间分析揭示了深刻的区域不对称性，资源和基础设施集中在南部和东南部地区。计量经济建模表明，数字采用主要受生产者数字熟悉度、连接质量和财产规模的驱动，其中77%的生产者将购置和维护成本视为主要障碍。巴西向数字农业的转型需要有针对性的、多维度的公共政策——如扩大农村连接、技术培训和补贴信贷——以克服区域差距，并提高农业竞争力、效率和可持续性。","Preprints.org","2026-09-22T00:00:00Z","论文",67,{"impact":49,"substance":50,"depth":51,"authority":18,"freshness":19,"relevant":20,"comment":52},16,20,17,"基于巴西农业数据的数字技术采纳条件分析模型研究，方法系统、结论有实证支撑，但属预印本且聚焦巴西，对国内参考价值有限。",[54],{"name":44,"url":41},[25,26,56,57,58],"农业人工智能","巴西农业","农村数字化",[60,61],"巴西 数字农业 技术采纳","MAC-AgriTech 模型","巴西数字农业技术采纳-3367","10.20944\u002Fpreprints202609.1880.v1",{"doi":63,"openalex_id":65,"authors":66,"venue":44,"cited_by_count":34,"oa_url":41,"card":74,"direction":78,"ingested_from":80},"W7214109425",[67,70,72],{"name":68,"orcid":69},"Isabela Santos","https:\u002F\u002Forcid.org\u002F0009-0002-3659-2020",{"name":71,"orcid":8},"Eduardo Dias",{"name":73,"orcid":8},"Lidia Scoton",{"tldr":75,"method":76,"finding":77,"direction":78,"opportunity":79},"构建并验证MAC-AgriTech模型，分析巴西农业数字技术采纳的条件因素与区域差异。","巴西农业数据案例研究，空间分析与计量经济建模。","采纳主要由数字熟悉度、连接质量和农场规模驱动，77%生产者视成本为首要障碍。","数字乡村与农业信息化","可延伸至中国等发展中国家，探究数字素养、基础设施与政策组合对技术采纳的因果效应。","openalex","2026-09-24T23:30:27.046035Z",{"id":83,"title":84,"url":85,"summary":86,"summary_zh":87,"content":8,"source_name":88,"source_url":85,"published_at":89,"category":46,"cover_url":8,"hotness":12,"is_selected":13,"score":90,"score_detail":91,"sources":95,"tags":97,"search_phrases":102,"slug":105,"view_count":34,"doi":106,"paper":107,"created_at":158},3351,"Integrated Land, Soil and Crop Information Systems in Ethiopia, Kenya, and Rwanda: Institutional Readiness and Implications for Climate-Smart Agriculture","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fland15101776","Integrated land–soil–crop information systems are increasingly important for supporting climate-smart agricultural planning and implementation, yet their development in Eastern Africa is constrained by fragmented mandates, weak technical capacity, and limited data interoperability. This study assesses how institutional readiness, user demand, and technical and human-capacity conditions shape the integration of such systems into national Agricultural Knowledge and Innovation Systems (AKIS). A mixed-methods, multi-country assessment was conducted in Ethiopia, Kenya, and Rwanda (2022–2024), drawing on 145 semi-structured key-informant interviews, stakeholder mapping, national workshops, and a regional synthesis consultation. The analysis addressed three objectives: (i) diagnose institutional readiness and user demand; (ii) assess technical, infrastructural, and human-capacity requirements; and (iii) identify governance and design principles for embedding integrated information systems within AKIS and Climate-Smart Agriculture (CSA) strategies. The results show consistently high demand for spatially explicit soil and crop data but persistent fragmentation of mandates, uneven coordination, and substantial subnational capacity gaps. Despite these constraints, emerging digital-agriculture strategies, open-data policies, and regional soil-health initiatives provide potential entry points for integration. The study offers a comparative evidence base and design principles—covering governance, interoperability standards, co-production processes, and capacity strengthening—needed to transition from project-driven fragmentation toward interoperable and sustainable information systems. These findings provide diagnostic and design-oriented insights for national and regional efforts to strengthen agricultural information systems that support CSA implementation in Eastern Africa.","综合的土地—土壤—作物信息系统在支持气候智慧型农业规划与实施方面日益重要，但其在东非的发展受到职责分散、技术能力薄弱和数据互操作性有限的制约。本研究评估了制度准备度、用户需求以及技术和人力能力条件如何影响此类系统融入国家农业知识与创新系统（AKIS）。研究于2022—2024年在埃塞俄比亚、肯尼亚和卢旺达开展了混合方法、多国评估，基于145次半结构化关键知情人访谈、利益相关方映射、国家研讨会以及一次区域综合磋商。分析围绕三个目标展开：（i）诊断制度准备度和用户需求；（ii）评估技术、基础设施和人力能力需求；（iii）确定将综合信息系统嵌入AKIS和气候智慧型农业（CSA）战略的治理与设计原则。结果表明，对空间显式土壤和作物数据的需求持续较高，但职责分散、协调不均衡以及地方层面能力差距显著等问题长期存在。尽管存在这些制约，新兴的数字农业战略、开放数据政策和区域土壤健康倡议为整合提供了潜在切入点。本研究提供了比较性证据基础和设计原则——涵盖治理、互操作性标准、共同生产过程和能力建设——这些是从项目驱动的碎片化转向可互操作且可持续的信息系统所必需的。这些发现为国家和区域层面加强支持东非CSA实施的农业信息系统提供了诊断性和设计导向的见解。","Land","2026-09-23T00:00:00Z",81,{"impact":17,"substance":92,"depth":17,"authority":16,"freshness":93,"relevant":20,"comment":94},22,9,"基于三国145位关键知情人访谈的混合方法研究，为东非农业信息系统整合与气候智慧农业提供治理与设计原则，方法扎实、结论可靠，具区域政策参考价值。",[96],{"name":88,"url":85},[25,26,98,99,100,101],"土壤健康","气候智慧农业","农业数据","数据互操作",[103,104],"埃塞俄比亚 肯尼亚 卢旺达 农业信息系统","气候智慧农业 土壤作物数据","埃塞俄比亚肯尼亚卢旺达农业信息系统-3351","10.3390\u002Fland15101776",{"doi":106,"openalex_id":108,"authors":109,"venue":88,"cited_by_count":34,"oa_url":85,"card":152,"direction":157,"ingested_from":80},"W7214079859",[110,113,116,118,120,123,126,129,131,134,137,140,143,146,149],{"name":111,"orcid":112},"John Walker Recha","https:\u002F\u002Forcid.org\u002F0000-0002-1146-7197",{"name":114,"orcid":115},"A. Kooiman","https:\u002F\u002Forcid.org\u002F0000-0001-8208-6781",{"name":117,"orcid":8},"Thaïsa van der Woude",{"name":119,"orcid":8},"Hanneke Heesmans",{"name":121,"orcid":122},"Ermias Aynekulu","https:\u002F\u002Forcid.org\u002F0000-0002-1955-6995",{"name":124,"orcid":125},"Angela Nduta Gitau","https:\u002F\u002Forcid.org\u002F0000-0002-8963-2375",{"name":127,"orcid":128},"Pascal Debons","https:\u002F\u002Forcid.org\u002F0000-0001-6314-9935",{"name":130,"orcid":8},"Frank van Weert",{"name":132,"orcid":133},"Michael Okoti","https:\u002F\u002Forcid.org\u002F0000-0002-9550-8258",{"name":135,"orcid":136},"Elizabeth A. Okwuosa","https:\u002F\u002Forcid.org\u002F0000-0001-5941-7423",{"name":138,"orcid":139},"Kennedy Were","https:\u002F\u002Forcid.org\u002F0000-0002-8012-6812",{"name":141,"orcid":142},"Girma Mamo Diga","https:\u002F\u002Forcid.org\u002F0000-0002-2593-3187",{"name":144,"orcid":145},"Dejene Abera","https:\u002F\u002Forcid.org\u002F0000-0003-3692-8620",{"name":147,"orcid":148},"Pierre Celestin Ndayisaba","https:\u002F\u002Forcid.org\u002F0000-0002-8400-9146",{"name":150,"orcid":151},"Jules Rutebuka","https:\u002F\u002Forcid.org\u002F0000-0002-5236-3503",{"tldr":153,"method":154,"finding":155,"direction":78,"opportunity":156},"评估埃塞俄比亚、肯尼亚和卢旺达三国土地-土壤-作物综合信息系统的机构准备度与整合路径。","2022-2024年三国混合方法评估，含145个关键知情人访谈、利益相关方映射与","三国对空间化土壤作物数据需求高，但机构职责碎片化、协调不均、地方能力缺口大。","可研究开放数据政策与区域土壤健康倡议如何作为切入点，推动跨部门互操作标准与联合生产能力建设。","智慧农业 \u002F 农业物联网","2026-09-24T23:30:10.120978Z",{"id":160,"title":161,"url":162,"summary":163,"summary_zh":164,"content":8,"source_name":165,"source_url":162,"published_at":166,"category":46,"cover_url":8,"hotness":12,"is_selected":13,"score":167,"score_detail":168,"sources":170,"tags":172,"search_phrases":175,"slug":178,"view_count":34,"doi":179,"paper":180,"created_at":210},3347,"Integrating Material Flow Cost Accounting and IoT-Based Monitoring for Eco-Efficient Goat Farm Management","https:\u002F\u002Fdoi.org\u002F10.35145\u002F6e5wnv18","Goat farming plays an important role in supporting rural livelihoods, food production, and agricultural sustainability. However, conventional goat farm management often separates environmental monitoring, financial accounting, and livestock management, limiting the ability to identify resource inefficiencies and associated environmental impacts. This study aims to develop and implement GEMBALA (Green Eco-smart Management-Based Automation for Livestock and Accounting), an integrated digital platform that combines Internet of Things (IoT)-based environmental monitoring, Material Flow Cost Accounting (MFCA), emission analysis, artificial intelligence-based livestock management, and analytical reporting. The research employed a research and development approach in collaboration with CV Cahaya Firdaus (Fathur Farm). An IoT sensor prototype was developed, installed, and tested in a real goat farming environment to monitor temperature, humidity, Heat Index (THI), ammonia gas, and dust density. The platform also incorporates MFCA, emission, AI Estrus, AI Health, and analytical reporting modules. The results demonstrate progress toward integrating environmental, economic, and livestock management information within a unified digital platform. However, further validation is required to improve sensor data transmission, synchronization, emission calculations, MFCA data consistency, and AI performance evaluation. The study provides a foundation for eco-economic decision support, sustainable livestock management, and future commercialization of digital livestock technologies.","山羊养殖在支撑农村生计、粮食生产和农业可持续性方面发挥着重要作用。然而，传统的山羊养殖场管理往往将环境监测、财务核算和畜牧管理相互分离，限制了识别资源低效利用及相关环境影响的能力。本研究旨在开发并实施GEMBALA（基于绿色生态智能管理的畜牧与会计自动化平台），这是一个集成了基于物联网（IoT）的环境监测、物料流成本会计（MFCA）、排放分析、基于人工智能的畜牧管理以及分析报告的综合数字平台。研究采用研发方法，与CV Cahaya Firdaus（Fathur Farm）合作开展。研究开发了物联网传感器原型，并在真实山羊养殖环境中进行安装和测试，用于监测温度、湿度、热指数（THI）、氨气和粉尘密度。该平台还整合了MFCA、排放、AI发情检测、AI健康和分析报告模块。结果表明，在将环境、经济和畜牧管理信息整合到统一数字平台方面取得了进展。然而，仍需进一步验证，以改进传感器数据传输、同步、排放计算、MFCA数据一致性以及AI性能评估。本研究为生态经济决策支持、可持续畜牧管理以及数字畜牧技术的未来商业化提供了基础。","Journal of Applied Business and Technology","2026-09-24T00:00:00Z",62,{"impact":19,"substance":17,"depth":49,"authority":12,"freshness":12,"relevant":20,"comment":169},"论文提出融合物联网监测与物料流成本核算的山羊养殖数字平台，方法有创新但尚处原型验证阶段，产业影响有限。",[171],{"name":165,"url":162},[25,26,56,173,174],"农业物联网","畜牧养殖",[176,177],"GEMBALA 山羊养殖 物联网","MFCA 畜牧 环境监测","GEMBALA山羊养殖物联网-3347","10.35145\u002F6e5wnv18",{"doi":179,"openalex_id":181,"authors":182,"venue":165,"cited_by_count":34,"oa_url":162,"card":205,"direction":157,"ingested_from":80},"W7214075234",[183,185,187,189,191,193,196,199,201,203],{"name":184,"orcid":8},"Nicholas Renaldo",{"name":186,"orcid":8},"Sulaiman Musa",{"name":188,"orcid":8},"Jaswar Koto",{"name":190,"orcid":8},"Kristy Veronica",{"name":192,"orcid":8},"Umar Faruq",{"name":194,"orcid":195},"Yulvia Nora Marlim","https:\u002F\u002Forcid.org\u002F0009-0007-8624-5023",{"name":197,"orcid":198},"Rangga Rahmadian Yuliendi","https:\u002F\u002Forcid.org\u002F0000-0003-2288-3580",{"name":200,"orcid":8},"Wilda Susanti",{"name":202,"orcid":8},"Achmad Tavip Junaedi",{"name":204,"orcid":8},"Nabila Wahid",{"tldr":206,"method":207,"finding":208,"direction":157,"opportunity":209},"开发集成物联网监测与物料流成本核算的山羊养殖数字平台GEMBALA。","研发方法，在真实羊场部署物联网传感器并集成MFCA、排放分析与AI模块。","平台初步实现环境、经济与养殖信息整合，但传感器传输与数据一致性仍需验证。","可延伸研究物联网数据与MFCA实时耦合的算法优化及AI模块的长期性能验证。","2026-09-24T23:30:09.863218Z",{"id":212,"title":213,"url":214,"summary":215,"summary_zh":8,"content":216,"source_name":217,"source_url":8,"published_at":218,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":219,"score_detail":220,"sources":222,"tags":224,"search_phrases":229,"slug":232,"view_count":34,"doi":8,"paper":8,"created_at":233},3310,"科技赋能黑土地 丰收更有智慧成色——黑龙江省主要农作物良种基本实现全覆盖 定制农业主体达445家","https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002F2026-09\u002F18\u002Fcontent_583571.html","科技日报报道：黑龙江省2026年中国农民丰收节新闻发布会9月17日在北大荒集团黑龙江闫家岗农场举行。黑龙江省农业农村厅副厅长朱华生介绍：全省主要农作物良种基本实现全覆盖，投入气力式精量播种机2.5万台以上，植保无人机保有量3.3万台；大垄密植、水肥一体化面积达到7560多万亩，一喷多促累计实施2.59亿亩次；黑龙江省农业农村厅8个工作组、黑龙江省农科院13个科技包联服务团包片指导，2.6万余人次农业干部和专家下沉一线。全省定制农业主体已由2024年的255家发展到445家，基地面积由116万亩增至179.9万亩，今年上半年签约销售额达55.5亿元，同比增长85%。","![Image 2](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Findex\u002Fimages\u002Fshare_logo.jpg)\n\n[![Image 3](https:\u002F\u002Fstatics.kjrb.com.cn\u002Fresource\u002Fkjw\u002Findex\u002Fimages\u002Flogo.png)](http:\u002F\u002Fwww.stdaily.com\u002F)\n\n*   [时政](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fszxw\u002Fnode_357.html)\n*   [热点](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Frdxw\u002Fnode_327.html)\n*   [政务](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fzwxw\u002Fnode_362.html)\n*   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6](https:\u002F\u002Fwww.stdaily.com\u002Fweb\u002Fgdxw\u002Fpic\u002F2026-09\u002F18\u002F583571_375862af-fff1-4b39-ab59-509d82c0a42a.jpg)\n\n黑龙江省农业农村厅副厅长朱华生介绍，今年黑龙江深入实施千万吨粮食增产计划，坚持“五良”集成增效，持续强化科技赋能。目前，全省主要农作物良种基本实现全覆盖，投入气力式精量播种机2.5万台以上，植保无人机保有量3.3万台；大垄密植、水肥一体化面积达到7560多万亩，“一喷多促”累计实施2.59亿亩次。与此同时，黑龙江省农业农村厅8个工作组、黑龙江省农科院13个科技包联服务团包片指导，2.6万余人次农业干部和专家下沉一线，让技术加快从科研端走向生产端。\n\n丰收首先要从一粒好种子开始。\n\n“种子是农业的‘芯片’。”黑龙江省农业科学院绥化分院副院长聂守军说，即使在分子标记等现代育种技术广泛应用的今天，一个新品种仍要经历反复筛选和田间验证，不断提高产量、品质和抗逆性。多年来，他和团队已选育100多个水稻新品种，累计种植面积突破2亿亩，其中“绥粳18”成为全国推广面积最大的香稻品种。新品种选育成功后，结合配套研发栽培技术，通过示范基地把良种良法推广到更多种植户。\n\n科技还在向农业产业链后端延伸。近年来，黑龙江推进定制农业发展，推动定制农产品接入省级质量追溯平台，并提供生产场景全程可视服务。截至目前，全省定制农业主体已由2024年的255家发展到445家，基地面积由116万亩增至179.9万亩，今年上半年签约销售额达55.5亿元，同比增长85%。消费者通过手机认领农田、查看生产场景，正在成为农业数字化发展的新体验。\n\n在闫家岗农场，农业科技还将以更加直观的方式呈现在田间。闫家岗农场党委书记、董事长高水峰介绍，9月23日丰收节主场活动举行期间，农场2200亩水田示范区将集中展示物联网田间监测、AI长势智能分析等技术，并开展智慧农业远程调度、无人农机开镰作业，让观众近距离感受现代农业生产方式的变化。\n\n从实验室里的一粒种子，到田间智能装备，再到手机端的定制订单，科技正不断融入黑龙江粮食生产、管理和销售全过程，为黑土地丰收增添更多“智慧”成色。\n\n（受访单位供图）\n\n责任编辑：孙莹\n\n相关稿件：\n\n![Image 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23](https:\u002F\u002Fwww.stdaily.com\u002Fresource\u002FtemplateRes\u002F\u002F202408\u002F19\u002F345\u002Fimages\u002Ffirefox.jpg)](http:\u002F\u002Fwww.firefox.com.cn\u002Fdownload\u002F)[![Image 24](https:\u002F\u002Fwww.stdaily.com\u002Fresource\u002FtemplateRes\u002F\u002F202408\u002F19\u002F345\u002Fimages\u002Fchrome.jpg)](http:\u002F\u002Fwww.chromeliulanqi.com\u002F)\n\n## 3.暂不升级，继续浏览\n\n[继续浏览](javascript:;)","科技日报 2026年09月18日","2026-09-18T00:00:00Z",78,{"impact":92,"substance":50,"depth":49,"authority":16,"freshness":18,"relevant":20,"comment":221},"省级丰收节发布会披露良种覆盖率、定制农业主体与面积等硬数据，科技赋能粮食生产全链条，具备精选价值。",[223],{"name":217,"url":214},[26,27,225,226,227,228],"黑土地保护","农业数字化","定制农业","无人农机",[230,231],"黑龙江 良种 全覆盖","绥粳18 香稻","黑龙江良种全覆盖-3310","2026-09-24T00:04:00.104073Z",{"id":235,"title":236,"url":237,"summary":238,"summary_zh":8,"content":239,"source_name":240,"source_url":8,"published_at":89,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":241,"score_detail":242,"sources":246,"tags":248,"search_phrases":252,"slug":255,"view_count":34,"doi":8,"paper":8,"created_at":256},3302,"沭阳县潼阳镇 破内卷提品质 赋能农业转型升级——江苏省农科院高品质果蔬试验示范基地迭代升级","https:\u002F\u002Fjsnews.jschina.com.cn\u002Fsq\u002F202609\u002Ft20260923_s6ab39777e4b088096d2eb9d2.shtml","沭阳县潼阳镇立足果蔬产业基础，迭代升级江苏省农科院高品质果蔬试验示范基地，依托科研院所技术、品种、人才优势，以新品种试种、高科技赋能、高品质领跑、高效益增收为核心，跳出低价竞争内卷，全力打造绿色优质、高产高效的现代化果蔬种植样板。基地集中试种省农科院最新研发的16个果蔬新品种，涵盖苏蜜518、苏蜜7、黄金潼优质西瓜，苏甜4号香瓜以及两款全省独有的酸甜风味特色哈密瓜。基地建成50栋标准化拱棚、2栋智能温室大棚，配套物联网系统、智能水肥一体化等现代化设施。基地引种的优质新品种亩均产量较本地常规品种提升2-4倍，销售单价提升1-3倍。","中国江苏网9月23日宿迁讯 为破解农业发展瓶颈、推动产业转型升级，沭阳县潼阳镇立足果蔬产业基础，迭代升级江苏省农科院高品质果蔬试验示范基地，依托科研院所技术、品种、人才优势，以新品种试种、高科技赋能、高品质领跑、高效益增收为核心，跳出低价竞争内卷，全力打造绿色优质、高产高效的现代化果蔬种植样板，为沭阳特色农业高质量发展注入强劲动能。\n\n![Image 1](https:\u002F\u002Fjcdn.xhby.net\u002Fdams-res\u002Fediting\u002Fimage\u002F202609\u002F23\u002FFjRY63RVzfqZIvBJ3GGIBT1R.png?image_process=resize,w_800\u002Fformat,jpg)\n\n依托省农科院、亚夫工作站的硬核科研支撑，基地摒弃传统粗放种植模式，聚焦品种革新与技术升级，开启现代农业转型新路径。目前基地集中试种省农科院最新研发的16个果蔬新品种，涵盖苏蜜518、苏蜜7、黄金潼优质西瓜，苏甜4号香瓜以及两款全省独有、小众稀缺的酸甜风味特色哈密瓜。相较于市场常规品种，这批新品种风味醇厚、甜度均衡、营养更佳，稀缺性与品质优势突出，彻底摆脱果蔬市场“同质化低价内卷”困境，以差异化优质品类抢占高端市场，实现“好品质卖出好价钱”。\n\n![Image 2](https:\u002F\u002Fjcdn.xhby.net\u002Fdams-res\u002Fediting\u002Fimage\u002F202609\u002F23\u002FxiVxj13OTSNFliyZgbsfmPpf.png?image_process=resize,w_800\u002Fformat,jpg)\n\n科技赋能是基地提质降本、绿色种植的核心密钥。基地建成50栋标准化拱棚、2栋智能温室大棚，配套物联网系统、智能水肥一体化等现代化设施，实现种植、育苗全流程数字化精准调控。在田间管理上，推行精准滴灌、科学施肥、精准用药标准化模式，摒弃传统大水大肥、盲目用药的种植方式，按需供给水肥、严控农药用量，从源头大幅降低果蔬农残，保障果蔬绿色安全、品质上乘，让每一份产出都符合高端农产品品质标准。\n\n![Image 3](https:\u002F\u002Fjcdn.xhby.net\u002Fdams-res\u002Fediting\u002Fimage\u002F202609\u002F23\u002FYyzLLGhtSne8lauQBCZbCXy9.png?image_process=resize,w_800\u002Fformat,jpg)\n\n在种植模式上，基地创新推行西瓜、哈密瓜、西红柿、辣椒循环套种模式，科学搭配不同品类、不同生长期果蔬轮作套种。这种生态种植方式，能够有效改良土壤结构、均衡地力养分、减少土壤板结与病虫害滋生，最大化盘活土地资源，提升土地复种指数，实现一地多收、生态循环、节本增效的多重效益，走出了一条生态优先、高效集约的现代农业发展之路。\n\n品种升级、科技赋能、模式创新，让基地产业效益实现跨越式提升。数据显示，基地引种的优质新品种，亩均产量较本地常规品种提升2-4倍，销售单价提升1-3倍。同时，基地通过新品种试验示范、标准化种苗繁育，既为全镇乃至全县果蔬品种推广提供实地落地验证，有效降低农户试种风险，带动周边农户科学种植、抱团增收，社会效益显著；依托多品类轮作种植、优质种苗外销，基地年收益可达300万元，经济效益亮眼。\n\n从“跟风种、低价卷”到“优品种、高品质、高附加值”，潼阳镇通过科研赋能、技术革新、模式创新，顺利完成果蔬产业的迭代升级与转型升级。下一步，潼阳镇将持续深化与省农科院的产学研合作，持续引进筛选优质果蔬新品种、推广绿色高效种植新技术，持续放大示范基地辐射带动作用，持续壮大优质果蔬特色产业，以产业振兴赋能乡村全面振兴，让优质果蔬成为群众增收致富的“黄金果”。（黄杰）","中国江苏网 2026年09月23日",59,{"impact":243,"substance":49,"depth":244,"authority":93,"freshness":93,"relevant":20,"comment":245},12,13,"省级农科院与乡镇共建示范基地的迭代升级报道，有新品种、智能设施与亩均效益数据，属细分领域实质进展，但层级为县域示范，适合主题聚合而非头条精选。",[247],{"name":240,"url":237},[26,249,27,250,251],"设施农业","水肥一体化","果蔬产业",[253,254],"江苏省农科院 高品质果蔬 沭阳","苏蜜518 苏甜4号 试验示范","江苏省农科院高品质果蔬沭阳-3302","2026-09-24T00:03:59.427393Z",{"id":258,"title":259,"url":260,"summary":261,"summary_zh":8,"content":8,"source_name":262,"source_url":8,"published_at":263,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":264,"score_detail":265,"sources":267,"tags":269,"search_phrases":272,"slug":275,"view_count":34,"doi":8,"paper":8,"created_at":276},3288,"会种粮到慧种粮、会养殖到慧养殖——AI驱动农业转型升级 中联重科岳麓智慧农场天空地人机协同模式","https:\u002F\u002Ffinance.china.com.cn\u002Fnews\u002F20260923\u002F6324918.shtml","9月23日中国网财经报道：在湖南长沙中联重科岳麓智慧农场，中联智慧农业打造的天空地人机协同智慧作业模式正在改写大田管护方式：以往人工巡查四五百亩稻田要耗费1-2小时；巡田无人机最高可飞120米，20分钟就能完成整片地块巡检，变焦可达100多倍；影像实时回传云端后AI算法输出水稻长势图，精度可达3米乘3米网格。常州艾宝机器人公司研发的猕猴桃采摘机器人已突破多臂协同、视觉感知、自主导航等关键技术；日前温氏股份、德康农牧作为主要完成单位参与的华系种猪育种技术与核心种源创制及应用项目荣获国家科学技术进步奖一等奖。","中国网财经 2026年09月23日","2026-09-23T03:00:00Z",71,{"impact":92,"substance":49,"depth":16,"authority":93,"freshness":12,"relevant":20,"comment":266},"报道呈现AI巡田、采摘机器人与种猪育种获奖等实质进展，但属企业宣传性综合报道，深度与权威度中等。",[268],{"name":262,"url":260},[26,56,270,27,271],"智能农机","天空地一体化",[273,274],"中联重科 岳麓智慧农场","猕猴桃采摘机器人 常州艾宝","中联重科岳麓智慧农场-3288","2026-09-24T00:03:56.850138Z"]