[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1977":3,"related-1977":105},{"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":18,"tags":20,"primary_topic":9,"secondary_topics":24,"classification":25,"search_phrases":70,"slug":73,"view_count":74,"doi":75,"paper":76,"created_at":104},1977,"Safety concerns when reducing food-feed competition through biotransformation of non-edible byproducts to microbial proteins—the example of Paecilomyces variotii in diets for Atlantic salmon","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1855614","Growing demand for animal protein and the extensive use of human-edible crops in animal feeds have intensified concerns regarding food–feed competition and the sustainability of global food systems. Aquaculture is expected to play a central role in future food security, yet the production of major farmed species, such as Atlantic salmon, remains highly dependent on imported plant ingredients and finite marine resources. This dependence exposes aquaculture to environmental pressures, market volatility, and supply-chain disruptions. This perspective explores how biotransformation of non-edible agricultural, food and forestry byproducts into microbial proteins (MIs) can reduce competition between the use of biomass for feed and food. Using Paecilomyces variotii (PEKILO®) produced from forestry industry side streams, as an illustrative case, we examine the potential of converting non-edible biomasses into sustainable feed ingredients for salmon. Evidence suggests that MIs can partially replace conventional feed ingredients such as fishmeal and soy protein concentrate, contributing to more circular and resilient food systems. Potential substrates, technological opportunities, and examples of MIs use in aquaculture are reviewed. We propose that structured risk profiles can support risk-based decision-making, facilitate regulatory assessment, and promote safe adoption of novel feed ingredients. Integrating sustainability, food security, and food safety considerations will be essential for scaling biotransformation technologies in future aquaculture production systems.","动物蛋白需求的持续增长以及人类可食用作物在动物饲料中的广泛使用，加剧了人们对粮食与饲料竞争以及全球粮食系统可持续性的担忧。水产养殖预计将在未来粮食安全中发挥核心作用，然而主要养殖物种（如大西洋鲑）的生产仍高度依赖进口植物原料和有限的海洋资源。这种依赖性使水产养殖面临环境压力、市场波动和供应链中断的风险。本文探讨了将不可食用的农业、食品和林业副产物通过生物转化生产微生物蛋白（MIs），如何减少生物质在饲料与粮食之间使用的竞争。以林业产业侧流生产的拟青霉（Paecilomyces variotii，商品名PEKILO®）为例，我们考察了将不可食用生物质转化为鲑鱼可持续饲料原料的潜力。证据表明，微生物蛋白可部分替代鱼粉和大豆浓缩蛋白等传统饲料原料，有助于构建更循环、更具韧性的粮食系统。本文综述了潜在底物、技术机遇以及微生物蛋白在水产养殖中的应用实例。我们提出，结构化的风险档案可支持基于风险的决策，促进监管评估，并推动新型饲料原料的安全应用。将可持续性、粮食安全和食品安全考量相结合，对于未来水产养殖生产系统中生物转化技术的规模化推广至关重要。",null,"Frontiers in Sustainable Food Systems","2026-09-08T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"主题聚焦水产饲料与食品安全，非三农信息化核心范畴，相关性不足。",[19],{"name":10,"url":6},[21,22,23],"水产养殖","饲料安全","微生物蛋白",[],{"status":26,"locked":14,"version":27,"method":28,"evidence":29},"needs_review","2026-10-22.2","rules",{"candidates":30,"agricultural_evidence":34,"reason":69},[31,40,48,55,62],{"code":32,"score":33,"supported":34,"title":35,"abstract":36,"tags":39},"D",7,true,[],[37,38],"水产","aquaculture",[21],{"code":41,"score":42,"supported":34,"title":43,"abstract":44,"tags":47},"A8",6,[],[45,46],"粮食安全","food security",[],{"code":49,"score":42,"supported":34,"title":50,"abstract":51,"tags":54},"E4",[],[52,53],"食品安全","food safety",[],{"code":56,"score":57,"supported":34,"title":58,"abstract":59,"tags":61},"C4",4,[],[60],"饲料",[22],{"code":63,"score":64,"supported":34,"title":65,"abstract":66,"tags":68},"A4",3,[],[67],"大豆",[],"多个产业证据相当，需要确认主归属",[71,72],"微生物蛋白 水产养殖 饲料安全","微生物蛋白 水产养殖","微生物蛋白水产养殖饲料安全-1977",1,"10.3389\u002Ffsufs.2026.1855614",{"doi":75,"openalex_id":77,"authors":78,"venue":10,"cited_by_count":15,"oa_url":96,"card":97,"direction":101,"ingested_from":103},"W7211942672",[79,82,85,88,90,93],{"name":80,"orcid":81},"Ivar Vågsholm","https:\u002F\u002Forcid.org\u002F0000-0002-1661-0677",{"name":83,"orcid":84},"Liv Torunn Mydland","https:\u002F\u002Forcid.org\u002F0000-0002-9361-3687",{"name":86,"orcid":87},"Jamie M. Hooft","https:\u002F\u002Forcid.org\u002F0000-0003-4748-8333",{"name":89,"orcid":9},"Ashwath Gaudhaman",{"name":91,"orcid":92},"Kartik Baruah","https:\u002F\u002Forcid.org\u002F0000-0002-2060-4982",{"name":94,"orcid":95},"Margareth Øverland","https:\u002F\u002Forcid.org\u002F0000-0003-1142-6624","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1855614\u002Fpdf",{"tldr":98,"method":99,"finding":100,"direction":101,"opportunity":102},"探讨将非食用副产品生物转化为微生物蛋白以减少饲料与食品竞争，并以大西洋鲑为例分析其安全性问题。","以Paecilomyces variotii为例，综述底物、技术及在水产饲料中的","微生物蛋白可部分替代鱼粉和大豆浓缩蛋白，但需通过风险档案确保安全采用。","其他","可研究微生物蛋白饲料的风险评估框架及不同底物安全性，以促进其在水产养殖中的规模化应用。","openalex","2026-09-09T23:30:07.090118Z",{"total":42,"page":74,"page_size":42,"items":106},[107,181,237,303,344,428],{"id":108,"title":109,"url":110,"summary":111,"summary_zh":112,"content":9,"source_name":113,"source_url":110,"published_at":114,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":115,"score_detail":116,"sources":122,"tags":124,"primary_topic":129,"secondary_topics":135,"classification":136,"search_phrases":160,"slug":163,"view_count":15,"doi":164,"paper":165,"created_at":180},5391,"Spatio-temporal analysis and forecasting of land use\u002Fland cover change in East Medinipur district, India using CA-Markov model","https:\u002F\u002Fdoi.org\u002F10.3846\u002Fgac.2026.23669","Land Use\u002FLand Cover (LU\u002FLC) serve as essential indicators of global environmental changes. This study examined the LU\u002FLC change in the East Medinipur district of West Bengal, India, using remote sensing data and the CA-Markov modeling approach. Through GIS tools and satellite imagery, the study maps, monitors, and analyzes LU\u002FLC changes over a 20-year period (2001–2021), utilizing data from Landsat 4–5 and Landsat 8. Analytical tools including ArcGIS 9, IDRISI Terset, and ERDAS 2014 are employed to project LU\u002FLC trends up to 2041. The results highlight significant transformations, notable reductions in agriculture, vegetation, barren land, and water bodies, alongside substantial increases in aquaculture and built-up areas from 2001 to 2021. Projections indicates that these trends will continue through 2041, with further declines in agriculture, vegetation, barren land, and water bodies, accompanied by continued growth in aquaculture and built-up areas.","土地利用\u002F土地覆盖（Land Use\u002FLand Cover，LU\u002FLC）是全球环境变化的重要指标。本研究利用遥感数据和CA-Markov建模方法，考察了印度西孟加拉邦东梅迪尼普尔县的土地利用\u002F土地覆盖变化。通过GIS工具和卫星影像，研究利用Landsat 4–5和Landsat 8数据，对2001—2021年20年间的土地利用\u002F土地覆盖变化进行了制图、监测与分析。研究采用ArcGIS 9、IDRISI Terset和ERDAS 2014等分析工具，对至2041年的土地利用\u002F土地覆盖趋势进行预测。结果表明，2001年至2021年间发生了显著转变，农业、植被、裸地和水体明显减少，水产养殖和建成区则大幅增加。预测显示，这些趋势将持续至2041年，农业、植被、裸地和水体进一步减少，水产养殖和建成区持续增长。","Geodesy and Cartography","2026-10-19T00:00:00Z",61,{"impact":117,"substance":118,"depth":119,"authority":120,"freshness":117,"relevant":74,"comment":121},8,18,15,12,"该研究基于遥感与CA-Markov模型分析印度区域土地利用变化，方法规范、结论明确，但属区域性案例，对国内三农与农业信息化的直接参考价值有限，可作为遥感应用类论文收录，不宜进入每日精选。",[123],{"name":113,"url":110},[21,125,126,127,128],"遥感","土地利用","耕地变化","CA-Markov",{"code":130,"slug":131,"name":132,"path":133,"parent_code":134},"I3","remote-sensing","遥感与农情监测","\u002Ftopic\u002Fdigital-agriculture\u002Fremote-sensing","I",[],{"status":137,"locked":14,"version":27,"method":28,"evidence":138},"classified",{"candidates":139,"agricultural_evidence":34},[140,144,149,155],{"code":32,"score":33,"supported":34,"title":141,"abstract":142,"tags":143},[],[37,38],[21],{"code":130,"score":33,"supported":34,"title":145,"abstract":146,"tags":148},[],[125,147],"remote sensing",[125],{"code":150,"score":64,"supported":34,"title":151,"abstract":152,"tags":154},"I4",[],[153],"GIS",[],{"code":156,"score":74,"supported":14,"title":157,"abstract":158,"tags":159},"H6",[],[],[126],[161,162],"Landsat 土地利用 遥感监测","土地利用 水产养殖 耕地变化 遥感","Landsat土地利用遥感监测-5391","10.3846\u002Fgac.2026.23669",{"doi":164,"openalex_id":166,"authors":167,"venue":113,"cited_by_count":15,"oa_url":173,"card":174,"direction":178,"ingested_from":103},"W7222963948",[168,171],{"name":169,"orcid":170},"Parag Jyoti Kashyap","https:\u002F\u002Forcid.org\u002F0000-0003-4273-841X",{"name":172,"orcid":9},"Sahana Bose","https:\u002F\u002Fjournals.vilniustech.lt\u002Findex.php\u002FGAC\u002Farticle\u002Fdownload\u002F23669\u002F13567",{"tldr":175,"method":176,"finding":177,"direction":178,"opportunity":179},"用遥感与CA-Markov模型分析印度东梅迪尼普尔2001-2021年土地利用变化并预测至2041年","Landsat影像、GIS与IDRISI\u002FERDAS，CA-Markov模型做L","农业、植被、裸地和水体持续减少，水产养殖与建设用地显著扩张并将延续至2041年。","农业遥感与作物表型","可将CA-Markov与作物适宜性\u002F粮食安全模型耦合，评估养殖与建设用地扩张对农业生产的长期威胁。","2026-10-20T23:30:19.057951Z",{"id":182,"title":183,"url":184,"summary":185,"summary_zh":9,"content":186,"source_name":187,"source_url":9,"published_at":188,"category":189,"cover_url":9,"hotness":13,"is_selected":14,"score":190,"score_detail":191,"sources":197,"tags":199,"primary_topic":204,"secondary_topics":207,"classification":208,"search_phrases":232,"slug":235,"view_count":15,"doi":9,"paper":9,"created_at":236},5293,"福建省农科院罗土炎团队鳕鱼\"驯化\"十年 让龙纹斑游上国人餐桌","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7696043632469606939","原产于澳大利亚的鳕鱼经福建省农科院水产养殖乡村振兴科技服务团队首席专家罗土炎十多年\"驯化\",成为龙纹斑\"游\"上中国人餐桌;团队针对受精率低于50%、孵化率仅20%—50%、鱼苗成活率5%—40%等难题,通过专用孵化器调控水体让受精率提高至80%、孵化率提高至91.5%、鱼苗成活率达90%,成果获福建省科技进步奖二等奖,在清流县建成国内最大龙纹斑养殖基地。","原产于澳大利亚的鳕鱼是厨师眼里的好食材，这种世界上最大的淡水白肉鱼，能长到100多斤。如今，这种异国“好鱼”经过十多年“驯化”，正成为中国百姓餐桌上的新美味。“驯鱼”的带头人是福建省农业科学院水产养殖乡村振兴科技服务团队首席专家、福建省“最美科技特派员”罗土炎。\n\n福建人爱吃鱼，但优质、高质、可产业化的淡水鱼品种却不多。市场上、餐馆里、酒店中，高端消费的龙胆、青斑鱼都是从沿海活水车运往内地，成本颇高。\n\n十多年前，罗土炎盯上了鳕鱼，想把这种“外国好鱼”移到福建“安家”。在他看来，福建淡水资源丰富，全省可养殖面积预计超百万亩，加上鳕鱼又是广温鱼类，福建气候正合适。把鱼养在“家门口”，能给城乡居民菜单添一道实实在在的美味佳肴。\n\n要把“洋鱼”变成“闽鱼”，首先要解决繁育问题。2009年，罗土炎组建科技服务团队，开始了鳕鱼的“本土化”。\n\n这种满身优点的鱼类受精率、孵化率、苗种成活率“三低”：3公斤种鱼一次产卵约2万粒，受精率低于50%，孵化率仅20%—50%。种苗也价格不菲，引进一对种鱼费用高达十几万元。\n\n不过，这没有难倒科研团队。“像人类生小孩一样，营养均衡、环境舒适，种鱼才能生出健康的宝宝。”罗土炎想到给种鱼定制“营养餐”，用专用孵化器调控水体。吃得好、住得好，鱼的平均受精率稳步提高至80%，孵化率提高至91.5%。\n\n第一关平稳度过，繁育又现“拦路虎”。“水土不服”的鱼苗成活率只有5%—40%，尤其是小瓜虫病，一度让科研人员束手无策。怎么办？团队在摸索中发现，与其“治病”不如防患于未然。\n\n很快，一套新方案奏效了：鱼宝宝提前吃“辅食”，提高抵抗力；及时人工分池、调控水环境，如此一来便做到提前预防。随着这套疾病防控体系的成型，鳕鱼鱼苗的成活率达到约90%。\n\n2017年，罗土炎团队完成鳕鱼人工繁、育、养及疾病防控等技术突破，鳕鱼由此告别种苗进口依赖，有了“福建芯”，以龙纹斑的名头“游”上中国人的餐桌。这项成果获得了当年度福建省科技进步奖二等奖。\n\n产业化的“接力跑”同步推进。罗土炎主动跟进企业投资，从选地建厂到亲鱼引进、鱼苗繁育全程指导；与此同时，还与三明市清流县的企业合作实施科技服务项目，在山区建成龙纹斑繁、育、养示范基地与清流县现代渔业产业园。如今，这里已成为国内最大的龙纹斑养殖基地和行业技术交流平台。\n\n从一处产业园走向全国，罗土炎和团队用近二十年时间让“洋鱼”成“闽鱼”，也“驯”出了一条山区增收的新路子。目前，福建已建立龙纹斑亲鱼种群1万尾，价值2亿元；年可产苗500万尾以上，销售价值5000万元。\n\n在福建，还有许多这样的科技特派员团队，将科技和智慧带到八闽大地。截至2026年8月，福建省累计选认各级个人科技特派员9万多人次、团队科技特派员近8500个、法人科技特派员近1500个，常态化在一线开展服务的各级科技特派员超过1万名。他们把论文写在广袤的田野上，将实验室建在辽阔的海洋上，为全面推进乡村振兴贡献着农业科技智慧。\n\n**（来源：人民网）**","今日头条中国食品报(2026-10-13)","2026-10-13T00:00:00Z","报道",74,{"impact":192,"substance":193,"depth":194,"authority":195,"freshness":57,"relevant":74,"comment":196},22,20,17,11,"报道详述龙纹斑本土化繁育与产业化突破，数据扎实、信源可靠，但发布已逾一周，时效性偏弱，仍具行业参考价值。",[198],{"name":187,"url":184},[200,201,21,202,203],"种业振兴","福建","科技特派员","龙纹斑",{"code":32,"slug":38,"name":205,"path":206,"parent_code":9},"渔业水产","\u002Ftopic\u002Faquaculture",[],{"status":209,"locked":14,"version":27,"method":28,"evidence":210},"partial",{"candidates":211,"agricultural_evidence":34},[212,216,222,227],{"code":32,"score":57,"supported":34,"title":213,"abstract":214,"tags":215},[],[37],[21],{"code":217,"score":64,"supported":34,"title":218,"abstract":219,"tags":221},"G",[],[220],"乡村振兴",[],{"code":223,"score":74,"supported":14,"title":224,"abstract":225,"tags":226},"F1",[],[],[200],{"code":228,"score":74,"supported":14,"title":229,"abstract":230,"tags":231},"G1",[],[],[202],[233,234],"福建省农科院 罗土炎 龙纹斑","清流 龙纹斑 养殖基地","福建省农科院罗土炎龙纹斑-5293","2026-10-19T00:07:42.208162Z",{"id":238,"title":239,"url":240,"summary":241,"summary_zh":242,"content":9,"source_name":10,"source_url":240,"published_at":243,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":244,"score_detail":245,"sources":251,"tags":253,"primary_topic":258,"secondary_topics":263,"classification":264,"search_phrases":281,"slug":284,"view_count":15,"doi":285,"paper":286,"created_at":302},4978,"Fixed compliance costs and producer selection in regional food production: evidence from China's 2006 agricultural product quality and safety law","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1959282","Food-safety law protects consumers, but the mandatory standards, input restrictions, record-keeping, and pre-sale testing it imposes are largely fixed costs that fall hardest on the smallest producers. Whether that incidence survives aggregation, that is, whether output shed by marginal producers is absorbed by survivors or genuinely lost to a region, remains unsettled. We study China's 2006 Agricultural Product Quality and Safety Law, a nationally synchronous mandate, across 284 prefecture-level cities from 2001 to 2018. A continuous-intensity difference-in-differences design links predetermined pre-law exposure to post-law changes in per-capita animal-source food output, measured at the point of production rather than consumption, treating 2006 as a transition year and 2007 as the first full year of implementation. In the baseline specification, more exposed cities produced roughly 5% less animal-source food after implementation, with the contraction emerging over the post-law period. Because exposure is built from a pre-law outcome level, we re-estimate the relationship on a window excluding the years used to measure exposure; the negative gradient persists. Three findings locate the burden. The contraction covers the activities the statute regulates, animal-source food, grain, and primary-sector value added alike, and is absent from secondary and tertiary activity, making a general regional decline less consistent with the observed pattern. Within animal-source food, it concentrates in aquaculture, the most compliance-intensive segment. Further, it weakens as baseline farm scale rises, a gradient that persists under province-by-year fixed effects and under year-specific trends in baseline economic structure, both of which absorb the average exposure gradient entirely. Because the design works on regional quantities rather than producer histories, it identifies output a region no longer produces rather than the departure of identified producers. The findings are therefore consistent with uniform safety obligations having uneven production-side incidence across regions with different producer structures, which points to shared compliance infrastructure as a way to ease fixed compliance burdens without weakening substantive safety standards.","食品安全法保护消费者，但其规定的强制性标准、投入品限制、记录保存和售前检测在很大程度上属于固定成本，对最小规模的生产者冲击最大。这种负担分布能否在加总层面继续成立，即边际生产者减少的产出是被幸存者吸收还是真正从某一地区流失，仍无定论。我们研究中国2006年《农产品质量安全法》，这是一项全国同步实施的强制要求，覆盖2001年至2018年间284个地级市。我们采用连续强度双重差分设计，将法律实施前预先确定的暴露程度与法律实施后人均动物源食品产出的变化联系起来，产出在生产端而非消费端度量，并将2006年视为过渡年份、2007年视为首个完整实施年份。在基准设定中，暴露程度更高的城市在实施后动物源食品产量约减少5%，且收缩在法律实施后逐步显现。由于暴露程度基于法律实施前的产出水平构建，我们在排除用于度量暴露程度的年份的窗口上重新估计该关系；负向梯度依然存在。三项发现定位了负担所在。收缩覆盖了该法规所监管的活动，动物源食品、粮食和第一产业增加值均如此，而第二和第三产业则没有出现收缩，这使得一般性地区衰退与观察到的模式不太一致。在动物源食品内部，收缩集中于水产养殖，这是合规强度最高的部分。此外，随着基线农场规模上升，收缩减弱，这一梯度在省份-年份固定效应以及基线经济结构的年份特定趋势下依然存在，而这两者都完全吸收了平均暴露梯度。由于该设计基于地区总量而非生产者历史，它识别的是某一地区不再生产的产出，而非可识别生产者的退出。因此，这些发现与以下观点一致：统一的安全义务在不同生产者结构的地区之间产生了不均衡的生产端负担分布，这表明共享合规基础设施是一种在不削弱实质性安全标准的前提下缓解固定合规负担的途径。","2026-10-14T00:00:00Z",86,{"impact":192,"substance":246,"depth":247,"authority":248,"freshness":249,"relevant":74,"comment":250},23,19,13,9,"基于284个地级市2001—2018年数据的准自然实验研究，揭示食品安全法规固定合规成本对区域畜牧水产产出的收缩效应，方法扎实、结论有政策含义，值得进入每日精选。",[252],{"name":10,"url":240},[254,21,255,256,257],"农产品质量安全","小农户","食品安全法","合规成本",{"code":49,"slug":259,"name":260,"path":261,"parent_code":262},"food-safety","质量安全与溯源","\u002Ftopic\u002Ffood-supply\u002Ffood-safety","E",[],{"status":137,"locked":14,"version":27,"method":28,"evidence":265},{"candidates":266,"agricultural_evidence":34},[267,271,276],{"code":32,"score":33,"supported":34,"title":268,"abstract":269,"tags":270},[],[37,38],[21],{"code":49,"score":33,"supported":34,"title":272,"abstract":273,"tags":275},[],[52,274],"农产品质量",[254],{"code":277,"score":74,"supported":14,"title":278,"abstract":279,"tags":280},"G2",[],[],[255],[282,283],"中国 地级市 动物源食品 产出","农产品质量安全 食品安全法 合规成本 水产养殖","中国地级市动物源食品产出-4978","10.3389\u002Ffsufs.2026.1959282",{"doi":285,"openalex_id":287,"authors":288,"venue":10,"cited_by_count":15,"oa_url":240,"card":296,"direction":300,"ingested_from":103},"W7221767515",[289,292,294],{"name":290,"orcid":291},"Xi Feng","https:\u002F\u002Forcid.org\u002F0000-0001-8652-5980",{"name":293,"orcid":9},"毕军涛",{"name":295,"orcid":9},"Mengwei Yang",{"tldr":297,"method":298,"finding":299,"direction":300,"opportunity":301},"研究中国2006年农产品质量安全法，发现合规固定成本使高暴露地区动物源食品产量下降约5%。","连续强度双重差分，2001-2018年284个地级市面板数据，以法律前暴露度识别","合规成本集中于水产养殖，且随农场规模上升而减弱，说明小生产者承担更重固定成本。","农业绿色发展与碳","可研究共享合规基础设施（如区域检测、记录平台）如何降低小农固定合规成本而不放松安全标准。","2026-10-15T23:30:06.488813Z",{"id":304,"title":305,"url":306,"summary":307,"summary_zh":9,"content":9,"source_name":308,"source_url":9,"published_at":188,"category":189,"cover_url":9,"hotness":13,"is_selected":14,"score":309,"score_detail":310,"sources":313,"tags":315,"primary_topic":320,"secondary_topics":326,"classification":327,"search_phrases":339,"slug":342,"view_count":74,"doi":9,"paper":9,"created_at":343},4931,"2026年中国农民丰收节·河南渔文化节10月15-16日在郑州洛阳举办","https:\u002F\u002Fwww.farmer.com.cn\u002F2026\u002F10\u002F13\u002Fwap_991030641.html","2026年中国农民丰收节之河南渔文化节将于10月15日至16日在郑州、洛阳两地举办,由河南省农业农村厅主办,河南科技大学、河南牧业经济学院联合承办。设置一场启幕盛典、四大主题板块、五校科研联展,全方位展示河南渔文化魅力与水产科技成果。黄河鲤鱼、南湾鱼等本土名优鱼类活体展出;洛阳水席鱼菜、信阳炖鱼、开封糖醋黄河鲤等地标美食免费品鉴;非遗面塑手作、'小小渔夫'亲子研学等互动项目同步举办。","中国农网 农民日报 2026 年 10 月 13 日",63,{"impact":311,"substance":119,"depth":120,"authority":195,"freshness":249,"relevant":74,"comment":312},16,"省级主办的渔文化节庆活动，有水产科技成果与地标美食等实质内容，但属常规节庆报道，公共价值有限。",[314],{"name":308,"url":306},[21,316,317,318,319],"农民丰收节","农文旅融合","渔文化","黄河鲤鱼",{"code":321,"slug":322,"name":323,"path":324,"parent_code":325},"J4","seasonal-agriculture","农时与节庆活动","\u002Ftopic\u002Fpolicy\u002Fseasonal-agriculture","J",[],{"status":137,"locked":14,"version":27,"method":28,"evidence":328},{"candidates":329,"agricultural_evidence":34},[330,335],{"code":321,"score":120,"supported":34,"title":331,"abstract":333,"tags":334},[332],"丰收节",[332],[316],{"code":32,"score":57,"supported":34,"title":336,"abstract":337,"tags":338},[],[37],[21],[340,341],"河南渔文化节 郑州 洛阳","黄河鲤鱼 南湾鱼 水产科技","河南渔文化节郑州洛阳-4931","2026-10-15T00:05:53.510167Z",{"id":345,"title":346,"url":347,"summary":348,"summary_zh":349,"content":9,"source_name":350,"source_url":347,"published_at":351,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":352,"score_detail":353,"sources":355,"tags":357,"primary_topic":362,"secondary_topics":367,"classification":368,"search_phrases":405,"slug":408,"view_count":15,"doi":9,"paper":409,"created_at":427},4890,"ระบบพยากรณและเฝาระวงคณภาพนำอจฉรยะตามดชนคณภาพนำ ดวยเทคนคการเรยนรของเครองและอนเทอรเนตของสรรพสง","https:\u002F\u002Fso04.tci-thaijo.org\u002Findex.php\u002FJSSE\u002Farticle\u002Fview\u002F289948","This research utilizes Internet of Things (IoT) technology and Machine Learning (ML) to develop a prototype for a smart water quality forecasting and monitoring system. The study focuses on analyzing the Reduced Water Quality Index (rWQI) based on water temperature, pH, and Total Dissolved Solids (TDS). To forecast water quality 1 to 6 hours in advance, the performance of four predictive models was evaluated and compared: Extremely Randomized Trees (ET), Random Forest (RF), Simple Linear Regression (LR), and Multiple Linear Regression (MLR). The efficiency of these algorithms was validated using four key evaluation metrics: Coefficient of Determination (R2), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Symmetric Mean Absolute Percentage Error (sMAPE). The experimental results indicated that the predictive performance of the models varied significantly depending on the forecasting horizon. In the short-term horizon (1–3 hours ahead), the RF model achieved the highest performance, with an R² of 0.566 and an MAE of 5.215 in the first hour. Conversely, for long-term forecasting (4–6 hours ahead), all models exhibited a significant drop in performance (R² \u003C 0), yielding higher prediction errors than the Mean Baseline. This long-term limitation stems from high water quality volatility in real-world environments combined with error accumulation in multi-step ahead forecasting. In conclusion, these findings emphasize that aligning model selection with the specific forecasting horizon is critical for enhancing system efficiency and stability. The developed model demonstrates high accuracy and suitability for short-term early warnings within 3 hours. This knowledge enables operators to plan water quality management with precision and speed, thereby reducing operational costs and the risk of aquatic livestock loss. Furthermore, this system serves as a technological prototype in digital agriculture, elevating conventional water quality monitoring into proactive management through intelligent technology.","本研究利用物联网（IoT）技术与机器学习（ML），开发了一套智能水质预测与监测系统原型。研究聚焦于基于水温、pH值和总溶解固体（TDS）的简化水质指数（rWQI）分析。为提前1至6小时预测水质，本研究评估并比较了四种预测模型的性能：极端随机树（ET）、随机森林（RF）、简单线性回归（LR）和多元线性回归（MLR）。采用四项关键评价指标验证了这些算法的有效性：决定系数（R²）、平均绝对误差（MAE）、平均绝对百分比误差（MAPE）和对称平均绝对百分比误差（sMAPE）。实验结果表明，各模型的预测性能因预测时间跨度不同而存在显著差异。在短期预测（提前1至3小时）中，RF模型表现最佳，第一小时的R²为0.566，MAE为5.215。相反，在长期预测（提前4至6小时）中，所有模型性能均显著下降（R² \u003C 0），预测误差高于均值基线。这一长期局限性源于真实环境中水质的高波动性以及多步超前预测中的误差累积。综上所述，这些发现强调，将模型选择与特定预测时间跨度相匹配对于提升系统效率与稳定性至关重要。所开发的模型具有较高精度，适用于3小时内的短期预警。这一认识使操作人员能够精准、快速地规划水质管理，从而降低运营成本和水产养殖损失风险。此外，该系统可作为数字农业中的技术原型，通过智能技术将传统水质监测提升为主动管理。","Journal of Science and Science Education (JSSE)","2026-10-12T00:00:00Z",70,{"impact":120,"substance":193,"depth":194,"authority":248,"freshness":117,"relevant":74,"comment":354},"论文将物联网与机器学习结合用于水产养殖水质短期预警，方法对比扎实、结论明确，但属细分技术原型，影响范围有限。",[356],{"name":350,"url":347},[358,359,360,21,361],"智慧农业","机器学习","物联网","水质监测",{"code":363,"slug":364,"name":365,"path":366,"parent_code":134},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot",[],{"status":137,"locked":14,"version":27,"method":28,"evidence":369},{"candidates":370,"agricultural_evidence":34},[371,377,384,390,394,400],{"code":363,"score":13,"supported":34,"title":372,"abstract":373,"tags":376},[],[360,374,375],"internet of things","IoT",[360],{"code":378,"score":33,"supported":34,"title":379,"abstract":380,"tags":383},"I1",[],[381,382],"数字农业","digital agriculture",[358],{"code":385,"score":33,"supported":34,"title":386,"abstract":387,"tags":389},"I2",[],[359,388],"machine learning",[359],{"code":32,"score":57,"supported":34,"title":391,"abstract":392,"tags":393},[],[37],[21],{"code":395,"score":64,"supported":34,"title":396,"abstract":397,"tags":399},"C",[],[398],"livestock",[],{"code":401,"score":74,"supported":14,"title":402,"abstract":403,"tags":404},"D4",[],[],[361],[406,407],"物联网 机器学习 水质预测","rWQI 水质监测 水产养殖","物联网机器学习水质预测-4890",{"doi":9,"openalex_id":410,"authors":411,"venue":350,"cited_by_count":15,"oa_url":347,"card":421,"direction":425,"ingested_from":103},"W7221732805",[412,414,416,418],{"name":413,"orcid":9},"Wanarase Sinhashthita",{"name":415,"orcid":9},"Tossaporn Alherbe",{"name":417,"orcid":9},"Kamol Chareonsri",{"name":419,"orcid":420},"Chayaporn Kaensar","https:\u002F\u002Forcid.org\u002F0009-0005-3330-8532",{"tldr":422,"method":423,"finding":424,"direction":425,"opportunity":426},"利用物联网与机器学习构建水质预测监测系统，提前1-6小时预测rWQI。","基于水温、pH、TDS数据，比较ET、RF、LR、MLR四种模型预测性能。","短期（1-3小时）RF最优，长期（4-6小时）所有模型性能显著下降。","智慧农业 \u002F 农业物联网","可探索融合时序深度学习与误差校正，提升长期水质预测精度与鲁棒性。","2026-10-14T23:30:13.314647Z",{"id":429,"title":430,"url":431,"summary":432,"summary_zh":433,"content":9,"source_name":434,"source_url":431,"published_at":435,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":352,"score_detail":436,"sources":439,"tags":441,"primary_topic":446,"secondary_topics":450,"classification":451,"search_phrases":469,"slug":472,"view_count":15,"doi":473,"paper":474,"created_at":486},4421,"Impact of Climate-Smart Agricultural Education on Youth Livelihood in Bayelsa Riverine Communities","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijaes.vol.12.no9.2026.pg56.66","This study evaluated the impact of climate-smart agricultural education on youth livelihoods across riverine communities in Bayelsa State. Guided by three research questions and three null hypotheses, the author adopted a mixed-method design integrating a cross-sectional descriptive survey with a quasi-experimental field trial. The target population consisted of active farming youths within Ekeremor and Southern Ijaw Local Government Areas. From this frame, the Taro Yamane formula determined a descriptive survey sample of 195 youths, while a nested cohort of 60 youths was purposively selected and split evenly into experimental and control groups (n=30 each) for experimental tracking. Data collection relied on the verified Youth Climate-Smart Agriculture and Livelihood Questionnaire and the objective Climate-Smart Agriculture Competency Assessment Test. Descriptive questions were analyzed using mean and standard deviation, whereas the null hypotheses were tested via Analysis of Covariance (ANCOVA) at a 0.05 level of significance. The empirical findings demonstrated that targeted education in flood resilient crop production, advanced fish farming, and aquaponics significantly boosted practical vocational competencies, prompting the rejection of all three null hypotheses. The study concluded that institutionalized climate-smart agricultural training enhances economic resilience and promotes livelihood diversification in ecological flood zones, recommending that relevant state agencies provide financial tools, specialized equipment, and demonstration hubs for trained cohorts","本研究评估了气候智能型农业教育对巴耶尔萨州沿河社区青年生计的影响。在三个研究问题和三个零假设的指导下，作者采用混合方法设计，将横断面描述性调查与准实验性田间试验相结合。目标人群为埃克雷莫尔和南伊乔地方政府区域内活跃从事农业的青年。在此基础上，采用Taro Yamane公式确定描述性调查样本为195名青年，同时目的性选取60名青年作为嵌套队列，将其平均分为实验组和对照组（每组n=30）进行实验追踪。数据收集依托经过验证的《青年气候智能型农业与生计问卷》和客观的《气候智能型农业能力评估测试》。描述性问题采用均值和标准差进行分析，零假设则通过协方差分析（ANCOVA）在0.05显著性水平下进行检验。实证结果表明，针对抗洪作物生产、先进养鱼技术和鱼菜共生系统的定向教育显著提升了实际职业能力，因此三个零假设均被拒绝。研究得出结论：制度化的气候智能型农业培训能够增强经济韧性并促进生态洪泛区的生计多样化，建议相关州级机构为受训群体提供金融工具、专业设备和示范中心。","INTERNATIONAL JOURNAL OF AGRICULTURE AND EARTH SCIENCE","2026-10-07T00:00:00Z",{"impact":120,"substance":437,"depth":311,"authority":248,"freshness":117,"relevant":74,"comment":438},21,"尼日利亚河流州气候智慧农业教育对青年生计影响的实证研究，方法规范、结论明确，但属区域性案例，对国内三农信息化参考价值有限。",[440],{"name":434,"url":431},[21,442,443,444,445],"气候智慧农业","农业教育","青年生计","洪涝适应",{"code":378,"slug":447,"name":448,"path":449,"parent_code":134},"smart-agriculture","智慧农业总论","\u002Ftopic\u002Fdigital-agriculture\u002Fsmart-agriculture",[],{"status":137,"locked":14,"version":27,"method":28,"evidence":452},{"candidates":453,"agricultural_evidence":34},[454,459,464],{"code":32,"score":57,"supported":34,"title":455,"abstract":456,"tags":458},[],[457],"fish farming",[21],{"code":378,"score":64,"supported":34,"title":460,"abstract":461,"tags":463},[],[462],"smart agriculture",[],{"code":465,"score":74,"supported":14,"title":466,"abstract":467,"tags":468},"H7",[],[],[442],[470,471],"Bayelsa 气候智慧农业 青年","aquaponics 洪水适应 农业培训","Bayelsa气候智慧农业青年-4421","10.56201\u002Fijaes.vol.12.no9.2026.pg56.66",{"doi":473,"openalex_id":475,"authors":476,"venue":434,"cited_by_count":15,"oa_url":479,"card":480,"direction":425,"ingested_from":103},"W7220862726",[477],{"name":478,"orcid":9},"Ugo Panebi","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FIJAES\u002FVOL. 12 NO. 9 2026\u002FIMPACT OF CLIMATE-SMART AGRICULTURAL 56-66.pdf",{"tldr":481,"method":482,"finding":483,"direction":484,"opportunity":485},"评估气候智慧型农业教育对巴耶尔萨河岸社区青年生计的影响。","混合方法：195人问卷调查加60人准实验，用ANCOVA检验。","抗洪种植、养鱼和鱼菜共生培训显著提升青年职业技能与生计韧性。","数字乡村与农业信息化","可探索将气候智慧型农业培训与数字平台、远程教育结合，扩大河岸社区覆盖。","2026-10-08T23:30:10.938615Z"]