[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2295":3,"related-2295":140},{"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,"primary_topic":32,"secondary_topics":37,"classification":50,"search_phrases":109,"slug":112,"view_count":22,"doi":113,"paper":114,"created_at":139},2295,"Biofilm biofertilizer mitigates water stress in rice: impact on growth, yield, and grain quality","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1819208","Introduction Continuous flooding in paddy ( Oryza sativa L.) cultivation challenges sustainable agriculture and food security amid climate change. Biofilm biofertilizer (BFBF) can improve soil organic matter and nutrient content without compromising yield, but its effect on plant water use and grain quality under restricted irrigation remains untested. This study evaluated BFBF's effect on rice water consumption under progressively limited irrigation. Methods A 3-month pot experiment used wetland (At 314) and dryland (Bg 251) rice varieties under two fertilizer practices, chemical fertilizer (CF, 340 kg NPK ha −1 ) and BFBF (225 kg NPK ha −1 + 2.5 L BFBF ha −1 ), and three water treatments (flooded, 100% field capacity, 65% field capacity), in a three-factor factorial completely randomized design ( n = 3). Total water usage, water use efficiency (WUE), net assimilation rate (NAR), relative growth rate (RGR), yield components, macronutrients (carbohydrates, proteins, lipids), and heavy metal content were recorded; significance was assessed via three-factor ANOVA (variety × fertilizer × water) with Tukey’s HSD test ( p \u003C 0.05). Results Total water use was significantly reduced under BFBF only in the wetland variety (ca. 12% under flooded, 10% at 100% field capacity, and no reduction at 65% field capacity). Grain Cd and Pb fell by 34 and 81%, respectively, under BFBF. Carbohydrate, protein, and lipid contents, Fe and Zn concentrations, and yield components were unaffected by fertilizer practice, varying only by variety and\u002For water treatment. BFBF increased NAR and RGR by ca. 33 and 7%, respectively, across all water treatments. Overall, BFBF matched full-rate CF for yield and nutritional composition while reducing water use and heavy-metal accumulation under dryland, water-limited conditions. Conclusion Collectively, these results position BFBF as a candidate drought-resilience strategy for rice cultivation, reducing water demand and heavy-metal accumulation without compromising grain yield or quality, particularly for dryland, water-limited conditions. Multi-season field trials are needed to confirm these responses at scale.","引言 水稻（Oryza sativa L.）栽培中的持续淹水在气候变化背景下对可持续农业和粮食安全构成挑战。生物膜生物肥料（biofilm biofertilizer，BFBF）能够在不影响产量的前提下提高土壤有机质和养分含量，但其在限制灌溉条件下对植物水分利用和稻米品质的影响尚未得到验证。本研究评估了BFBF在逐步限制灌溉条件下对水稻耗水量的影响。方法 采用为期3个月的盆栽试验，选用湿地品种（At 314）和旱地品种（Bg 251），设置两种施肥方式——化肥（chemical fertilizer，CF，340 kg NPK ha⁻¹）和BFBF（225 kg NPK ha⁻¹ + 2.5 L BFBF ha⁻¹），以及三种水分处理（淹水、100%田间持水量、65%田间持水量），采用三因素析因完全随机设计（n = 3）。记录总用水量、水分利用效率（water use efficiency，WUE）、净同化速率（net assimilation rate，NAR）、相对生长速率（relative growth rate，RGR）、产量构成因素、大量营养素（碳水化合物、蛋白质、脂质）及重金属含量；通过三因素方差分析（品种 × 肥料 × 水分）结合Tukey's HSD检验评估显著性（p \u003C 0.05）。结果 仅在湿地品种中，BFBF显著降低了总用水量（淹水条件下约降低12%，100%田间持水量下约降低10%，65%田间持水量下无降低）。BFBF处理下稻米Cd和Pb分别降低34%和81%。碳水化合物、蛋白质和脂质含量、Fe和Zn浓度及产量构成因素不受施肥方式影响，仅随品种和\u002F或水分处理变化。在所有水分处理下，BFBF使NAR和RGR分别提高约33%和7%。总体而言，BFBF在产量和营养组成方面与全量化肥相当，同时在旱地、水分受限条件下减少了用水量和重金属积累。结论 综合来看，这些结果表明BFBF可作为水稻栽培中应对干旱的候选策略，在不影响籽粒产量或品质的前提下降低水分需求和重金属积累，尤其适用于旱地、水分受限条件。仍需多季田间试验以在规模化条件下验证这些响应。",null,"Frontiers in Sustainable Food Systems","2026-09-11T00:00:00Z","论文",10,false,75,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},15,21,18,13,8,1,"盆栽试验证实生物膜菌肥在限水条件下可减水降镉铅且不减产，属有数据支撑的节水抗逆新结论，但仅为单季盆栽研究，产业级影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"水稻","节水灌溉","抗旱育种","生物膜菌肥","重金属阻控",{"code":33,"slug":34,"name":27,"path":35,"parent_code":36},"A1","rice","\u002Ftopic\u002Ffield-crops\u002Frice","A",[38,44],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},"F3","fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers","F",{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":51,"locked":14,"version":52,"method":53,"evidence":54},"classified","2026-10-22.2","rules",{"candidates":55,"agricultural_evidence":57},[56,63,71,79,87,95,102],{"code":33,"score":19,"supported":57,"title":58,"abstract":59,"tags":62},true,[34],[27,60,34,61],"稻米","paddy",[27],{"code":39,"score":64,"supported":57,"title":65,"abstract":66,"tags":70},9,[],[67,68,69],"施肥","肥料","fertilizer",[],{"code":45,"score":64,"supported":57,"title":72,"abstract":73,"tags":78},[],[74,75,76,77],"气候变化","干旱","climate change","drought",[],{"code":80,"score":81,"supported":57,"title":82,"abstract":83,"tags":86},"H3",7,[],[84,85],"灌溉","irrigation",[28],{"code":88,"score":89,"supported":57,"title":90,"abstract":91,"tags":94},"A8",6,[],[92,93],"粮食安全","food security",[],{"code":96,"score":89,"supported":57,"title":97,"abstract":98,"tags":101},"H2",[],[99,100],"土壤","soil",[],{"code":103,"score":89,"supported":57,"title":104,"abstract":105,"tags":108},"H8",[],[106,107],"可持续农业","sustainable agriculture",[],[110,111],"生物膜菌肥 重金属阻控 抗旱育种 节水灌溉","生物膜菌肥 重金属阻控","生物膜菌肥重金属阻控抗旱育种节水灌溉-2295","10.3389\u002Ffsufs.2026.1819208",{"doi":113,"openalex_id":115,"authors":116,"venue":10,"cited_by_count":131,"oa_url":6,"card":132,"direction":136,"ingested_from":138},"W7212303356",[117,119,121,123,126,129],{"name":118,"orcid":9},"Chamudika Gunawardhana",{"name":120,"orcid":9},"Aravindi Epa",{"name":122,"orcid":9},"Sidath Ekanayake",{"name":124,"orcid":125},"Mahesh Premarathna","https:\u002F\u002Forcid.org\u002F0000-0002-6127-3956",{"name":127,"orcid":128},"Gamini Seneviratne","https:\u002F\u002Forcid.org\u002F0000-0003-1562-4097",{"name":130,"orcid":9},"Saman Seneweera",0,{"tldr":133,"method":134,"finding":135,"direction":136,"opportunity":137},"盆栽试验表明生物膜菌肥可降低水稻耗水与重金属积累，且不减产。","3个月盆栽三因素试验，2品种×2施肥×3水分，测耗水、生长、产量与品质。","菌肥使湿地稻耗水降约12%，籽粒镉铅降34%和81%，产量品质与全量化肥相当。","农业绿色发展与碳","可开展多季田间验证，并探究菌肥节水降镉的微生物机制与区域适配性。","openalex","2026-09-13T23:30:07.401817Z",{"total":89,"page":22,"page_size":89,"items":141},[142,194,287,349,419,475],{"id":143,"title":144,"url":145,"summary":146,"summary_zh":9,"content":147,"source_name":148,"source_url":9,"published_at":149,"category":150,"cover_url":9,"hotness":13,"is_selected":14,"score":151,"score_detail":152,"sources":156,"tags":158,"primary_topic":163,"secondary_topics":164,"classification":166,"search_phrases":189,"slug":192,"view_count":131,"doi":9,"paper":9,"created_at":193},5288,"赤壁水稻智慧施肥千亩示范片区亩产突破700公斤 化肥减量、耕地地力持续提升","https:\u002F\u002Fnews.cjn.cn\u002Fzjjjdpd\u002Fxn_20064\u002F202610\u002Ft5348946.htm","10月9日湖北省农科院、省农业农村厅测产专家组赴赤壁市赤壁镇九毫村,经严格实测水稻智慧施肥千亩示范片区水稻亩产突破700公斤,片区总面积1154亩;该片区集成应用智慧科学施肥方案,推广绿色肥料、机械侧深施肥、无人机追肥、秸秆还田等先进农业技术,实现粮食稳产增产与农业绿色发展双赢;赤壁市今年水稻总产量预计可达23万吨以上。","10月9日，省农科院、省农业农村厅测产专家组赴赤壁市赤壁镇九毫村，对水稻智慧施肥千亩示范片区开展现场实收测产，经严格实测，片区水稻亩产突破700公斤。\n\n本次实收测产片区总面积1154亩。专家组现场随机选定田块，依次完成水稻脱粒、装袋、称重、籽粒含水率检测等一系列规范流程。\n\n该示范片区集成应用智慧科学施肥方案，推广绿色肥料、机械侧深施肥、无人机追肥、秸秆还田等先进农业技术。技术落地后，农田化肥投入有效减少，农业面源污染得到控制，耕地地力持续提升，实现粮食稳产增产与农业绿色发展双赢，为赤壁市乃至咸宁市秋粮稳产增产打造可复制、可推广的实践样板。\n\n近年来，赤壁市深耕科学施肥推广，以新技术、新产品、新机具“三新”集成推广为抓手，对接省农业科技服务支点建设“五大提质行动”，推动良田、良种、良机、良法深度融合，加快农业关键技术落地。全市水稻常年种植面积稳定在43万亩左右，今年水稻总产量预计可达23万吨以上。（ 见博、王智雨）","长江网(2026-10-14)","2026-10-14T00:00:00Z","报道",57,{"impact":153,"substance":19,"depth":20,"authority":89,"freshness":154,"relevant":22,"comment":155},16,4,"省级农科院测产验证的智慧施肥千亩示范实收数据，具可复制推广价值，但为地方性报道且已过一周时效。",[157],{"name":148,"url":145},[159,27,160,161,162],"绿色农业","耕地地力","化肥减量","智慧施肥",{"code":33,"slug":34,"name":27,"path":35,"parent_code":36},[165],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"status":51,"locked":14,"version":52,"method":53,"evidence":167},{"candidates":168,"agricultural_evidence":57},[169,173,178,185],{"code":39,"score":17,"supported":57,"title":170,"abstract":171,"tags":172},[67],[67,68],[161],{"code":33,"score":174,"supported":57,"title":175,"abstract":176,"tags":177},12,[27],[27],[27],{"code":179,"score":180,"supported":57,"title":181,"abstract":182,"tags":184},"H5",3,[],[183],"秸秆还田",[],{"code":103,"score":22,"supported":14,"title":186,"abstract":187,"tags":188},[],[],[159],[190,191],"赤壁 水稻 智慧施肥","九毫村 水稻 测产","赤壁水稻智慧施肥-5288","2026-10-19T00:07:41.890918Z",{"id":195,"title":196,"url":197,"summary":198,"summary_zh":199,"content":9,"source_name":200,"source_url":197,"published_at":201,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":202,"score_detail":203,"sources":207,"tags":209,"primary_topic":214,"secondary_topics":219,"classification":222,"search_phrases":252,"slug":255,"view_count":22,"doi":256,"paper":257,"created_at":286},4353,"Breeding innovations focused on drought tolerance, and Nitrogen and phosphorus uptake, for sustainable and climate-resilient sugarcane","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffpls.2026.1925822","Sugarcane ( Saccharum spp.) is a strategic agro-industrial crop with a central role in global sugar production, bioethanol generation, and the development of sustainable bioeconomy systems. Beyond sugar, sugarcane by-products such as bagasse, molasses, and vinasse represent valuable resources for renewable energy, biofuels, biopolymers, and circular production systems. However, climate change threatens sugarcane productivity worldwide through increased temperatures, irregular rainfall patterns, and intensified drought events, directly affecting biomass accumulation, photosynthesis, and crop yield. This review summarizes current advances in climate-resilient sugarcane breeding and sustainable nutrient management strategies, with emphasis on drought tolerance, nitrogen-use efficiency (NUE), and phosphorus-use efficiency (PUE). Drought induces significant physiological, biochemical, and molecular alterations in sugarcane, including reduced growth, impaired photosynthetic activity, osmotic imbalance, and oxidative stress. Advances in breeding programs, omics technologies, molecular markers, and genetic engineering have improved the understanding of drought tolerance mechanisms and enabled the identification of stress-responsive genes, transcription factors, and candidate molecular markers associated with resilience. In parallel, improving NUE and PUE has become essential to reduce fertilizer dependence and mitigate environmental impacts associated with nutrient losses. Integrated management strategies involving enhanced-efficiency fertilizers, precision agriculture, biological Nitrogen fixation, microbial inoculants, residue recycling, and the development of nutrient-efficient genotypes have shown promising results. Although significant progress has been achieved in genomics and biotechnology, the genetic complexity of sugarcane and limited knowledge of nutrient-related pathways still constrain the development of highly efficient cultivars. The integration of advanced breeding technologies with sustainable agronomic practices will be crucial to ensure resilient and environmentally sustainable sugarcane production under future climate scenarios.","甘蔗（*Saccharum* spp.）是一种战略性农业工业作物，在全球蔗糖生产、生物乙醇制造及可持续生物经济体系发展中发挥着核心作用。除蔗糖外，甘蔗副产品如蔗渣、糖蜜和酒糟是可再生能源、生物燃料、生物聚合物和循环生产系统的宝贵资源。然而，气候变化通过气温升高、降雨模式异常和干旱事件加剧，对全球甘蔗生产力构成威胁，直接影响生物量积累、光合作用和作物产量。本文综述了气候韧性甘蔗育种和可持续养分管理策略的当前进展，重点关注耐旱性、氮利用效率（NUE）和磷利用效率（PUE）。干旱诱导甘蔗发生显著的生理、生化和分子层面的改变，包括生长受阻、光合活性受损、渗透失衡和氧化胁迫。育种计划、组学技术、分子标记和基因工程方面的进展增进了对耐旱机制的理解，并使得与抗逆性相关的胁迫响应基因、转录因子和候选分子标记的鉴定成为可能。与此同时，提高NUE和PUE对于减少肥料依赖和缓解养分流失带来的环境影响已变得至关重要。涉及增效肥料、精准农业、生物固氮、微生物接种剂、残体循环利用以及养分高效基因型开发的综合管理策略已显示出良好前景。尽管在基因组学和生物技术方面已取得重大进展，但甘蔗的遗传复杂性以及对养分相关通路认识的有限性仍制约着高效品种的培育。将先进育种技术与可持续农艺实践相结合，对于确保未来气候情景下甘蔗生产的韧性和环境可持续性至关重要。","Frontiers in Plant Science","2026-10-05T00:00:00Z",78,{"impact":19,"substance":204,"depth":19,"authority":205,"freshness":21,"relevant":22,"comment":206},20,14,"系统综述甘蔗抗旱与氮磷高效育种进展，属种业与气候韧性农业前沿，具行业参考价值。",[208],{"name":200,"url":197},[210,211,29,212,213],"分子育种","气候韧性农业","甘蔗育种","氮磷高效",{"code":215,"slug":216,"name":217,"path":218,"parent_code":36},"A6","cash-crops","棉麻糖与特色经作","\u002Ftopic\u002Ffield-crops\u002Fcash-crops",[220,221],{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"status":51,"locked":14,"version":52,"method":53,"evidence":223},{"candidates":224,"agricultural_evidence":57},[225,229,235,240,247],{"code":45,"score":19,"supported":57,"title":226,"abstract":227,"tags":228},[77],[74,75,76,77],[211],{"code":215,"score":17,"supported":57,"title":230,"abstract":232,"tags":234},[231],"sugarcane",[233,231],"甘蔗",[212],{"code":39,"score":64,"supported":57,"title":236,"abstract":237,"tags":239},[],[68,238,69],"养分管理",[],{"code":241,"score":89,"supported":57,"title":242,"abstract":243,"tags":246},"I1",[],[244,245],"精准农业","precision agriculture",[],{"code":248,"score":22,"supported":14,"title":249,"abstract":250,"tags":251},"F2",[],[],[210],[253,254],"甘蔗 抗旱育种 氮磷利用效率","气候韧性 甘蔗 可持续生产","甘蔗抗旱育种氮磷利用效率-4353","10.3389\u002Ffpls.2026.1925822",{"doi":256,"openalex_id":258,"authors":259,"venue":200,"cited_by_count":131,"oa_url":279,"card":280,"direction":285,"ingested_from":138},"W7220414785",[260,263,266,268,270,273,276],{"name":261,"orcid":262},"María Francisca Perera","https:\u002F\u002Forcid.org\u002F0000-0001-7356-0883",{"name":264,"orcid":265},"Josefina Racedo","https:\u002F\u002Forcid.org\u002F0000-0001-6874-1778",{"name":267,"orcid":9},"Aline Cestaro Salla Sá",{"name":269,"orcid":9},"Joao Vitor de Mello Vomero",{"name":271,"orcid":272},"Thiago Willian Almeida Balsalobre","https:\u002F\u002Forcid.org\u002F0000-0002-7488-0536",{"name":274,"orcid":275},"Márcio Roberto Soares","https:\u002F\u002Forcid.org\u002F0000-0002-9543-6450",{"name":277,"orcid":278},"Monalisa Sampaio Carneiro","https:\u002F\u002Forcid.org\u002F0000-0002-9835-7205","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fplant-science\u002Farticles\u002F10.3389\u002Ffpls.2026.1925822\u002Fpdf",{"tldr":281,"method":282,"finding":283,"direction":136,"opportunity":284},"综述甘蔗耐旱及氮磷高效利用的育种创新与可持续养分管理策略。","综述组学、分子标记、基因工程及精准农业与微生物菌剂等策略。","耐旱与养分高效基因型结合精准管理可提升气候韧性，但甘蔗遗传复杂仍制约育种。","可探索甘蔗耐旱与氮磷高效协同的分子调控网络及多组学辅助设计育种。","农业遥感与作物表型","2026-10-07T23:30:19.189747Z",{"id":288,"title":289,"url":290,"summary":291,"summary_zh":9,"content":9,"source_name":292,"source_url":9,"published_at":293,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":294,"score_detail":295,"sources":299,"tags":301,"primary_topic":306,"secondary_topics":307,"classification":312,"search_phrases":335,"slug":338,"view_count":180,"doi":9,"paper":339,"created_at":348},4159,"Dynamic regulation of grid-scale high-efficiency precision irrigation for rice under climate variability（基于气候变化的网格尺度水稻精准灌溉动态调控）","https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs44264-026-00172-7","Dong Wenhao、Xu YaoWen、Zhangzhong Lili、Xu Xianghui、Wei Shiyu、Sun Ziqiang、Chen Yingshan、Zhang Pingan、Li Mo（npj Sustainable Agriculture 2026, 4(1): 61）。针对气候变化与区域水量供需失衡，文章提出「模拟-优化」协同的网格尺度水稻精准灌溉调度框架：使用WOFOST模型结合Sobol敏感性分析与粒子群优化，与多目标优化模型耦合生成可动态调整的灌溉策略。在黑龙江省三江平原与松嫩平原（332,500 km²）应用：模型精度提高，区域产量提升1.5%、灌溉用水减少8.0%；动态调度策略相比传统灌溉节水10.1%。","npj Sustainable Agriculture 2026, 4(1): 61","2026-09-28T00:00:00Z",83,{"impact":296,"substance":297,"depth":19,"authority":205,"freshness":89,"relevant":22,"comment":298},22,23,"核心期刊论文，提出模拟-优化协同的网格尺度水稻精准灌溉框架，在三江平原等区域验证节水增产效果，方法新颖、数据规模大，对智慧农业与气候适应有参考价值。",[300],{"name":292,"url":290},[302,27,303,304,305],"智慧农业","气候适应","精准灌溉","三江平原",{"code":33,"slug":34,"name":27,"path":35,"parent_code":36},[308,311],{"code":80,"slug":85,"name":309,"path":310,"parent_code":49},"水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":14,"version":52,"method":53,"evidence":313},{"candidates":314,"agricultural_evidence":57},[315,319,323,327,331],{"code":33,"score":204,"supported":57,"title":316,"abstract":317,"tags":318},[27,34],[27],[27],{"code":80,"score":204,"supported":57,"title":320,"abstract":321,"tags":322},[84,85],[84],[304],{"code":45,"score":174,"supported":57,"title":324,"abstract":325,"tags":326},[74],[74],[303],{"code":103,"score":180,"supported":57,"title":328,"abstract":329,"tags":330},[],[107],[],{"code":241,"score":22,"supported":14,"title":332,"abstract":333,"tags":334},[],[],[302],[336,337],"三江平原 水稻 精准灌溉","WOFOST 水稻 灌溉调度","三江平原水稻精准灌溉-4159",{"doi":9,"openalex_id":9,"authors":340,"venue":9,"cited_by_count":131,"oa_url":9,"card":341,"direction":345,"ingested_from":347},[],{"tldr":342,"method":343,"finding":344,"direction":345,"opportunity":346},"提出模拟-优化协同的网格尺度水稻精准灌溉调度框架，实现动态调控。","WOFOST作物模型、Sobol敏感性分析、粒子群优化与多目标优化耦合。","区域产量提升1.5%、灌溉用水减少8.0%，动态调度较传统灌溉节水10.1%。","智慧农业 \u002F 农业物联网","可探索将网格尺度灌溉调度与实时物联网墒情监测、遥感数据同化结合，实现气候变率下的在线滚动优化。","agent","2026-10-04T00:09:10.154416Z",{"id":350,"title":351,"url":352,"summary":353,"summary_zh":354,"content":9,"source_name":355,"source_url":352,"published_at":356,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":357,"score_detail":358,"sources":361,"tags":363,"primary_topic":367,"secondary_topics":368,"classification":370,"search_phrases":398,"slug":401,"view_count":402,"doi":403,"paper":404,"created_at":418},3920,"Automated Leaf Color Chart (LCC)-BasedNitrogen Fertilizer Recommendation UsingPaddy Leaf Image Color Classification","https:\u002F\u002Fdoi.org\u002F10.70818\u002Fijbass.2026.v07i02.0075","The demand for accurate and timely assessment of crop health is high in precision agriculture to support proper nutrient management. In this work, we present an intelligent deep learning-based solution that evaluates the colour of paddy rice leaves to provide real-time, context-sensitive recommendations regarding the addition of nitrogen fertilizers to grow rice sustainably. For optimum nitrogen management and sustainability in the production of rice crops, an accurate assessment of the color of paddy leaves is required. Herein, we present a deep learning-based framework for paddy leaf color classification with the capability of recommending an appropriate amount of nitrogen fertilizer as needed in real-time. In this research, the Paddy Net dataset containing 12,000 augmented rice leaf images will be used for training the neural network used for classifying the rice leaf's color based on the Leaf Color Chart (LCC) system, which consists of LCC levels from 2 to 5. Additionally, several deep learning architectures were trainedand tested, specifically Custom CNNs, VGG16, ResNet50 and EfficientNetB7, to identify which architecture provided the best classification performance of rice leaf color. In terms of the experimental results, it can be concluded that the Custom CNN with a classification accuracy of 97.55% significantly outperforms the transfer learning models, VGG16 (78.89%) and EfficientNetB7 (78.67%). To also improve practicality, multimodal vision-language model LLa MA 3.2-11B Vision is integrated into the system, allowing it to provide real-time, context-based nitrogen fertilizer recommendations based on visual input images. Additionally, the proposed framework takes into account other agronomic factors such as the growth stage of the crop, type of soil, and fertilizer application history. This allows for more accurate and relevant recommendations. The proposed framework allows for precise and objective nitrogen management without the subjective use of visual assessment methods typically used by farmers. Overall, the proposed system for fertilizer application is significant for the development of precision agriculture because it increases the efficiency of the decision-making process, optimizes the use of fertilizer, and increases the practice of sustainable rice cultivation.","在精准农业中，对作物健康状况进行准确且及时评估的需求很高，以支持合理的养分管理。在这项工作中，我们提出了一种基于深度学习的智能解决方案，通过评估水稻叶片的颜色，实时提供与情境相关的氮肥添加建议，以实现水稻的可持续种植。为了实现水稻作物生产中的优化氮管理和可持续性，需要对水稻叶片颜色进行准确评估。在此，我们提出了一个基于深度学习的稻田叶片颜色分类框架，能够根据实时需求推荐适量的氮肥。在本研究中，包含12,000张增强水稻叶片图像的Paddy Net数据集将用于训练神经网络，该网络基于叶色卡（Leaf Color Chart, LCC）系统对水稻叶片颜色进行分类，LCC等级从2到5。此外，我们训练并测试了多种深度学习架构，特别是自定义CNN、VGG16、ResNet50和EfficientNetB7，以确定哪种架构在水稻叶片颜色分类中表现最佳。从实验结果可以得出结论，自定义CNN以97.55%的分类准确率显著优于迁移学习模型VGG16（78.89%）和EfficientNetB7（78.67%）。为提高实用性，系统还集成了多模态视觉语言模型LLaMA 3.2-11B Vision，使其能够基于视觉输入图像提供实时、基于情境的氮肥推荐。此外，所提出的框架还考虑了其他农艺因素，如作物生长阶段、土壤类型和施肥历史，从而提供更准确和相关的建议。该框架实现了精确、客观的氮管理，避免了农民通常采用的主观视觉评估方法。总体而言，所提出的施肥系统对精准农业的发展具有重要意义，因为它提高了决策过程的效率，优化了肥料使用，并促进了可持续水稻种植实践。","International Journal of Business Arts and Scientific Study","2026-09-30T00:00:00Z",63,{"impact":174,"substance":204,"depth":359,"authority":89,"freshness":21,"relevant":22,"comment":360},17,"用深度学习与视觉语言模型实现水稻叶色分级与氮肥实时推荐，方法新颖、数据规模可观，但期刊影响力有限，属细分领域技术进展。",[362],{"name":355,"url":352},[302,364,365,27,366],"农业人工智能","精准施肥","氮肥管理",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[369],{"code":33,"slug":34,"name":27,"path":35,"parent_code":36},{"status":51,"locked":14,"version":52,"method":53,"evidence":371},{"candidates":372,"agricultural_evidence":57},[373,378,383,387,394],{"code":39,"score":374,"supported":57,"title":375,"abstract":376,"tags":377},19,[69],[67,68,238,69],[366,365],{"code":33,"score":13,"supported":57,"title":379,"abstract":380,"tags":382},[],[27,381,34,61],"稻田",[27],{"code":241,"score":81,"supported":57,"title":384,"abstract":385,"tags":386},[],[244,245],[302],{"code":388,"score":81,"supported":57,"title":389,"abstract":390,"tags":393},"I2",[],[391,392],"深度学习","deep learning",[364],{"code":96,"score":89,"supported":57,"title":395,"abstract":396,"tags":397},[],[99,100],[],[399,400],"水稻 叶片颜色 氮肥推荐","Paddy Net 深度学习 叶色卡","水稻叶片颜色氮肥推荐-3920",2,"10.70818\u002Fijbass.2026.v07i02.0075",{"doi":403,"openalex_id":405,"authors":406,"venue":355,"cited_by_count":131,"oa_url":352,"card":412,"direction":416,"ingested_from":138},"W7214974109",[407,409],{"name":408,"orcid":9},"Rusanara Akhter",{"name":410,"orcid":411},"Md Zahidul Islam","https:\u002F\u002Forcid.org\u002F0000-0002-4868-4945",{"tldr":413,"method":414,"finding":415,"direction":416,"opportunity":417},"用深度学习对水稻叶片颜色分级，并结合多模态大模型实时推荐氮肥用量。","Paddy Net 1.2万张增强叶片图像，训练Custom CNN、VGG16","Custom CNN分类准确率达97.55%，显著优于VGG16（78.89%）和Efficient","农业人工智能与决策模型","可探索轻量化模型部署到手机端，并结合多源农情数据提升跨品种、跨区域推荐泛化能力。","2026-10-01T23:30:59.367113Z",{"id":420,"title":421,"url":422,"summary":423,"summary_zh":424,"content":9,"source_name":10,"source_url":422,"published_at":425,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":202,"score_detail":426,"sources":428,"tags":430,"primary_topic":433,"secondary_topics":434,"classification":436,"search_phrases":457,"slug":460,"view_count":180,"doi":461,"paper":462,"created_at":474},2920,"Breeding rice for optimal maturity across diverse sowing windows under future climate change scenarios in Chongqing area","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1899019","Introduction It is of great significance to optimize rice cultivars for different sowing dates under future climate change for rice sustainable production in Chongqing. Methods In this study, using the APSIM-Rice model and Coupled Model Intercomparison Project Phase 6 (CMIP6) Shared Socioeconomic Pathways (SSP) scenarios, we investigated the changes of yield, water consumption and water use efficiency (WUE) across six sowing dates and three cultivars (early, normal and late-maturing cultivars) under baseline period (1981 – 2010) and future climate 2scenarios (2031-2100, SSP2-4.5 and SSP5-8.5). In this study, the climate model BCC-CSM2-MR was selected due to its reliable simulation of China’s climate and compatibility with the APSIM-Rice model. Results Results showed that rice yield with normal cultivar in the baseline period peaked on March 30, with the value of 6,310 kg ha− −1 , and reached its minimum on March 1, with the value of 4,580 kg ha− −1 . Water consumption during the rice growing period increased with the delayed sowing dates (212 mm on March 1 to 276 mm on April 20). The response trend of water use efficiency (WUE) to different sowing dates was identical to that of yield, with the maximum WUE of 23.30 kg ha− −1 mm −1 achieved when sown on March 30. Under future SSP2-4.5 and SSP5-8.5 scenarios, early sowing (March 1–20) consistently enhanced yield and WUE for normal cultivars (maximum increments were 25.40% and 29.00% for yield and WUE), while late sowing (March 30–April 20) caused severe losses (up to 26.90% and 34.60% for yield and WUE for April 10 under SSP5-8.5 in the 2060s), with water consumption rising across all sowing dates. Early-maturing cultivars reduced yield (10.60%–44.60%) and WUE (7.70%–43.90%) across all sowing dates under future scenarios, whereas late-maturing cultivars synergized with early sowing to boost yield (up to 25.62%) and WUE (up to 32.85%) but exacerbated losses for late sowing, with water consumption increasing significantly (up to 56.30% under SSP5-8.5 in the 2060s). Discussion These findings provide critical scientific support for optimizing sowing date and cultivar combinations, thereby enhancing the climate resilience and sustainability of rice production in Chongqing and similar subtropical monsoon regions. However, in the future, more climate models, extreme climate impacts, and agronomic factors should be considered","引言 优化不同播期下的水稻品种对重庆未来气候变化背景下的水稻可持续生产具有重要意义。方法 本研究利用APSIM-Rice模型和耦合模式比较计划第六阶段（CMIP6）共享社会经济路径（SSP）情景，研究了基准期（1981—2010年）和未来气候情景（2031—2100年，SSP2-4.5和SSP5-8.5）下6个播期和3个品种（早熟、中熟和晚熟品种）的产量、耗水量和水分利用效率（WUE）变化。本研究选择气候模式BCC-CSM2-MR，因其对中国气候的模拟可靠且与APSIM-Rice模型兼容。结果 结果表明，基准期中熟品种水稻产量在3月30日达到峰值，为6 310 kg ha⁻¹，在3月1日降至最低，为4 580 kg ha⁻¹。水稻生育期耗水量随播期推迟而增加（3月1日的212 mm增至4月20日的276 mm）。水分利用效率（WUE）对不同播期的响应趋势与产量一致，3月30日播种时WUE最高，为23.30 kg ha⁻¹ mm⁻¹。在未来SSP2-4.5和SSP5-8.5情景下，早播（3月1—20日）持续提高中熟品种的产量和WUE（产量和WUE的最大增幅分别为25.40%和29.00%），而晚播（3月30日—4月20日）造成严重损失（在2060年代SSP5-8.5情景下，4月10日播种的产量和WUE损失分别高达26.90%和34.60%），且所有播期的耗水量均增加。在未来情景下，早熟品种在所有播期均降低产量（10.60%—44.60%）和WUE（7.70%—43.90%），而晚熟品种与早播协同提高产量（最高25.62%）和WUE（最高32.85%），但加剧了晚播的损失，耗水量显著增加（在2060年代SSP5-8.5情景下最高达56.30%）。讨论 这些发现为优化播期和品种组合提供了关键科学支撑，从而增强重庆及类似亚热带季风区水稻生产的气候韧性和可持续性。然而，未来应考虑更多气候模式、极端气候影响和农艺因素。","2026-09-18T00:00:00Z",{"impact":153,"substance":296,"depth":19,"authority":20,"freshness":64,"relevant":22,"comment":427},"基于APSIM-Rice与CMIP6情景模拟重庆水稻播期与品种组合，数据扎实、结论对区域气候适应性育种有参考价值，但属细分领域研究，影响力有限。",[429],{"name":10,"url":422},[302,27,74,431,432],"品种选育","播期优化",{"code":33,"slug":34,"name":27,"path":35,"parent_code":36},[435],{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"status":51,"locked":14,"version":52,"method":53,"evidence":437},{"candidates":438,"agricultural_evidence":57},[439,444,448,453],{"code":45,"score":19,"supported":57,"title":440,"abstract":441,"tags":443},[76],[74,76,442],"climate resilience",[74],{"code":33,"score":17,"supported":57,"title":445,"abstract":446,"tags":447},[34],[27,34],[27],{"code":449,"score":22,"supported":14,"title":450,"abstract":451,"tags":452},"F1",[],[],[431],{"code":241,"score":22,"supported":14,"title":454,"abstract":455,"tags":456},[],[],[302],[458,459],"APSIM-Rice 水稻 播期","重庆 水稻 品种 气候","APSIM-Rice水稻播期-2920","10.3389\u002Ffsufs.2026.1899019",{"doi":461,"openalex_id":463,"authors":464,"venue":10,"cited_by_count":131,"oa_url":422,"card":469,"direction":416,"ingested_from":138},"W7213555399",[465,467],{"name":466,"orcid":9},"Jianzhao Tang",{"name":468,"orcid":9},"Jianping Zhang",{"tldr":470,"method":471,"finding":472,"direction":416,"opportunity":473},"用APSIM-Rice与CMIP6情景模拟重庆不同播期和品种水稻产量、耗水与水分利用效率。","APSIM-Rice模型结合CMIP6 SSP2-4.5\u002FSSP5-8.5情景及","未来早播配晚熟品种可增产提效，晚播则大幅减产，各播期耗水均上升。","可引入多模型集合、极端气候与氮肥管理等农艺因素，优化播期-品种组合的适应策略。","2026-09-19T23:30:08.567885Z",{"id":476,"title":477,"url":478,"summary":479,"summary_zh":480,"content":9,"source_name":10,"source_url":478,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":481,"score_detail":482,"sources":484,"tags":486,"primary_topic":491,"secondary_topics":492,"classification":494,"search_phrases":514,"slug":517,"view_count":402,"doi":518,"paper":519,"created_at":543},2126,"Reduced potassium fertilization combined with magnesium application improves rice population quality and regulates grain yield and quality","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1921807","Inroduction Sichuan is a major hybrid rice-producing region, where paddy soils commonly suffer from acidification and severe magnesium leaching, resulting in low available-Mg status. Excessive potassium application intensifies K-Mg absorption antagonism and exacerbates magnesium deficiency, while blind potassium reduction accelerates plant senescence and impairs rice yield and quality. Although magnesium participates in photosynthesis and assimilate translocation, little is known about the combined effects of reduced potassium fertilization and magnesium supplementation on rice growth and agronomic performance. Methods A two-year field experiment was conducted to examine rice yield, grain quality, and nutrient uptake under varying potassium-magnesium combinations, aiming to provide fertilization references for green rice production in Sichuan hilly regions. A two-factor split-plot design was employed, with three potassium rates (0, 120, and 180 kg\u002F ha, denoted K0, K1, and K2) as main plots and three magnesium rates (0, 30, and 60 kg\u002Fha, denoted M0, M1, and M2) as sub-plots. Leaf area index, dry matter accumulation, chlorophyll content, yield components, and grain quality traits were assessed in this study. Results The results showed that the K1 treatment significantly improved grain yield, with relatively better comprehensive performance observed under the K1M2 combination. Averaged across 2 years, K1 increased grain yield by 26.55% relative to K0 and exhibited comparable yield to K2. Under K1, the M2 treatment further increased yield by 6.21% relative to M1. Moreover, K1M2 significantly enhanced leaf area index and chlorophyll content, while improving milling and appearance quality and reducing grain chalkiness and amylose content. Discussion These findings offer a theoretical and practical basis for improving rice yield and grain quality and promoting green, high-quality and efficient rice cultivation in the hilly regions of Sichuan.","引言 四川是杂交水稻主产区，稻田土壤普遍存在酸化与镁素淋溶严重的问题，导致土壤有效镁含量偏低。过量施钾会加剧钾镁吸收拮抗，加重镁素缺乏，而盲目减钾则会加速植株衰老，损害水稻产量与品质。尽管镁参与光合作用与同化物转运，但关于减钾配施镁对水稻生长及农艺性状的联合效应尚不清楚。方法 通过两年田间试验，研究不同钾镁配施组合下水稻产量、稻米品质及养分吸收特征，旨在为四川丘陵区水稻绿色生产提供施肥参考。采用两因素裂区设计，以3个钾水平（0、120、180 kg\u002Fha，记为K0、K1、K2）为主区，3个镁水平（0、30、60 kg\u002Fha，记为M0、M1、M2）为裂区。本研究测定了叶面积指数、干物质积累量、叶绿素含量、产量构成因素及稻米品质性状。结果 结果表明，K1处理显著提高籽粒产量，其中K1M2组合综合表现相对较优。两年平均而言，K1较K0使籽粒产量提高26.55%，且产量与K2相当。在K1条件下，M2处理较M1进一步增产6.21%。此外，K1M2显著提高叶面积指数与叶绿素含量，同时改善碾磨品质与外观品质，降低籽粒垩白度与直链淀粉含量。讨论 这些研究结果为提高水稻产量与稻米品质、促进四川丘陵区水稻绿色优质高效栽培提供了理论与实践依据。",76,{"impact":17,"substance":18,"depth":359,"authority":20,"freshness":13,"relevant":22,"comment":483},"两年田间试验数据扎实，为四川丘陵区水稻减钾配镁施肥提供实证参考，但属区域性栽培技术研究，产业影响有限。",[485],{"name":10,"url":478},[27,487,488,489,490],"科学施肥","绿色种植","钾镁配施","四川丘陵",{"code":33,"slug":34,"name":27,"path":35,"parent_code":36},[493],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"status":51,"locked":14,"version":52,"method":53,"evidence":495},{"candidates":496,"agricultural_evidence":57},[497,501,506,510],{"code":33,"score":19,"supported":57,"title":498,"abstract":499,"tags":500},[34],[27,60,381,34,61],[27],{"code":39,"score":17,"supported":57,"title":502,"abstract":504,"tags":505},[503],"fertilization",[67,503],[487],{"code":96,"score":180,"supported":57,"title":507,"abstract":508,"tags":509},[],[99],[],{"code":103,"score":22,"supported":14,"title":511,"abstract":512,"tags":513},[],[],[488],[515,516],"四川丘陵 科学施肥 绿色种植 钾镁配施","四川丘陵 科学施肥","四川丘陵科学施肥绿色种植钾镁配施-2126","10.3389\u002Ffsufs.2026.1921807",{"doi":518,"openalex_id":520,"authors":521,"venue":10,"cited_by_count":131,"oa_url":478,"card":538,"direction":136,"ingested_from":138},"W7212147499",[522,524,526,528,530,532,534,536],{"name":523,"orcid":9},"Jianming Ding",{"name":525,"orcid":9},"Xiaotian Jiang",{"name":527,"orcid":9},"Ran Wang",{"name":529,"orcid":9},"Keyuan Zhang",{"name":531,"orcid":9},"Lubing Jia",{"name":533,"orcid":9},"Yuetong Mo",{"name":535,"orcid":9},"Rongping Zhang",{"name":537,"orcid":9},"Peng Ma",{"tldr":539,"method":540,"finding":541,"direction":136,"opportunity":542},"研究减钾配施镁对四川丘陵水稻产量和品质的影响。","两年田间裂区试验，设3个钾水平和3个镁水平。","减钾至120 kg\u002Fha配施60 kg\u002Fha镁可增产并改善稻米品质。","可探究减钾配镁下土壤-植株镁钾互作机制及适宜区域阈值。","2026-09-11T23:30:07.632874Z"]