[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-1211":3,"related-1211":90},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":6,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":22,"tags":24,"primary_topic":30,"secondary_topics":35,"classification":42,"search_phrases":71,"slug":74,"view_count":19,"doi":75,"paper":76,"created_at":89},1211,"A map-based decision-support framework for variable-depth seeding of fodder maize integrating proximal soil sensing and multi-temporal satellite NDVI data","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11119-026-10437-3","A map-based decision-support framework for variable-depth seeding of fodder maize integrating proximal soil sensing and multi-temporal satellite NDVI data。Precision Agriculture",null,"Precision Agriculture","2026-08-25T00:00:00Z","论文",10,false,70,{"impact":16,"substance":17,"depth":18,"authority":16,"freshness":19,"relevant":20,"comment":21},15,20,18,2,1,"论文提出结合土壤传感与卫星NDVI的变量播种决策框架，方法新颖，数据可靠，但时效性较低。",[23],{"name":9,"url":6},[25,26,27,28,29],"智慧农业","玉米","精准农业","遥感","土壤传感",{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},"A3","maize","\u002Ftopic\u002Ffield-crops\u002Fmaize","A",[36],{"code":37,"slug":38,"name":39,"path":40,"parent_code":41},"H2","soil","土壤健康与改良","\u002Ftopic\u002Fenvironment\u002Fsoil","H",{"status":43,"locked":13,"version":44,"method":45,"evidence":46},"classified","2026-10-22.2","rules",{"candidates":47,"agricultural_evidence":50},[48,54,59,66],{"code":31,"score":49,"supported":50,"title":51,"abstract":52,"tags":53},12,true,[32],[32],[26],{"code":37,"score":55,"supported":50,"title":56,"abstract":57,"tags":58},11,[38],[38],[],{"code":60,"score":61,"supported":50,"title":62,"abstract":63,"tags":65},"I1",5,[],[64],"precision agriculture",[25,27],{"code":67,"score":20,"supported":13,"title":68,"abstract":69,"tags":70},"I3",[],[],[28],[72,73],"土壤传感 智慧农业 精准农业 玉米","土壤传感 智慧农业","土壤传感智慧农业精准农业玉米-1211","10.1007\u002Fs11119-026-10437-3",{"doi":75,"openalex_id":77,"authors":78,"venue":9,"cited_by_count":87,"oa_url":8,"card":8,"direction":8,"ingested_from":88},"W7204189193",[79,81,84],{"name":80,"orcid":8},"Jialu Sun",{"name":82,"orcid":83},"Manuel Vázquez-Arellano","https:\u002F\u002Forcid.org\u002F0000-0001-7820-5143",{"name":85,"orcid":86},"Abdul Mounem Mouazen","https:\u002F\u002Forcid.org\u002F0000-0002-0354-0067",0,"openalex","2026-09-01T04:03:03.736293Z",{"total":91,"page":20,"page_size":91,"items":92},6,[93,167,264,345,386,439],{"id":94,"title":95,"url":96,"summary":97,"summary_zh":8,"content":8,"source_name":9,"source_url":96,"published_at":98,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":99,"score_detail":100,"sources":105,"tags":107,"primary_topic":111,"secondary_topics":112,"classification":120,"search_phrases":145,"slug":148,"view_count":91,"doi":149,"paper":150,"created_at":166},3523,"Soil-driven variability in crop response to variable-rate seeding and fertilization in an irrigated maize–sunflower system","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11119-026-10458-y","Soil-driven variability in crop response to variable-rate seeding and fertilization in an irrigated maize–sunflower system。Precision Agriculture","2026-09-25T00:00:00Z",69,{"impact":49,"substance":18,"depth":101,"authority":102,"freshness":103,"relevant":20,"comment":104},17,14,8,"精准农业核心期刊论文，探讨土壤空间变异对变量播种与施肥效果的影响，方法新颖、结论可靠，对智慧农业田间管理有参考价值，但属细分领域研究，影响范围有限。",[106],{"name":9,"url":96},[25,108,26,27,109,110],"变量施肥","向日葵","变量播种",{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},[113,119],{"code":114,"slug":115,"name":116,"path":117,"parent_code":118},"F3","fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers","F",{"code":37,"slug":38,"name":39,"path":40,"parent_code":41},{"status":43,"locked":13,"version":44,"method":45,"evidence":121},{"candidates":122,"agricultural_evidence":50},[123,127,132,136,140],{"code":31,"score":49,"supported":50,"title":124,"abstract":125,"tags":126},[32],[32],[26],{"code":114,"score":49,"supported":50,"title":128,"abstract":130,"tags":131},[129],"fertilization",[129],[108],{"code":37,"score":55,"supported":50,"title":133,"abstract":134,"tags":135},[38],[38],[],{"code":60,"score":61,"supported":50,"title":137,"abstract":138,"tags":139},[],[64],[25,27],{"code":141,"score":20,"supported":13,"title":142,"abstract":143,"tags":144},"A4",[],[],[109],[146,147],"Precision Agriculture 变量播种 变量施肥","灌溉玉米 向日葵 土壤变异","PrecisionAgriculture变量播种变量施肥-3523","10.1007\u002Fs11119-026-10458-y",{"doi":149,"openalex_id":151,"authors":152,"venue":9,"cited_by_count":87,"oa_url":8,"card":8,"direction":8,"ingested_from":88},"W7214357812",[153,156,158,160,162,164],{"name":154,"orcid":155},"María Videgain","https:\u002F\u002Forcid.org\u002F0000-0002-3630-7931",{"name":157,"orcid":8},"J. A. Martínez-Casasnovas",{"name":159,"orcid":8},"S. Artero",{"name":161,"orcid":8},"A. Vigo",{"name":163,"orcid":8},"M. Vidal",{"name":165,"orcid":8},"F. J. García-Ramos","2026-09-26T23:30:03.127069Z",{"id":168,"title":169,"url":170,"summary":171,"summary_zh":172,"content":8,"source_name":9,"source_url":170,"published_at":98,"category":11,"cover_url":8,"hotness":12,"is_selected":50,"score":173,"score_detail":174,"sources":179,"tags":181,"primary_topic":185,"secondary_topics":186,"classification":188,"search_phrases":226,"slug":229,"view_count":91,"doi":230,"paper":231,"created_at":263},3525,"Multi-source data assimilation of Sentinel-2 reflectance and SMAP soil moisture into APSIM for maize biomass estimation","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11119-026-10442-6","Crop growth models (CGMs) are valuable tools for agricultural monitoring. However, the need for many input parameters, the uncertainties related to model parametrization and structure, and the lack of spatial information motivate the application of techniques such as data assimilation (DA). This paper proposes a DA framework to improve maize biomass estimation. A particle filter (PF) was used to assimilate remotely sensed reflectance and soil moisture (SM) data, both independently and simultaneously, into the Agricultural Production Systems sIMulator (APSIM) model. Reflectance observations from Sentinel-2 were assimilated through coupling APSIM with the radiative transfer model (RTM) PROSAIL, while SMAP L-band SM products were directly assimilated into APSIM. The synthetic experiment, designed to evaluate the reliability of the proposed procedure, highlighted the strength of assimilating reflectance to constrain crop traits and of SM to provide complementary information on crop water status and to contribute to more robust ensemble trajectories. Real-case results confirmed these findings. DA assimilation of SM proved valuable particularly under data gaps and drought conditions. Although it did not consistently surpass single-source assimilation strategies, the joint assimilation yielded consistent results, especially in 2023, where RMSE, nRMSE and bias were 1258.83 kg\u002Fha, 16.62%, and - 220.52 kg\u002Fha, respectively. The proposed framework demonstrates the potential of multi-source DA to enhance biomass estimation and support robust, spatially explicit crop monitoring.","作物生长模型（CGM）是农业监测的重要工具。然而，其对大量输入参数的需求、模型参数化与结构相关的不确定性以及空间信息的缺乏，推动了数据同化（DA）等技术的应用。本文提出了一种数据同化框架，以改进玉米生物量估算。采用粒子滤波（PF）将遥感反射率和土壤水分（SM）数据分别独立及同时同化进入农业生产系统模拟器（APSIM）模型。Sentinel-2反射率观测数据通过将APSIM与辐射传输模型（RTM）PROSAIL耦合进行同化，而SMAP L波段土壤水分产品则直接同化进入APSIM。为评估所提方法可靠性而设计的合成实验，凸显了同化反射率在约束作物性状方面的优势，以及同化土壤水分在提供作物水分状况补充信息和促进更稳健集合轨迹方面的作用。实际案例结果证实了这些发现。土壤水分数据同化在数据缺失和干旱条件下尤为有价值。尽管联合同化未能持续超越单源同化策略，但其结果具有一致性，尤其在2023年，RMSE、nRMSE和偏差分别为1258.83 kg\u002Fha、16.62%和-220.52 kg\u002Fha。所提出的框架展示了多源数据同化在增强生物量估算和支持稳健、空间显式作物监测方面的潜力。",82,{"impact":18,"substance":175,"depth":176,"authority":102,"freshness":177,"relevant":20,"comment":178},22,19,9,"将Sentinel-2反射率与SMAP土壤水分同化进APSIM模型估算玉米生物量，方法新颖、结论可靠，对作物遥感监测有参考价值。",[180],{"name":9,"url":170},[25,26,182,183,184],"作物模型","遥感监测","数据同化",{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},[187],{"code":37,"slug":38,"name":39,"path":40,"parent_code":41},{"status":43,"locked":13,"version":44,"method":45,"evidence":189},{"candidates":190,"agricultural_evidence":50},[191,195,200,207,212,216,221],{"code":31,"score":16,"supported":50,"title":192,"abstract":193,"tags":194},[32],[26,32],[26],{"code":37,"score":102,"supported":50,"title":196,"abstract":197,"tags":199},[38],[198,38],"土壤",[],{"code":201,"score":91,"supported":50,"title":202,"abstract":203,"tags":206},"H7",[],[204,205],"干旱","drought",[],{"code":67,"score":208,"supported":50,"title":209,"abstract":210,"tags":211},4,[],[28],[183],{"code":60,"score":20,"supported":13,"title":213,"abstract":214,"tags":215},[],[],[25],{"code":217,"score":20,"supported":13,"title":218,"abstract":219,"tags":220},"I2",[],[],[182],{"code":222,"score":20,"supported":13,"title":223,"abstract":224,"tags":225},"I5",[],[],[184],[227,228],"Sentinel-2 SMAP APSIM 玉米生物量","多源数据同化 玉米 遥感","Sentinel-2SMAPAPSIM玉米生物量-3525","10.1007\u002Fs11119-026-10442-6",{"doi":230,"openalex_id":232,"authors":233,"venue":9,"cited_by_count":87,"oa_url":170,"card":257,"direction":261,"ingested_from":88},"W7214405444",[234,236,239,242,245,247,249,252,254],{"name":235,"orcid":8},"Manuela Montella",{"name":237,"orcid":238},"Christian Bossung","https:\u002F\u002Forcid.org\u002F0000-0003-4651-2645",{"name":240,"orcid":241},"Thanh Huy Nguyen","https:\u002F\u002Forcid.org\u002F0000-0003-2471-350X",{"name":243,"orcid":244},"Marco Chini","https:\u002F\u002Forcid.org\u002F0000-0002-9094-0367",{"name":246,"orcid":8},"Jean François Iffly",{"name":248,"orcid":8},"Thomas Udelhoven",{"name":250,"orcid":251},"Julia Kubanek","https:\u002F\u002Forcid.org\u002F0000-0001-9597-2029",{"name":253,"orcid":8},"Zoltan Szantoi",{"name":255,"orcid":256},"Miriam Machwitz","https:\u002F\u002Forcid.org\u002F0000-0002-4999-673X",{"tldr":258,"method":259,"finding":260,"direction":261,"opportunity":262},"将Sentinel-2反射率与SMAP土壤水分同化进APSIM模型，提升玉米生物量估算精度。","粒子滤波同化Sentinel-2反射率（经PROSAIL耦合）与SMAP土壤水分","联合同化结果稳健，2023年RMSE为1258.83 kg\u002Fha，nRMSE 16.62%，偏差-2","农业遥感与作物表型","可探索多源数据同化在数据缺失与干旱条件下的自适应权重策略，并推广至其他作物与区域。","2026-09-26T23:30:03.247019Z",{"id":265,"title":266,"url":267,"summary":268,"summary_zh":269,"content":8,"source_name":270,"source_url":267,"published_at":271,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":272,"score_detail":273,"sources":275,"tags":277,"primary_topic":281,"secondary_topics":282,"classification":289,"search_phrases":313,"slug":316,"view_count":317,"doi":318,"paper":319,"created_at":344},1383,"Pareto-front-based optimization of irrigation and nitrogen application schedule in Sandy-soil maize: Trade-offs among yield, water productivity, nitrogen physiological efficiency, and grain nitrogen concentration","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agsy.2026.104953","Context Developing appropriate irrigation and nitrogen application schedules (INASs) is essential for maize production on sandy soils, where low water-retention and nutrient-holding capacities make crop performance highly sensitive to within-season water and nitrogen management. However, most crop-model-based optimization studies have focused mainly on yield and resource-use efficiency, while grain nutritional quality and the economic qualifications of optimized schedules have received less attention. Objective This study aimed to develop a CERES-Maize–NSGA-III framework to optimize INASs for shallow-buried drip-irrigated maize on sandy soil, while clarifying trade-offs among yield, crop water productivity (WP c ), nitrogen physiological efficiency (PE N ), and grain nitrogen concentration (GNC), and evaluate the economic performance of selected candidate schedules through partial-budget analysis. Methods CERES-Maize was calibrated and validated using two years of field observations and then coupled with NSGA-III to optimize irrigation timing, irrigation amount, nitrogen application timing, and nitrogen rate. Pareto-optimal schedules were further evaluated through candidate-schedule selection, weather-year stress testing, and partial-budget economic sensitivity analysis. Results and conclusions CERES-Maize reproduced maize growth, yield, seasonal water use, and total nitrogen uptake with acceptable accuracy. The Pareto front revealed clear trade-offs among yield, WP c , PE N , and GNC. The 16 high-yield (HY) candidates selected using the historical farmer-yield benchmark exceeded the corresponding weather-matched farmer yield in all five annual simulations and maintained positive ΔPNR across all tested price–cost combinations. Among these candidates, HY01 showed the strongest combined yield and partial-budget performance, with the highest five-year mean simulated yield (12,003.2 kg\u002Fha) and the highest mean ΔPNR relative to the corresponding farmer-managed schedules (1307.83 yuan\u002Fha) across the tested weather-year and price–cost combinations. In contrast, the distance-to-utopia compromise schedule produced lower yield than the corresponding farmer-managed schedule in each weather year and showed weather- and price–cost-dependent economic performance. Significance The proposed framework provides a biophysical optimization tool for generating candidate INASs and clarifying trade-offs among yield, WP c , PE N , and GNC in sandy-soil maize. Weather variability was evaluated only through ex-post simulations of selected candidates and was not incorporated directly into the optimization. Further field-level, operational, economic, and environmental validation is therefore required before practical implementation.","背景 制定合理的灌溉与施氮方案（INASs）对砂质土壤上的玉米生产至关重要，因为砂质土壤的保水性和保肥能力较低，作物表现对季内水分和氮素管理高度敏感。然而，大多数基于作物模型的优化研究主要关注产量和资源利用效率，而籽粒营养品质及优化方案的经济可行性受到的关注较少。目的 本研究旨在构建CERES-Maize–NSGA-III耦合框架，优化砂质土壤浅埋滴灌玉米的灌溉与施氮方案，明确产量、作物水分生产力（WPc）、氮素生理效率（PEN）和籽粒氮浓度（GNC）之间的权衡关系，并通过部分预算分析评估所选候选方案的经济表现。方法 利用两年田间观测数据对CERES-Maize模型进行校准和验证，随后与NSGA-III算法耦合，优化灌溉时间、灌溉量、施氮时间和施氮量。对Pareto最优方案进一步开展候选方案筛选、天气年胁迫测试和部分预算经济敏感性分析。结果与结论 CERES-Maize模型能够以可接受的精度再现玉米生长、产量、季节性水分利用和总氮吸收量。Pareto前沿揭示了产量、WPc、PEN和GNC之间明显的权衡关系。以历史农户产量基准筛选出的16个高产（HY）候选方案在全部五个模拟年份中均超过了相应天气匹配的农户产量，并在所有测试的价格—成本组合下保持正的ΔPNR。在这些候选方案中，HY01表现出最强的产量和部分预算综合表现，其五年平均模拟产量最高（12,003.2 kg\u002Fha），且在测试的天气年和价格—成本组合下，相对于相应农户管理方案的平均ΔPNR最高（1,307.83元\u002Fha）。相比之下，距离理想点折中方案在每个天气年的产量均低于相应的农户管理方案，且其经济表现依赖于天气和价格—成本条件。意义 所提出的框架为砂质土壤玉米生成候选灌溉施氮方案并阐明产量、WPc、PEN和GNC之间的权衡关系提供了生物物理优化工具。天气变异性","Agricultural Systems","2026-09-02T00:00:00Z",80,{"impact":18,"substance":175,"depth":18,"authority":102,"freshness":103,"relevant":20,"comment":274},"研究提出CERES-Maize-NSGA-III框架优化沙土玉米水氮管理，兼顾产量、水氮效率与品质，方法新颖，结论可靠，对精准农业有参考价值。",[276],{"name":270,"url":267},[25,26,278,279,280],"水肥优化","多目标优化","模型模拟",{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},[283,284],{"code":37,"slug":38,"name":39,"path":40,"parent_code":41},{"code":285,"slug":286,"name":287,"path":288,"parent_code":41},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation",{"status":43,"locked":13,"version":44,"method":45,"evidence":290},{"candidates":291,"agricultural_evidence":50},[292,296,300,305,309],{"code":31,"score":16,"supported":50,"title":293,"abstract":294,"tags":295},[32],[26,32],[26],{"code":37,"score":102,"supported":50,"title":297,"abstract":298,"tags":299},[38],[198,38],[],{"code":285,"score":102,"supported":50,"title":301,"abstract":302,"tags":304},[286],[303,286],"灌溉",[],{"code":60,"score":20,"supported":13,"title":306,"abstract":307,"tags":308},[],[],[25],{"code":217,"score":20,"supported":13,"title":310,"abstract":311,"tags":312},[],[],[280],[314,315],"多目标优化 智慧农业 模型模拟 水肥优化","多目标优化 智慧农业","多目标优化智慧农业模型模拟水肥优化-1383",3,"10.1016\u002Fj.agsy.2026.104953",{"doi":318,"openalex_id":320,"authors":321,"venue":270,"cited_by_count":87,"oa_url":267,"card":338,"direction":342,"ingested_from":88},"W7205003045",[322,324,327,330,332,333,335,337],{"name":323,"orcid":8},"Yongqiang Wang",{"name":325,"orcid":326},"Fugui Wang","https:\u002F\u002Forcid.org\u002F0000-0002-8349-8398",{"name":328,"orcid":329},"Lanfang Bai","https:\u002F\u002Forcid.org\u002F0000-0001-7862-2844",{"name":331,"orcid":8},"Zhen Wang",{"name":331,"orcid":8},{"name":334,"orcid":8},"Haofang Yan",{"name":336,"orcid":8},"Zhigang Wang",{"name":336,"orcid":8},{"tldr":339,"method":340,"finding":341,"direction":342,"opportunity":343},"构建CERES-Maize-NSGA-III框架，优化沙土玉米灌溉施氮方案，权衡产量、水生产力、氮效","CERES-Maize模型与NSGA-III多目标优化，结合田间数据校准验证，并","高产候选方案在产量和经济效益上优于农民方案，但折中方案表现不稳定。","农业人工智能与决策模型","可探索将多目标优化与实时气象预测结合，开发动态灌溉施氮决策支持系统，兼顾产量、品质与经济效益。","2026-09-02T23:30:05.454493Z",{"id":346,"title":347,"url":348,"summary":349,"summary_zh":8,"content":350,"source_name":351,"source_url":8,"published_at":352,"category":353,"cover_url":8,"hotness":12,"is_selected":13,"score":354,"score_detail":355,"sources":359,"tags":361,"primary_topic":366,"secondary_topics":367,"classification":369,"search_phrases":381,"slug":384,"view_count":87,"doi":8,"paper":8,"created_at":385},5049,"河北省农林科学院滨海所举办盐碱地旱作农业示范观摩会 唐山丰南重度盐碱地改良后玉米亩产484.1公斤","https:\u002F\u002Fcnews.chinadaily.com.cn\u002Fa\u002F202610\u002F12\u002FWS6acc91e2e4b09a165c78ed7a.html","依托京津冀环境综合治理国家科技重大专项,河北省农林科学院滨海农业研究所聚焦耕层土壤盐分高、结构差、土壤肥力低等典型问题,在唐山市丰南区黑沿子镇示范基地开展盐碱地分区分类综合治理。曾经土壤含盐量超8‰的盐碱荒滩,通过暗管排盐、鼠道深翻、滴灌与有机培肥改良等\"下排+中阻+上改\"立体降盐模式,治理后耕层盐分降至3‰以下,2026年玉米现场测产亩产484.1公斤。","本次观摩会由河北省产业体系盐碱地改造利用综合试验站站长鲁雪林研究员主持。吴哲研究员向参会人员详细讲解耐盐改土植物绿色修复、生物有机肥培肥、“上改下排”、深翻耕鼠道暗管排盐等配套盐碱地改良技术体系，结合田间展板，对各项技术原理、实施要点和实际应用效果进行细致解读，参会人员深入田间实地察看作物长势，围绕盐碱地实际生产问题开展技术研讨交流。\n\n唐山市丰南区黑沿子镇示范基地曾经是盐碱荒滩，开垦之初土壤含盐量超过8‰，土质黏重、有机质匮乏，作物常年绝收。省农林科学院滨海农业研究所专家组实地调研研判，确立改土降盐、培肥地力核心目标，结合当地自然条件，制定分区分类分级综合开发利用方案。在高盐碱区域，应用暗管排盐技术，部分地块配套鼠道深翻，同时配套滴灌、有机培肥改良等绿色农艺措施，构建起“下排 中阻 上改” 立体降盐模式，加快盐分下渗。治理后耕层盐分降至 3‰以下，2026 年玉米现场测产亩产484.1 公斤。该体系可调控地下水位，有效改善强降雨季节田间积水、积涝问题，实现了盐碱改良、提质增产、防涝保收的多重治理成效。\n\n综合生态效益与改良成本，科研团队面向植被稀疏盐碱区域，构建耐盐植物生态改良技术路径。基于作物耐盐能力、改土效应综合筛选，种植了田菁、油葵等经济耐盐植物，规模200余亩。对比开垦初期玉米、高粱长势差、绝收的状况，当前地块植被长势旺盛，田菁平均亩鲜生物量1852公斤。监测表明，种植田菁一年后，根区土壤有机质提升至 8.52g\u002Fkg以上，耕作季根区盐分降至4.3‰以下。搭配有机培肥、滴灌等农艺措施，改良地块可满足耐盐高粱、油葵等作物种植。鉴于此，团队后续将继续试验田菁与高粱、油葵、油菜、玉米、小麦等多类型作物轮作，为盐碱地生态治理与资源化利用提供可复制的技术模式。","中国日报网 河北省农林科学院滨海农业研究所 2026年10月12日","2026-10-12T00:00:00Z","报道",75,{"impact":18,"substance":175,"depth":356,"authority":357,"freshness":91,"relevant":20,"comment":358},16,13,"省级科研机构盐碱地改良示范，含亩产484.1公斤等实测数据与技术体系细节，具行业参考价值。",[360],{"name":351,"url":348},[26,362,363,364,365],"土壤改良","盐碱地治理","暗管排盐","耐盐植物",{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},[368],{"code":37,"slug":38,"name":39,"path":40,"parent_code":41},{"status":43,"locked":13,"version":44,"method":45,"evidence":370},{"candidates":371,"agricultural_evidence":50},[372,377],{"code":37,"score":356,"supported":50,"title":373,"abstract":375,"tags":376},[374],"盐碱地",[198,374],[362,363],{"code":31,"score":49,"supported":50,"title":378,"abstract":379,"tags":380},[26],[26],[26],[382,383],"河北滨海所 盐碱地 玉米","唐山丰南 暗管排盐 田菁","河北滨海所盐碱地玉米-5049","2026-10-16T00:13:11.872759Z",{"id":387,"title":388,"url":389,"summary":390,"summary_zh":8,"content":8,"source_name":391,"source_url":8,"published_at":8,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":392,"score_detail":393,"sources":395,"tags":397,"primary_topic":400,"secondary_topics":401,"classification":402,"search_phrases":425,"slug":428,"view_count":19,"doi":8,"paper":429,"created_at":438},4477,"玉米生产精准农业系统综述：技术、应用与产量优化（2020—2026）","https:\u002F\u002Fm2.mtmt.hu\u002Fapi\u002Fpublication\u002F37500368","依据PRISMA 2020指南，系统检索Scopus与Web of Science共464篇文献，最终纳入129项研究；样本构成为田间试验（28.6%）、遥感与精准农业整合研究（25.5%）、机器学习应用（19.4%）、气候知情精准农业策略（23.4%）和土壤退化研究（3.1%）；研究表明精准农业技术通过定点管理和数据驱动决策支持，提升了玉米生产力、养分利用效率、水利用效率和产量预测准确性；指出采用精准农业仍受制于实施成本高、技术复杂、数据有限等因素。","Precision Agriculture in Maize Production Systematic Review 2026",74,{"impact":18,"substance":175,"depth":18,"authority":357,"freshness":317,"relevant":20,"comment":394},"基于PRISMA 2020的系统综述，纳入129项研究，数据规模与方法规范性强，对玉米精准农业技术路径与瓶颈有实质参考价值，但发布日期不明、时效性偏弱。",[396],{"name":391,"url":389},[25,398,399,26,27,28],"产量预测","机器学习",{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},[],{"status":43,"locked":13,"version":44,"method":45,"evidence":403},{"candidates":404,"agricultural_evidence":50},[405,409,413,417,421],{"code":60,"score":357,"supported":50,"title":406,"abstract":407,"tags":408},[27],[27],[25,27],{"code":31,"score":49,"supported":50,"title":410,"abstract":411,"tags":412},[26],[26],[26],{"code":67,"score":61,"supported":50,"title":414,"abstract":415,"tags":416},[],[28],[398,28],{"code":217,"score":208,"supported":50,"title":418,"abstract":419,"tags":420},[],[399],[399],{"code":37,"score":317,"supported":50,"title":422,"abstract":423,"tags":424},[],[198],[],[426,427],"玉米 精准农业 系统综述","玉米 遥感 机器学习 产量","玉米精准农业系统综述-4477",{"doi":8,"openalex_id":8,"authors":430,"venue":8,"cited_by_count":87,"oa_url":8,"card":431,"direction":435,"ingested_from":437},[],{"tldr":432,"method":433,"finding":434,"direction":435,"opportunity":436},"系统综述2020—2026年玉米精准农业技术、应用与产量优化研究。","按PRISMA 2020检索Scopus与WoS，纳入129项研究做分类分析。","精准农业通过定点管理与数据决策提升玉米产量、养分和水利用效率。","智慧农业 \u002F 农业物联网","成本高、技术复杂与数据不足制约推广，低成本轻量化方案与本地化数据共享是研究空白。","agent","2026-10-09T00:05:02.451957Z",{"id":440,"title":441,"url":442,"summary":443,"summary_zh":444,"content":8,"source_name":445,"source_url":442,"published_at":446,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":447,"score_detail":448,"sources":451,"tags":453,"primary_topic":457,"secondary_topics":458,"classification":460,"search_phrases":476,"slug":479,"view_count":87,"doi":480,"paper":481,"created_at":505},3997,"Amendment-assisted low-grade rock phosphate enhances maize productivity and phosphorus availability in contrasting soil orders","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1982290","Introduction Efficient phosphorus (P) management is essential for improving crop productivity while reducing dependence on energy-intensive, highly soluble P fertilisers. Low-grade rock phosphate (RP) is an underutilised, economical indigenous P source, but its agronomic effectiveness is often limited by low solubility and slow P release. This study evaluated the effectiveness of indigenous low-grade Udaipur rock phosphate (URP) amended with elemental sulphur (S) and phosphate-solubilising bacteria (PSB) for improving P availability, maize growth, yield and P-use efficiency in two contrasting soil orders, Alfisol and Vertisol. Methods A pot experiment comprising nine P management treatments, including single super phosphate (SSP), URP, PSB ( Burkholderia cenocepacia ) and S combinations was conducted under maize. Soil available P, plant height, number of leaves, leaf area index, dry matter accumulation, grain yield, P uptake, harvest index (HI), physiological P-use efficiency (PPUE) and P harvest index (PHI) were assessed. Results Across treatments, agronomic performance and soil P availability were consistently higher in the Vertisol compared to the Alfisol. Amendment-assisted URP improved grain yield by up to 68% over URP alone in Alfisol and 35% in Vertisol. Compared with 100% P through SSP, grain yield increased by 38.7% and 24.8% under URP 100 + S 25 + PSB 5 and by 42.7% and 21.0% under URP 150 + S 10 + PSB 5 in Alfisol and Vertisol, respectively. Both treatments maintained plant growth, dry matter production, grain yield, and P uptake comparable with SSP 150 + PSB 5 . Soil available P increased with P fertilisation, with URP 100 + S 25 + PSB 5 and URP 150 + S 10 + PSB 5 maintaining levels close to SSP 150 + PSB 5 and higher than URP alone. Despite these differences in P acquisition, PPUE, PHI and HI remained statistically similar, indicating that treatments improved overall P supply and biomass production proportionally rather than altering P partitioning efficiency. Discussion Overall, combining URP with PSB and S improved the agronomic effectiveness of a low-solubility P source and produced maize productivity comparable with a higher rate of soluble P fertiliser under controlled conditions. Efficient utilisation of indigenous low-grade RP through suitable solubilising amendments offers a promising approach for improving crop yield and sustainable nutrient management, with future scope for field-scale validation.","引言 高效的磷（P）管理对于提高作物生产力、同时减少对高能耗、高溶解度磷肥的依赖至关重要。低品位磷矿粉（RP）是一种尚未充分利用且经济可行的本土磷源，但其农艺有效性往往受限于低溶解度和磷释放缓慢。本研究评估了经元素硫（S）和溶磷细菌（PSB）改良的本土低品位乌代布尔磷矿粉（URP）在两种对比鲜明的土壤类型——淋溶土和变性土中提高磷有效性、玉米生长、产量及磷利用效率的效果。方法 在玉米上开展了一项盆栽试验，包含9个磷管理处理，涉及过磷酸钙（SSP）、URP、PSB（洋葱伯克霍尔德菌）及硫的组合。测定了土壤有效磷、株高、叶片数、叶面积指数、干物质积累、籽粒产量、磷吸收量、收获指数（HI）、生理磷利用效率（PPUE）和磷收获指数（PHI）。结果 在所有处理中，变性土的农艺表现和土壤磷有效性均 consistently 高于淋溶土。改良剂辅助的URP使淋溶土和变性土的籽粒产量较单施URP分别最高提高68%和35%。与100%磷通过SSP施用相比，在淋溶土和变性土中，URP 100 + S 25 + PSB 5处理的籽粒产量分别增加38.7%和24.8%，URP 150 + S 10 + PSB 5处理分别增加42.7%和21.0%。这两个处理在植株生长、干物质生产、籽粒产量和磷吸收方面均与SSP 150 + PSB 5相当。土壤有效磷随磷肥施用而增加，URP 100 + S 25 + PSB 5和URP 150 + S 10 + PSB 5处理的水平接近SSP 150 + PSB 5，且高于单施URP。尽管磷获取方面存在这些差异，但PPUE、PHI和HI在各处理间统计上保持相似，表明这些处理按比例提高了整体磷供应和生物量生产，而非改变磷分配效率。讨论 总体而言，将URP与PSB和硫结合提高了低溶解度磷源的农艺有效性，并在受控条件下产生了与较高用量可溶性磷肥相当的玉米生产力。通过适宜的增溶改良剂高效利用本土低品位磷矿粉，为提高作物产量和可持续养分管理提供了一种有前景的途径，未来有待田间规模的验证。","Frontiers in Sustainable Food Systems","2026-10-01T00:00:00Z",73,{"impact":102,"substance":449,"depth":101,"authority":357,"freshness":103,"relevant":20,"comment":450},21,"盆栽试验证明硫与解磷菌活化低品位磷矿粉可使玉米增产并媲美速效磷肥，对磷资源高效利用有参考价值，但尚属受控条件研究、缺乏田间验证，未达重大突破层级。",[452],{"name":445,"url":442},[26,362,454,455,456],"养分利用效率","磷肥减量","微生物菌剂",{"code":31,"slug":32,"name":26,"path":33,"parent_code":34},[459],{"code":37,"slug":38,"name":39,"path":40,"parent_code":41},{"status":43,"locked":13,"version":44,"method":45,"evidence":461},{"candidates":462,"agricultural_evidence":50},[463,467,471],{"code":31,"score":16,"supported":50,"title":464,"abstract":465,"tags":466},[32],[26,32],[26],{"code":37,"score":16,"supported":50,"title":468,"abstract":469,"tags":470},[38],[198,38],[362],{"code":114,"score":208,"supported":50,"title":472,"abstract":473,"tags":475},[],[474],"养分管理",[454],[477,478],"低品位磷矿粉 玉米 磷有效性","Udaipur 磷矿粉 解磷菌","低品位磷矿粉玉米磷有效性-3997","10.3389\u002Ffsufs.2026.1982290",{"doi":480,"openalex_id":482,"authors":483,"venue":445,"cited_by_count":87,"oa_url":442,"card":499,"direction":503,"ingested_from":88},"W7215093893",[484,486,488,490,493,496],{"name":485,"orcid":8},"Ankita Mohapatra",{"name":487,"orcid":8},"Girijaveni Venati",{"name":489,"orcid":8},"Cherukkumalli Srinivasa Rao",{"name":491,"orcid":492},"Gobinath Rajendran","https:\u002F\u002Forcid.org\u002F0000-0002-3077-0191",{"name":494,"orcid":495},"Sumanta Kundu","https:\u002F\u002Forcid.org\u002F0000-0002-7646-7040",{"name":497,"orcid":498},"Savitha Santosh","https:\u002F\u002Forcid.org\u002F0000-0002-9273-8111",{"tldr":500,"method":501,"finding":502,"direction":503,"opportunity":504},"低品位磷矿粉配施硫和溶磷菌可提升玉米产量与土壤磷有效性。","盆栽试验，两种土壤，9个磷管理处理，测产量与磷效率。","改良磷矿粉使玉米产量较单施磷矿粉提高68%（Alfisol）和35%（Vertisol），媲美可溶性","农业绿色发展与碳","可开展田间验证，并研究不同土壤类型下硫与溶磷菌配比的优化及长期效应。","2026-10-02T23:30:09.936274Z"]