[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3607":3,"related-3607":112},{"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":38,"classification":50,"search_phrases":85,"slug":88,"view_count":89,"doi":90,"paper":91,"created_at":111},3607,"Analysis of drought carry-over effect on apple trees using the Leafiness-LiDAR index","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.biosystemseng.2026.104603","Apple trees ( Malus × domestica Borkh.) are widely grown in Mediterranean regions, where drought-induced irrigation restrictions can impair canopy development and productivity. This study assessed the Leafiness-LiDAR Index (LLI), derived from terrestrial Light Detection and Ranging (LiDAR) point clouds, as a proxy for Leaf Area Index (LAI) and as a non-destructive indicator of canopy response and recovery following water deficit. An ‘Opal®’ apple orchard was monitored over three growing seasons (2023–2025), encompassing one drought year and two recovery years. In 2023, full irrigation (FI; 480 mm) was compared with deficit irrigation (DI; 300 mm; 37.5% less water) under two planting densities (0.5 and 1.0 m tree spacing). Mixed-effects models revealed significant Year × Irrigation interactions for LAI (p = 0.006) and LLI (p \u003C 0.001), but not for yield (p = 0.654), suggesting a partial decoupling between structural and productive recovery. During the drought year, DI reduced LLI by 37% and yield by 47%. Following irrigation restoration, LLI differences persisted, particularly in 2024, indicating lasting structural effects of water deficit. Higher planting density promoted canopy recovery and increased yield. LLI proved to be a valuable, non-destructive estimator of LAI for detecting drought legacy effects and tracking canopy recovery, supporting precision orchard management under Mediterranean water scarcity.","苹果树（Malus × domestica Borkh.）广泛种植于地中海地区，该地区因干旱导致的灌溉限制会损害树冠发育和生产力。本研究评估了基于地面激光雷达（LiDAR）点云衍生的叶量-激光雷达指数（Leafiness-LiDAR Index, LLI）作为叶面积指数（Leaf Area Index, LAI）的替代指标，以及作为水分亏缺后树冠响应与恢复的非破坏性指标的可行性。对一个‘Opal®’苹果园进行了三个生长季（2023—2025年）的监测，涵盖一个干旱年和两个恢复年。2023年，在两种种植密度（株距0.5 m和1.0 m）下，比较了充分灌溉（FI；480 mm）与亏缺灌溉（DI；300 mm；减少37.5%水量）。混合效应模型显示，LAI（p = 0.006）和LLI（p \u003C 0.001）存在显著的年×灌溉交互作用，而产量（p = 0.654）则无此交互作用，表明结构与产量恢复之间存在部分脱耦。在干旱年，DI使LLI降低37%，产量降低47%。灌溉恢复后，LLI差异持续存在，尤其在2024年，表明水分亏缺具有持久的结构性影响。较高的种植密度促进了树冠恢复并提高了产量。LLI被证明是一种有价值的、非破坏性的LAI估算指标，可用于检测干旱遗留效应并追踪树冠恢复，为地中海水资源短缺条件下的精准果园管理提供支持。",null,"Biosystems Engineering","2026-09-26T00:00:00Z","论文",10,false,77,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},15,22,18,14,8,1,"地中海苹果园三年试验证实LiDAR叶量指数可无损监测干旱遗留效应与冠层恢复，方法新颖、数据扎实，对果园精准灌溉有参考价值。",[25],{"name":10,"url":6},[27,28,29,30,31],"智慧农业","苹果","遥感","果园管理","精准灌溉",{"code":33,"slug":34,"name":35,"path":36,"parent_code":37},"B2","fruit","果树","\u002Ftopic\u002Fhorticulture\u002Ffruit","B",[39,45],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},"H3","irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",{"code":46,"slug":47,"name":48,"path":49,"parent_code":44},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"status":51,"locked":14,"version":52,"method":53,"evidence":54},"classified","2026-10-22.2","rules",{"candidates":55,"agricultural_evidence":57},[56,63,69,75,80],{"code":33,"score":19,"supported":57,"title":58,"abstract":60,"tags":62},true,[59],"apple",[35,28,61,59],"orchard",[28],{"code":46,"score":20,"supported":57,"title":64,"abstract":66,"tags":68},[65],"drought",[67,65],"干旱",[],{"code":40,"score":13,"supported":57,"title":70,"abstract":71,"tags":74},[],[72,73,41],"灌溉","水资源",[31],{"code":76,"score":22,"supported":14,"title":77,"abstract":78,"tags":79},"I1",[],[],[27],{"code":81,"score":22,"supported":14,"title":82,"abstract":83,"tags":84},"I3",[],[],[29],[86,87],"LiDAR 苹果园 干旱","Leafiness-LiDAR Index 苹果","LiDAR苹果园干旱-3607",4,"10.1016\u002Fj.biosystemseng.2026.104603",{"doi":90,"openalex_id":92,"authors":93,"venue":10,"cited_by_count":103,"oa_url":6,"card":104,"direction":108,"ingested_from":110},"W7214458453",[94,97,100],{"name":95,"orcid":96},"Leire Sandonís-Pozo","https:\u002F\u002Forcid.org\u002F0000-0003-2472-0259",{"name":98,"orcid":99},"José Antonio Martínez-Casasnovas","https:\u002F\u002Forcid.org\u002F0000-0003-1480-3632",{"name":101,"orcid":102},"Miquel Pascual","https:\u002F\u002Forcid.org\u002F0000-0002-3329-4207",0,{"tldr":105,"method":106,"finding":107,"direction":108,"opportunity":109},"用LiDAR叶量指数追踪苹果园干旱遗留效应与冠层恢复。","三年果园试验，地面LiDAR点云提取LLI，混合效应模型分析。","亏缺灌溉使LLI降37%、产量降47%，复水后结构差异仍持续。","农业遥感与作物表型","可探索LLI与多源遥感融合，构建果园干旱遗留效应早期预警与精准补灌决策模型。","openalex","2026-09-27T23:30:09.907348Z",{"total":113,"page":22,"page_size":113,"items":114},6,[115,183,276,382,441,534],{"id":116,"title":117,"url":118,"summary":119,"summary_zh":9,"content":9,"source_name":120,"source_url":9,"published_at":121,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":122,"score_detail":123,"sources":126,"tags":128,"primary_topic":132,"secondary_topics":137,"classification":140,"search_phrases":169,"slug":172,"view_count":160,"doi":9,"paper":173,"created_at":182},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":18,"substance":124,"depth":19,"authority":20,"freshness":113,"relevant":22,"comment":125},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。",[127],{"name":120,"url":118},[27,129,130,31,131],"水稻","气候适应","三江平原",{"code":133,"slug":134,"name":129,"path":135,"parent_code":136},"A1","rice","\u002Ftopic\u002Ffield-crops\u002Frice","A",[138,139],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"code":46,"slug":47,"name":48,"path":49,"parent_code":44},{"status":51,"locked":14,"version":52,"method":53,"evidence":141},{"candidates":142,"agricultural_evidence":57},[143,148,152,158,165],{"code":133,"score":144,"supported":57,"title":145,"abstract":146,"tags":147},20,[129,134],[129],[129],{"code":40,"score":144,"supported":57,"title":149,"abstract":150,"tags":151},[72,41],[72],[31],{"code":46,"score":153,"supported":57,"title":154,"abstract":156,"tags":157},12,[155],"气候变化",[155],[130],{"code":159,"score":160,"supported":57,"title":161,"abstract":162,"tags":164},"H8",3,[],[163],"sustainable agriculture",[],{"code":76,"score":22,"supported":14,"title":166,"abstract":167,"tags":168},[],[],[27],[170,171],"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":174,"venue":9,"cited_by_count":103,"oa_url":9,"card":175,"direction":179,"ingested_from":181},[],{"tldr":176,"method":177,"finding":178,"direction":179,"opportunity":180},"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":184,"title":185,"url":186,"summary":187,"summary_zh":188,"content":9,"source_name":189,"source_url":186,"published_at":190,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":191,"score_detail":192,"sources":195,"tags":197,"primary_topic":201,"secondary_topics":202,"classification":204,"search_phrases":256,"slug":259,"view_count":103,"doi":9,"paper":260,"created_at":275},5312,"Agricultural Production under Climate Change in Afghanistan: Impacts, Challenges and Adaptation Options (A Review)","https:\u002F\u002Fesrj.edu.af\u002Fesrj\u002Farticle\u002Fview\u002F123","Climate change poses serious challenges to agriculture in Afghanistan, a country largely dependent on rainfed farming and highly vulnerable to water scarcity, drought, and temperature extremes. Understanding the impacts of climate variability and identifying effective adaptation strategies are essential to sustain agricultural productivity and ensure food security. This systematic review synthesizes empirical, modeling, and review studies on climate change effects on Afghan agriculture, assesses adaptation measures, and integrates regional experiences from Pakistan, Iran, Tajikistan, and Uzbekistan. A structured literature search was conducted using peer-reviewed articles, institutional reports, and regional studies published between 2000 and 2025. Studies were selected based on relevance to Afghan agro-ecological systems, climate stressors, and adaptation strategies. We extracted data using a structured table format following PRISMA guidelines, combining national and regional evidence. Findings indicate that water scarcity, prolonged drought, rising temperatures, and erratic precipitation are the main stressors affecting major crops, including wheat, barley, chickpea, maize, and cotton. Yield reductions ranged from 12% to 25% across provinces. Adaptation strategies such as Climate-Smart Agriculture (CSA), efficient irrigation (drip and sprinkler), rainwater harvesting, mulching, and drought- or heat-tolerant crop varieties were most effective. Regional evidence confirms the transferability of these measures under similar agro-climatic conditions. In conclusion, climate change significantly threatens agricultural productivity in Afghanistan. Evidence-based adaptation strategies, supported by coordinated policy and capacity-building initiatives, can enhance resilience, protect rural livelihoods, and ensure sustainable food security.","气候变化对阿富汗农业构成严峻挑战，该国农业在很大程度上依赖雨养耕作，极易受到水资源短缺、干旱和极端温度的影响。理解气候变异的影响并确定有效的适应策略，对于维持农业生产力和保障粮食安全至关重要。本系统综述综合了关于气候变化对阿富汗农业影响的实证研究、模拟研究和综述研究，评估了适应措施，并整合了巴基斯坦、伊朗、塔吉克斯坦和乌兹别克斯坦的区域经验。采用结构化文献检索方法，检索了2000年至2025年间发表的同行评审论文、机构报告和区域研究。研究依据其与阿富汗农业生态系统、气候胁迫因子和适应策略的相关性进行筛选。我们遵循PRISMA指南，采用结构化表格格式提取数据，综合了国家层面和区域层面的证据。研究结果表明，水资源短缺、持续干旱、气温上升和降水不稳定是影响主要作物（包括小麦、大麦、鹰嘴豆、玉米和棉花）的主要胁迫因子。各省产量降幅在12%至25%之间。气候智慧型农业（CSA）、高效灌溉（滴灌和喷灌）、雨水收集、覆盖栽培以及耐旱或耐热作物品种等适应策略最为有效。区域证据证实了这些措施在相似农业气候条件下的可推广性。总之，气候变化显著威胁阿富汗的农业生产力。以协调政策和能力建设举措为支撑的循证适应策略能够增强韧性、保护农村生计并确保可持续的粮食安全。","ESRJ","2026-10-16T00:00:00Z",73,{"impact":19,"substance":144,"depth":193,"authority":153,"freshness":113,"relevant":22,"comment":194},17,"系统综述整合2000-2025年证据，量化减产12%-25%并提出可迁移的适应策略，对区域农业气候韧性研究有参考价值，但非国内三农政策或产业事件，时效性一般。",[196],{"name":189,"url":186},[27,198,155,199,200],"粮食安全","适应性策略","水资源短缺",{"code":46,"slug":47,"name":48,"path":49,"parent_code":44},[203],{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},{"status":51,"locked":14,"version":52,"method":53,"evidence":205},{"candidates":206,"agricultural_evidence":57},[207,212,217,224,231,238,245,250],{"code":46,"score":19,"supported":57,"title":208,"abstract":210,"tags":211},[209],"climate change",[155,67,209,65],[155],{"code":40,"score":213,"supported":57,"title":214,"abstract":215,"tags":216},9,[],[72,73,41],[],{"code":218,"score":219,"supported":57,"title":220,"abstract":221,"tags":223},"A8",7,[],[198,222],"food security",[198],{"code":225,"score":113,"supported":57,"title":226,"abstract":227,"tags":230},"A2",[],[228,229],"小麦","wheat",[],{"code":232,"score":113,"supported":57,"title":233,"abstract":234,"tags":237},"A3",[],[235,236],"玉米","maize",[],{"code":239,"score":113,"supported":57,"title":240,"abstract":241,"tags":244},"A6",[],[242,243],"棉花","cotton",[],{"code":76,"score":89,"supported":57,"title":246,"abstract":247,"tags":249},[],[248],"smart agriculture",[27],{"code":251,"score":160,"supported":57,"title":252,"abstract":253,"tags":255},"H6",[],[254],"农业生态",[],[257,258],"阿富汗 气候变化","气候智慧型农业 灌溉","阿富汗气候变化-5312",{"doi":9,"openalex_id":261,"authors":262,"venue":189,"cited_by_count":103,"oa_url":186,"card":269,"direction":179,"ingested_from":110},"W7222907396",[263,265,267],{"name":264,"orcid":9},"Mohammad Shafiq Faieq",{"name":266,"orcid":9},"Mustafa Abid",{"name":268,"orcid":9},"Abdul khalil Afghani",{"tldr":270,"method":271,"finding":272,"direction":273,"opportunity":274},"系统综述气候变化对阿富汗农业的影响、挑战与适应策略。","按PRISMA检索2000-2025年文献，整合阿富汗及周边四国区域证据。","水资源短缺与干旱致主要作物减产12%-25%，气候智慧型农业与节水灌溉最有效。","农业绿色发展与碳","可研究气候智慧型农业措施在阿富汗及周边干旱区的本地化适配与推广机制。","2026-10-19T23:30:11.285828Z",{"id":277,"title":278,"url":279,"summary":280,"summary_zh":281,"content":9,"source_name":282,"source_url":279,"published_at":283,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":284,"score_detail":285,"sources":288,"tags":290,"primary_topic":295,"secondary_topics":296,"classification":304,"search_phrases":352,"slug":355,"view_count":103,"doi":356,"paper":357,"created_at":381},4989,"Advances in micro-irrigation and supplementary irrigation in millets of dryland ecosystems","https:\u002F\u002Fdoi.org\u002F10.14719\u002Fpst.16312","Dryland ecosystems cover approximately 41 % of the Earth's terrestrial surface and support nearly two billion people. This review synthesises recent advances in micro-irrigation and supplementary irrigation strategies for enhancing millet productivity and resilience in dryland ecosystems. Drylands are characterised by low and erratic rainfall, high evapotranspiration, poor soil fertility and frequent drought stress, making agricultural production vulnerable to climate variability and water scarcity. Millets are drought-tolerant, climate-resilient cereals cultivated in dryland agroecosystems. Despite their resilience, millet productivity remains constrained by increasing rainfall variability, prolonged intra-seasonal dry spells and rising atmospheric aridity associated with climate change. Evidence from semi-arid and arid regions indicates that micro-irrigation systems, including drip, subsurface drip and micro-sprinkler irrigation, significantly improve yield and biomass accumulation compared to conventional surface irrigation methods. These irrigation systems also enhance water use efficiency (WUE) and nutrient use efficiency (NUE), making them highly suitable for millet production in dryland ecosystems. The integration of fertigation further improves nutrient synchronisation with crop demand, reduces leaching losses and supports soil fertility. The review also highlights optimised irrigation scheduling based on evapotranspiration, soil moisture thresholds, deficit irrigation principles and sensor-based automation. Smart irrigation technologies incorporating soil moisture sensors and Internet of Things (IoT)-based control systems show strong potential to enhance precision water management and reduce water consumption by up to 30–35 %. Their adoption, supported by technological innovation, policy frameworks and location-specific research, will promote sustainable water management and resource-use efficiency in millet-based dryland ecosystems. Future research should focus on optimising irrigation scheduling, smart technologies and cost-effective solutions for water-limited environments.","旱地生态系统约占地球陆地表面的41%，支撑着近20亿人口。本文综述了微灌与补充灌溉策略在提升旱地生态系统中小米生产力与恢复力方面的最新进展。旱地降水少且不稳定、蒸散量大、土壤肥力低、干旱胁迫频繁，使农业生产易受气候变率和缺水的影响。小米是种植于旱地农业生态系统中的耐旱、气候适应型谷物。尽管具有恢复力，小米生产力仍受降雨变率增大、季节性持续干旱期延长以及气候变化相关的大气干燥度上升的制约。来自半干旱和干旱地区的证据表明，与传统地面灌溉方式相比，微灌系统（包括滴灌、地下滴灌和微喷灌）显著提高了产量和生物量积累。这些灌溉系统还提高了水分利用效率（WUE）和养分利用效率（NUE），使其非常适合旱地生态系统中的小米生产。水肥一体化（fertigation）的整合进一步改善了养分与作物需求的同步性，减少了淋失损失，并有助于维持土壤肥力。本文还重点介绍了基于蒸散量、土壤水分阈值、亏缺灌溉原则和基于传感器的自动化的优化灌溉制度。结合土壤水分传感器和基于物联网（IoT）控制系统的智能灌溉技术，在提升精准水分管理和减少高达30%–35%的用水量方面展现出巨大潜力。在技术创新、政策框架和因地制宜研究的支持下，这些技术的采用将促进以小米为基础的旱地生态系统中的可持续水分管理和资源利用效率。未来研究应聚焦于优化灌溉制度、智能技术以及面向水资源受限环境的成本效益解决方案。","Plant Science Today","2026-10-14T00:00:00Z",76,{"impact":19,"substance":144,"depth":193,"authority":286,"freshness":21,"relevant":22,"comment":287},13,"系统综述微灌与补充灌溉提升旱地谷子产量与水肥效率，含物联网智能灌溉节水30-35%等实质结论，对旱作智慧农业有参考价值。",[289],{"name":282,"url":279},[27,291,292,293,294],"农业物联网","旱作农业","节水灌溉","谷子高粱",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[297,303],{"code":298,"slug":299,"name":300,"path":301,"parent_code":302},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot","I",{"code":46,"slug":47,"name":48,"path":49,"parent_code":44},{"status":51,"locked":14,"version":52,"method":53,"evidence":305},{"candidates":306,"agricultural_evidence":57},[307,313,320,324,331,338,344,348],{"code":40,"score":308,"supported":57,"title":309,"abstract":310,"tags":312},19,[41],[72,73,41,311],"evapotranspiration",[292,293],{"code":298,"score":13,"supported":57,"title":314,"abstract":315,"tags":319},[],[316,317,318],"物联网","internet of things","IoT",[291],{"code":46,"score":213,"supported":57,"title":321,"abstract":322,"tags":323},[],[155,130,67,209,65],[],{"code":325,"score":113,"supported":57,"title":326,"abstract":327,"tags":330},"F3",[],[328,329],"水肥一体化","fertigation",[],{"code":332,"score":113,"supported":57,"title":333,"abstract":334,"tags":337},"H2",[],[335,336],"土壤","soil",[],{"code":339,"score":160,"supported":57,"title":340,"abstract":341,"tags":343},"A5",[],[342],"millet",[],{"code":251,"score":160,"supported":57,"title":345,"abstract":346,"tags":347},[],[254],[],{"code":76,"score":22,"supported":14,"title":349,"abstract":350,"tags":351},[],[],[27],[353,354],"微灌 补充灌溉 旱地 谷子","智慧灌溉 水分利用效率 谷子","微灌补充灌溉旱地谷子-4989","10.14719\u002Fpst.16312",{"doi":356,"openalex_id":358,"authors":359,"venue":282,"cited_by_count":103,"oa_url":375,"card":376,"direction":179,"ingested_from":110},"W7221796668",[360,363,366,369,372],{"name":361,"orcid":362},"M Megha","https:\u002F\u002Forcid.org\u002F0009-0006-7303-6946",{"name":364,"orcid":365},"N Vadivel","https:\u002F\u002Forcid.org\u002F0000-0002-5301-5324",{"name":367,"orcid":368},"P. Kannan","https:\u002F\u002Forcid.org\u002F0000-0001-7003-3535",{"name":370,"orcid":371},"P. Ayyadurai","https:\u002F\u002Forcid.org\u002F0000-0003-1889-6047",{"name":373,"orcid":374},"PD Rathinasamy","https:\u002F\u002Forcid.org\u002F0000-0001-8793-3513","https:\u002F\u002Fhorizonepublishing.com\u002Fjournals\u002Findex.php\u002FPST\u002Farticle\u002Fdownload\u002F16312\u002F16748",{"tldr":377,"method":378,"finding":379,"direction":179,"opportunity":380},"综述旱地微灌与补充灌溉提升小米产量与水分利用效率的研究进展。","综述滴灌、地下滴灌、微喷及水肥一体化、传感器与IoT智能灌溉技术。","微灌显著提高小米产量、WUE和NUE，智能灌溉可节水30–35%。","可研究低成本IoT灌溉决策模型在小米旱地的本地化适配与长期效应。","2026-10-15T23:30:08.971713Z",{"id":383,"title":384,"url":385,"summary":386,"summary_zh":387,"content":9,"source_name":388,"source_url":385,"published_at":389,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":390,"score_detail":391,"sources":394,"tags":396,"primary_topic":398,"secondary_topics":399,"classification":400,"search_phrases":420,"slug":423,"view_count":22,"doi":424,"paper":425,"created_at":440},2155,"Bridging canopy light interception and absorption: Toward a multi-scale radiometric framework for precision irrigation in woody crops","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.srs.2026.100505",": Optimizing irrigation in orchards is increasingly challenged by climatic variability, water scarcity, and structural heterogeneity, requiring indicators that robustly link canopy architecture with transpiration and energy exchange processes. The fraction of intercepted photosynthetically active radiation (fIPAR) is widely used in agronomy to characterize canopy structure and radiation interception, whereas the fraction of absorbed PAR (fAPAR) is more commonly used in remote sensing, yet their relationship and relevance for orchard irrigation remain insufficiently clarified. This review critically examines the theoretical foundations, methodological developments, and irrigation applications of Canopy Light Interception in woody crops over the past three decades. We synthesize empirical formulations, geometric approaches, radiative transfer modelling, and advances in proximal and remote sensing, including hemispherical photography, LiDAR platforms, unmanned aerial vehicles, and satellite-derived products. The conditions under which fIPAR approximates fAPAR are examined, revealing that their divergence is more relevant in discontinuous orchard systems than in homogeneous canopies. We evaluate how Canopy Light Interception supports evapotranspiration estimation, crop coefficient refinement, and irrigation scheduling, while emphasizing that it constrains potential radiative demand rather than directly representing physiological regulation of transpiration. Despite substantial methodological progress, inconsistent terminology, heterogeneous protocols, and limited cross-validation across scales hinder comparability and deployment. We suggest a multi-scale framework in which fIPAR is a structural–radiative constraint on potential canopy water demand. This is embedded within integrated sensing and irrigation decision systems. We argue that clarifying the conceptual boundary between fIPAR and fAPAR is essential for translating canopy radiation assessments into decision-support tools for water-efficient orchard management under increasing climatic pressure.","果园灌溉优化正日益受到气候变异性、水资源短缺和结构异质性的挑战，亟需能够稳健地将冠层结构与蒸腾及能量交换过程联系起来的指标。截获光合有效辐射比例（fIPAR）在农学中被广泛用于表征冠层结构和辐射截获，而吸收光合有效辐射比例（fAPAR）则更常用于遥感领域，但二者之间的关系及其对果园灌溉的相关性仍未被充分阐明。本文综述了过去三十年间木本作物冠层光截获的理论基础、方法学发展及灌溉应用。我们综合了经验公式、几何方法、辐射传输模型以及近地和遥感技术的进展，包括半球摄影、LiDAR平台、无人机和卫星衍生产品。本文考察了fIPAR近似fAPAR的条件，揭示出二者的差异在不连续的果园系统中比在均质冠层中更为显著。我们评估了冠层光截获如何支持蒸散估算、作物系数优化和灌溉调度，同时强调其约束的是潜在辐射需求，而非直接表征蒸腾的生理调控。尽管方法学取得了实质性进展，但术语不一致、方案异质性和跨尺度交叉验证有限等问题阻碍了可比性和实际部署。我们提出一个多尺度框架，其中fIPAR作为冠层潜在水分需求的结构-辐射约束，并将其嵌入集成传感与灌溉决策系统。我们认为，厘清fIPAR与fAPAR之间的概念边界，对于将冠层辐射评估转化为在日益增大的气候压力下实现节水型果园管理的决策支持工具至关重要。","Science of Remote Sensing","2026-09-08T00:00:00Z",79,{"impact":19,"substance":392,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":393},21,"该综述系统梳理了木本作物冠层光截获与吸收的遥感方法，提出多尺度辐射框架以支撑精准灌溉决策，方法学新颖且对果园水分管理有直接指导价值，值得进入每日精选。",[395],{"name":388,"url":385},[27,29,30,31,397],"冠层光截获",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[],{"status":51,"locked":14,"version":52,"method":53,"evidence":401},{"candidates":402,"agricultural_evidence":57},[403,407,412,416],{"code":40,"score":19,"supported":57,"title":404,"abstract":405,"tags":406},[41],[72,73,41,311],[31],{"code":81,"score":219,"supported":57,"title":408,"abstract":409,"tags":411},[],[29,410],"remote sensing",[29],{"code":33,"score":160,"supported":57,"title":413,"abstract":414,"tags":415},[],[61],[],{"code":76,"score":22,"supported":14,"title":417,"abstract":418,"tags":419},[],[],[27],[421,422],"冠层光截获 智慧农业 果园管理 精准灌溉","冠层光截获 智慧农业","冠层光截获智慧农业果园管理精准灌溉-2155","10.1016\u002Fj.srs.2026.100505",{"doi":424,"openalex_id":426,"authors":427,"venue":388,"cited_by_count":103,"oa_url":434,"card":435,"direction":179,"ingested_from":110},"W7211970568",[428,431],{"name":429,"orcid":430},"Mohamed Ibrahim Belaid","https:\u002F\u002Forcid.org\u002F0009-0002-9327-4598",{"name":432,"orcid":433},"Jaume Casadesús","https:\u002F\u002Forcid.org\u002F0000-0001-7036-8212","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS2666017226001434\u002Fpdf",{"tldr":436,"method":437,"finding":438,"direction":108,"opportunity":439},"综述木质作物冠层光截获与吸收关系，提出多尺度辐射框架支撑精准灌溉。","综述三十年经验公式、辐射传输模型及半球摄影、LiDAR、无人机、卫星遥感。","fIPAR与fAPAR在离散果园差异显著，fIPAR应作为潜在需水约束而非蒸腾调控。","可研究果园fIPAR-fAPAR跨尺度转换模型，并耦合遥感与灌溉决策系统验证。","2026-09-11T23:30:17.628726Z",{"id":442,"title":443,"url":444,"summary":445,"summary_zh":446,"content":9,"source_name":447,"source_url":444,"published_at":448,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":449,"score_detail":450,"sources":453,"tags":455,"primary_topic":459,"secondary_topics":460,"classification":467,"search_phrases":504,"slug":507,"view_count":103,"doi":508,"paper":509,"created_at":533},1603,"Organically enriched water from an integrated agri-aquaculture system enhances antioxidant defense and secondary metabolism in blackberry (Rubus ulmifolius cv. Tupy)","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1927797","Introduction Integrated agri-aquaculture systems can improve water-use efficiency and nutrient recycling in semiarid and arid regions increasingly affected by climate change; however, the physiological responses of fruit crops to aquaculture-derived irrigation water remain poorly understood. This study evaluated the growth, photosynthetic status, and biochemical responses of blackberry ( Rubus ulmifolius cv. Tupy) irrigated with organically enriched water from an integrated tilapia–blackberry system operated under geodesic-dome conditions in semidesert central Mexico. Methods Four irrigation treatments were compared: a conventional nutrient solution, unsupplemented tilapia-culture effluent, tilapia-culture effluent supplemented with mineral nutrients, and well water adjusted to the same pH as the fertilized treatments. Plant growth traits, leaf greenness, normalized difference vegetation index, antioxidant enzyme activities, total phenolic compounds, and flavonoids were monitored for 216 h after irrigation began. Results and discussion Plants irrigated with supplemented tilapia-culture effluent maintained growth and canopy greenness comparable to those receiving the conventional nutrient solution. In contrast, unsupplemented tilapia-culture effluent and well water induced stronger antioxidant and secondary-metabolic responses, particularly in superoxide dismutase and catalase activities and in the temporal dynamics of phenolic compounds and flavonoids, whereas phenylalanine ammonia-lyase showed a weaker and later response. These patterns suggest that mineral-supplemented effluent primarily supported vegetative performance, whereas unsupplemented effluent was associated with a nutritional elicitation response potentially related to relative nutrient limitation and biologically active components in the effluent. During the 216-h evaluation period, unsupplemented effluent maintained plant performance comparable to that under the fertilized treatments, suggesting that aquaculture-derived water may reduce mineral-fertilizer inputs during specific crop stages. Because the experiment was short-term, no conclusions can be drawn regarding long-term productivity, fruit quality, or sustained plant responses. Overall, the findings support the potential of integrated agri-aquaculture systems as a water-smart approach for blackberry cultivation in water-limited semidesert environments.","引言 综合农业-水产养殖系统可提高半干旱和干旱地区（日益受气候变化影响）的水分利用效率和养分循环利用；然而，果树作物对水产养殖源灌溉水的生理响应仍知之甚少。本研究评估了在墨西哥中部半沙漠地区测地穹顶条件下，以罗非鱼-黑莓综合系统产生的有机富集水灌溉黑莓（Rubus ulmifolius cv. Tupy）时的生长、光合状态及生化响应。方法 比较了四种灌溉处理：常规营养液、未补充矿质营养的罗非鱼养殖废水、补充矿质营养的罗非鱼养殖废水，以及与施肥处理调节至相同pH值的水井水。在灌溉开始后的216小时内，监测了植株生长性状、叶片绿色度、归一化差异植被指数、抗氧化酶活性、总酚类化合物及黄酮类化合物。结果与讨论 以补充矿质营养的罗非鱼养殖废水灌溉的植株，其生长和冠层绿色度与接受常规营养液的植株相当。相比之下，未补充矿质营养的罗非鱼养殖废水和井水诱导了更强的抗氧化和次生代谢响应，尤其是超氧化物歧化酶和过氧化氢酶活性以及酚类化合物和黄酮类化合物的时间动态变化，而苯丙氨酸解氨酶则表现出较弱且较迟的响应。这些模式表明，补充矿质营养的废水主要支持营养生长性能，而未补充矿质营养的废水则与营养激发响应相关，该响应可能涉及相对养分限制及废水中生物活性成分的作用。在216小时的评估期内，未补充矿质营养的废水维持的植株性能与施肥处理相当，表明水产养殖源水可在特定作物阶段减少矿质肥料投入。由于本实验为短期研究，无法就长期生产力、果实品质或植株持续响应得出结论。总体而言，研究结果支持综合农业-水产养殖系统作为水资源有限半沙漠环境中黑莓种植的水智能型方法的潜力。","Frontiers in Sustainable Food Systems","2026-09-03T00:00:00Z",66,{"impact":153,"substance":19,"depth":451,"authority":286,"freshness":219,"relevant":22,"comment":452},16,"研究探索鱼菜共生系统灌溉黑莓的生理响应，为半干旱地区节水农业提供新思路，但属短期试验，影响有限。",[454],{"name":447,"url":444},[27,456,293,457,458],"水产养殖","循环农业","黑莓",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[461,466],{"code":325,"slug":462,"name":463,"path":464,"parent_code":465},"fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers","F",{"code":46,"slug":47,"name":48,"path":49,"parent_code":44},{"status":51,"locked":14,"version":52,"method":53,"evidence":468},{"candidates":469,"agricultural_evidence":57},[470,477,481,488,492,496,500],{"code":471,"score":17,"supported":57,"title":472,"abstract":474,"tags":476},"D",[473],"aquaculture",[475,473],"水产",[456],{"code":40,"score":13,"supported":57,"title":478,"abstract":479,"tags":480},[],[72,73,41],[293],{"code":325,"score":213,"supported":57,"title":482,"abstract":483,"tags":487},[],[484,485,486],"施肥","肥料","fertilizer",[],{"code":46,"score":213,"supported":57,"title":489,"abstract":490,"tags":491},[],[155,67,209],[],{"code":33,"score":160,"supported":57,"title":493,"abstract":494,"tags":495},[],[35],[],{"code":159,"score":22,"supported":14,"title":497,"abstract":498,"tags":499},[],[],[457],{"code":76,"score":22,"supported":14,"title":501,"abstract":502,"tags":503},[],[],[27],[505,506],"循环农业 智慧农业 水产养殖 节水灌溉","循环农业 智慧农业","循环农业智慧农业水产养殖节水灌溉-1603","10.3389\u002Ffsufs.2026.1927797",{"doi":508,"openalex_id":510,"authors":511,"venue":447,"cited_by_count":103,"oa_url":444,"card":528,"direction":179,"ingested_from":110},"W7207518495",[512,515,517,519,521,524,526],{"name":513,"orcid":514},"Priscila Sarai Flores-Aguilar","https:\u002F\u002Forcid.org\u002F0000-0001-5708-4960",{"name":516,"orcid":9},"Ireri A. Carbajal-Valenzuela",{"name":518,"orcid":9},"Carlos Olvera-Olvera",{"name":520,"orcid":9},"Genaro Martin Soto-Zarazúa",{"name":522,"orcid":523},"Gobinath Chandrakasan","https:\u002F\u002Forcid.org\u002F0000-0002-3919-3677",{"name":525,"orcid":9},"Edgar Rivas-Araiza",{"name":527,"orcid":9},"Jose L. Gonzalez-Cordoba",{"tldr":529,"method":530,"finding":531,"direction":179,"opportunity":532},"研究罗非鱼-黑莓综合养殖系统中有机富集水对黑莓生长和生理的影响。","比较四种灌溉处理，监测生长、光合、抗氧化酶和次生代谢物。","补充矿物质的养殖废水维持生长，未补充的诱导抗氧化和次生代谢响应，可减少化肥。","长期效应和果实品质未知，可研究养殖废水灌溉对黑莓产量和品质的长期影响及机制。","2026-09-04T23:30:07.706501Z",{"id":535,"title":536,"url":537,"summary":538,"summary_zh":539,"content":9,"source_name":282,"source_url":537,"published_at":540,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":390,"score_detail":541,"sources":543,"tags":545,"primary_topic":548,"secondary_topics":549,"classification":556,"search_phrases":603,"slug":606,"view_count":103,"doi":607,"paper":608,"created_at":629},5564,"Dynamic thermal imaging for crop water stress detection across phenological stages: Enhancing irrigation scheduling precision","https:\u002F\u002Fdoi.org\u002F10.14719\u002Fpst.17728","Thermal remote sensing and derived indices such as the crop water stress index (CWSI) can assess crop water status and support precision irrigation. However, most operational and artificial intelligence (AI)-based approaches rely on fixed, season-long thresholds to interpret canopy–air temperature differences and often overlook the influence of crop phenology. This review synthesises evidence from grapevine, wheat, maize, potato and several other crops on how developmental stage affects the non-water-stressed baseline (NWSB), CWSI thresholds and irrigation-scheduling algorithms. It covers CWSI theory and estimation practices; crop-specific, phenology-dependent behaviour of baselines and thresholds; a comparison of threshold-based, machine learning, Internet of Things (IoT), digital twin and Food and Agriculture Organization (FAO)-56 approaches with respect to crop phenology; and a conceptual framework for phenology-aware scheduling. Across the reviewed crops, baseline behaviour generally varied systematically across the growing season, the relationship between CWSI and crop water status generally strengthened after canopy closure and CWSI measured during reproductive stages was generally most closely related to yield. A quantitative audit of 56 AI-, thermal-imaging-, or CWSI-based studies found that 78.6 % either did not explicitly incorporate crop phenology or relied on day of year as a temporal proxy, whereas only 5.4 % explicitly encoded phenological stage. The proposed framework considers phenology explicitly in baseline estimation, threshold setting and data fusion or machine learning for irrigation scheduling; the framework will require multi-year, multi-site field validation before operational use. Future research should prioritise standardised phenology definitions and long-term, multi-location studies to establish and validate stage-specific parameters.","热红外遥感及其衍生的作物水分胁迫指数（crop water stress index, CWSI）等指标可评估作物水分状况并支持精准灌溉。然而，大多数业务化方法和基于人工智能（artificial intelligence, AI）的方法依赖固定的全生育期阈值来解释冠层—空气温差，且往往忽视作物物候的影响。本文综述了葡萄、小麦、玉米、马铃薯及其他若干作物在发育阶段如何影响非水分胁迫基线（non-water-stressed baseline, NWSB）、CWSI阈值和灌溉调度算法的相关证据。综述内容涵盖CWSI理论与估算实践；基线和阈值的作物特异性、物候依赖性行为；基于阈值、机器学习、物联网（Internet of Things, IoT）、数字孪生及联合国粮农组织（Food and Agriculture Organization, FAO）-56等方法在作物物候方面的比较；以及物候感知调度的概念框架。在所综述的作物中，基线行为在整个生长季通常呈系统性变化，CWSI与作物水分状况之间的关系在冠层封垄后总体增强，且在生殖阶段测得的CWSI与产量的关系总体最为密切。对56项基于AI、热成像或CWSI的研究进行的定量审查发现，78.6%的研究要么未明确纳入作物物候，要么依赖年积日作为时间代理变量，而仅5.4%的研究明确编码了物候阶段。所提出的框架在基线估算、阈值设定以及用于灌溉调度的数据融合或机器学习中明确考虑物候；该框架在投入业务应用前尚需多年、多站点的田间验证。未来研究应优先建立标准化的物候定义，并开展长期、多地点研究以建立和验证阶段特异性参数。","2026-10-21T00:00:00Z",{"impact":19,"substance":18,"depth":19,"authority":153,"freshness":213,"relevant":22,"comment":542},"系统综述热成像与CWSI在物候期感知灌溉中的应用，含56项研究量化审计，方法学价值突出，但属综述类论文，影响偏学术层面。",[544],{"name":282,"url":537},[27,546,29,547,31],"农业人工智能","作物水分胁迫",{"code":40,"slug":41,"name":42,"path":43,"parent_code":44},[550,555],{"code":551,"slug":552,"name":553,"path":554,"parent_code":302},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai",{"code":298,"slug":299,"name":300,"path":301,"parent_code":302},{"status":51,"locked":14,"version":52,"method":53,"evidence":557},{"candidates":558,"agricultural_evidence":57},[559,563,570,574,580,584,588,592,598],{"code":40,"score":17,"supported":57,"title":560,"abstract":561,"tags":562},[41],[72,41],[31],{"code":551,"score":13,"supported":57,"title":564,"abstract":565,"tags":569},[],[566,567,568],"机器学习","machine learning","artificial intelligence",[546],{"code":298,"score":213,"supported":57,"title":571,"abstract":572,"tags":573},[],[316,317,318],[],{"code":76,"score":219,"supported":57,"title":575,"abstract":576,"tags":579},[],[577,578],"数字孪生","digital twin",[27],{"code":81,"score":219,"supported":57,"title":581,"abstract":582,"tags":583},[],[29,410],[29],{"code":225,"score":113,"supported":57,"title":585,"abstract":586,"tags":587},[],[228,229],[],{"code":232,"score":113,"supported":57,"title":589,"abstract":590,"tags":591},[],[235,236],[],{"code":339,"score":113,"supported":57,"title":593,"abstract":594,"tags":597},[],[595,596],"马铃薯","potato",[],{"code":33,"score":160,"supported":57,"title":599,"abstract":600,"tags":602},[],[601],"葡萄",[],[604,605],"热成像 作物水分胁迫","CWSI 灌溉调度","热成像作物水分胁迫-5564","10.14719\u002Fpst.17728",{"doi":607,"openalex_id":609,"authors":610,"venue":282,"cited_by_count":103,"oa_url":537,"card":624,"direction":179,"ingested_from":110},"W7223088921",[611,614,617,620,621],{"name":612,"orcid":613},"R M Jeya","https:\u002F\u002Forcid.org\u002F0009-0001-3621-8533",{"name":615,"orcid":616},"P. C. Prabu","https:\u002F\u002Forcid.org\u002F0000-0002-7237-9481",{"name":618,"orcid":619},"K P Ragunath","https:\u002F\u002Forcid.org\u002F0000-0002-7851-4437",{"name":367,"orcid":368},{"name":622,"orcid":623},"P. M. Shanmugam","https:\u002F\u002Forcid.org\u002F0000-0002-6706-8419",{"tldr":625,"method":626,"finding":627,"direction":108,"opportunity":628},"综述物候期对热成像CWSI阈值的影响，提出物候感知灌溉调度框架。","综述葡萄、小麦、玉米等作物的热遥感CWSI研究，并审计56项AI\u002F热成像研究。","78.6%研究未显式纳入物候，仅5.4%编码物候期；CWSI与产量在生殖期关联最强。","可开展多站点多年物候期特异性CWSI阈值标定与标准化物候定义研究。","2026-10-22T11:20:24.526683Z"]