[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3477":3,"related-3477":66},{"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,"search_phrases":32,"slug":35,"view_count":36,"doi":37,"paper":38,"created_at":65},3477,"Ratoon rice under a changing climate: Physiological responses and management strategies","https:\u002F\u002Fdoi.org\u002F10.14719\u002Fpst.16473","Ratoon rice has gained attention as a sustainable strategy for maintaining rice productivity under changing climatic conditions, where rising temperatures, irregular rainfall, droughts, floods and other extreme weather events threaten crop productivity and global food security. Ratoon rice has emerged as a resource efficient and climate smart production method as it makes use of the regenerative ability of plants to generate a second harvest from stubble of the main crop. Compared to conventional rice cultivation, ratoon rice requires less labor, reduced inputs and a shorter growing period while improving land, water and nutrient use efficiency. However, the physiological responses of rice plants to changing environmental conditions are important for the success of ratoon crops. Bud regeneration, carbohydrate reserve mobilisation, hormonal regulation, photosynthetic efficiency and source sink relationship play a critical role in determining ratoon establishment and yield under climatic stress. Ratoon rice is more resilient to heat, drought, flooding and other environmental challenges when the appropriate management techniques such as optimal stubble height, balanced nutrition, effective irrigation and plant growth regulators are used. Furthermore, improving soil health through organic amendments and beneficial microbial interactions contributes to greater stress tolerance and sustainable productivity. Ratoon rice production is still limited despite its potential due to automation issues, yield instability and climate related hazards. To enhance the adaptation under shifting climatic conditions, future research should concentrate on creating climate-resilient ratoon cultivars, precision nutrient and water management technologies and decision support systems. This review summarises the physiological response of ratoon rice to climate change and highlights effective management strategies that can enhance productivity, resource use efficiency and sustainability, thereby supporting resilient rice production and long term food security.","再生稻作为一种在气候变化条件下维持水稻生产力的可持续策略而受到关注，气温升高、降雨不规律、干旱、洪涝及其他极端天气事件正威胁作物生产力和全球粮食安全。再生稻已成为一种资源高效且气候智慧型的生产方式，因为它利用植物的再生能力，从主作物的稻桩上获得第二次收获。与传统水稻栽培相比，再生稻所需劳动力更少、投入更低、生育期更短，同时提高了土地、水分和养分利用效率。然而，水稻植株对环境条件变化的生理响应对于再生稻作的成功至关重要。在气候胁迫下，芽再生、碳水化合物储备动员、激素调控、光合效率及源库关系在决定再生稻建成和产量方面发挥着关键作用。当采用适宜的管理技术，如最佳留桩高度、平衡营养、有效灌溉和植物生长调节剂时，再生稻对高温、干旱、洪涝及其他环境挑战具有更强的适应力。此外，通过有机改良和有益微生物互作改善土壤健康，有助于提高抗逆性和可持续生产力。尽管再生稻生产潜力巨大，但由于自动化问题、产量不稳定及气候相关灾害，其发展仍然受限。为增强在不断变化的气候条件下的适应性，未来研究应集中于培育气候韧性再生稻品种、精准养分和水分管理技术及决策支持系统。本综述总结了再生稻对气候变化的生理响应，并重点介绍了能够提高生产力、资源利用效率和可持续性的有效管理策略，从而支持具有韧性的水稻生产和长期粮食安全。",null,"Plant Science Today","2026-09-23T00:00:00Z","论文",10,false,73,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},15,20,17,13,8,1,"综述系统梳理再生稻应对气候变化的生理机制与管理策略，专业性强但属学术综述，产业即时影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"智慧农业","粮食安全","再生稻","气候变化","水稻栽培",[33,34],"再生稻 气候变化 栽培管理","Plant Science Today 再生稻","再生稻气候变化栽培管理-3477",0,"10.14719\u002Fpst.16473",{"doi":37,"openalex_id":39,"authors":40,"venue":10,"cited_by_count":36,"oa_url":56,"card":57,"direction":63,"ingested_from":64},"W7214098380",[41,44,47,50,53],{"name":42,"orcid":43},"R Abirami","https:\u002F\u002Forcid.org\u002F0009-0002-8075-9908",{"name":45,"orcid":46},"R Vigneshwari","https:\u002F\u002Forcid.org\u002F0000-0002-4417-1034",{"name":48,"orcid":49},"K. Malarkodi","https:\u002F\u002Forcid.org\u002F0000-0002-8974-9389",{"name":51,"orcid":52},"N Sakthivel","https:\u002F\u002Forcid.org\u002F0009-0005-8248-3812",{"name":54,"orcid":55},"Koothan Vanitha","https:\u002F\u002Forcid.org\u002F0000-0001-8516-9275","https:\u002F\u002Fhorizonepublishing.com\u002Fjournals\u002Findex.php\u002FPST\u002Farticle\u002Fdownload\u002F16473\u002F16260",{"tldr":58,"method":59,"finding":60,"direction":61,"opportunity":62},"综述再生稻在气候变化下的生理响应与栽培管理策略，以提升产量与可持续性。","文献综述，聚焦再生芽、碳储备、激素、光合及源库关系等生理机制。","优化留桩高度、水肥与生长调节剂可增强再生稻抗逆性，但自动化与产量稳定性仍受限。","农业绿色发展与碳","可研发气候韧性再生稻品种及精准水肥决策支持系统，并探索微生物互作提升抗逆性。","智慧农业 \u002F 农业物联网","openalex","2026-09-25T23:30:11.458343Z",{"total":67,"page":22,"page_size":67,"items":68},6,[69,122,157,193,223,247],{"id":70,"title":71,"url":72,"summary":73,"summary_zh":74,"content":9,"source_name":75,"source_url":72,"published_at":76,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":77,"score_detail":78,"sources":82,"tags":84,"search_phrases":87,"slug":90,"view_count":36,"doi":91,"paper":92,"created_at":121},3169,"Climate change and the rising threat of Macrophomina phaseolina: implications for food security, food safety, and sustainable crop health management","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10725-026-01525-5","Abstract Macrophomina phaseolina is a destructive soil-borne necrotrophic fungal pathogen that causes substantial yield losses in a wide range of economically important crops worldwide. Disease severity is strongly enhanced under drought, high temperature, and salinity stress, conditions that are becoming increasingly prevalent under current climate change scenarios. This review examines the interactions between climate-driven abiotic stress, host physiological regulation, and pathogen aggressiveness, highlighting how stress-induced disruptions in hormonal signalling, reactive oxygen species homeostasis, antioxidant defence systems, and plant metabolism collectively increase susceptibility to M. phaseolina . Recent advances in understanding pathogen virulence mechanisms, plant immune responses, and resistance-associated molecular pathways are synthesised together with emerging evidence from transcriptomics, proteomics, metabolomics, and comparative genomics. The review further evaluates current management strategies, including host resistance, biological control, plant growth-promoting microorganisms, stress priming, and integrated disease management, while discussing their limitations under field conditions. Emerging technologies such as precision agriculture, remote sensing, artificial intelligence-assisted disease forecasting, and multi-omics approaches are highlighted as promising tools for improving early diagnosis, risk prediction, and climate-resilient disease management. By integrating advances in plant physiology, molecular biology, and sustainable crop protection, this review provides a comprehensive framework for understanding M. phaseolina pathogenesis under changing environmental conditions. It identifies key research priorities to improve crop resilience and safeguard global food security.","摘要 菜豆壳球孢（Macrophomina phaseolina）是一种具有破坏性的土传死体营养型真菌病原菌，在全球范围内对多种具有重要经济价值的作物造成严重产量损失。在干旱、高温和盐胁迫条件下，病害严重程度显著加剧，而这些条件在当前气候变化情景下正变得越来越普遍。本文综述了气候驱动的非生物胁迫、寄主生理调控与病原菌致病力之间的相互作用，重点阐述了胁迫诱导的激素信号传导紊乱、活性氧稳态失衡、抗氧化防御系统受损以及植物代谢改变如何共同增加对菜豆壳球孢的易感性。本文综合了病原菌毒力机制、植物免疫反应及抗性相关分子通路方面的最新研究进展，并结合转录组学、蛋白质组学、代谢组学和比较基因组学的新兴证据。本文进一步评估了当前的管理策略，包括寄主抗性、生物防治、植物促生微生物、胁迫 priming 和病害综合管理，同时讨论了这些策略在田间条件下的局限性。精准农业、遥感、人工智能辅助病害预测和多组学方法等新兴技术被重点介绍为改善早期诊断、风险预测和气候韧性病害管理的有前景的工具。通过整合植物生理学、分子生物学和可持续作物保护方面的进展，本文为理解变化环境条件下菜豆壳球孢的致病机制提供了综合框架，并确定了提高作物韧性和保障全球粮食安全的关键研究优先方向。","Plant Growth Regulation","2026-09-22T00:00:00Z",80,{"impact":79,"substance":18,"depth":79,"authority":80,"freshness":13,"relevant":22,"comment":81},18,14,"核心期刊综述，系统梳理气候胁迫下土传病害机制与AI遥感等智慧防控手段，对农业信息化与粮食安全主题有聚合价值。",[83],{"name":75,"url":72},[27,28,85,30,86],"植物病害","遥感监测",[88,89],"Macrophomina phaseolina 病害 防控","气候变暖 土传病害 粮食安全","Macrophominaphaseolina病害防控-3169","10.1007\u002Fs10725-026-01525-5",{"doi":91,"openalex_id":93,"authors":94,"venue":75,"cited_by_count":36,"oa_url":72,"card":114,"direction":120,"ingested_from":64},"W7213972258",[95,97,99,102,105,108,111],{"name":96,"orcid":9},"Sindiswa Khawula",{"name":98,"orcid":9},"Siyabonga Ntshalitshali",{"name":100,"orcid":101},"Arun Gokul","https:\u002F\u002Forcid.org\u002F0000-0003-1575-0632",{"name":103,"orcid":104},"Lee‐Ann Niekerk","https:\u002F\u002Forcid.org\u002F0000-0002-9788-3131",{"name":106,"orcid":107},"Ashwil Klein","https:\u002F\u002Forcid.org\u002F0000-0002-5606-886X",{"name":109,"orcid":110},"Marshall Keyster","https:\u002F\u002Forcid.org\u002F0000-0002-8718-736X",{"name":112,"orcid":113},"Mbukeni Nkomo","https:\u002F\u002Forcid.org\u002F0000-0002-7652-1588",{"tldr":115,"method":116,"finding":117,"direction":118,"opportunity":119},"综述气候变化下干旱高温盐胁迫加剧菜豆壳球孢菌病害的机制与可持续防控策略。","整合转录组、蛋白组、代谢组、比较基因组及精准农业、遥感、AI预测等技术。","气候胁迫破坏激素与ROS平衡降低作物抗性，需多组学与智能技术实现早期预警和抗性管理。","农业人工智能与决策模型","可构建融合多组学与气象遥感的AI病害预警模型，并研发胁迫 priming 与生防协同的田间方案。","农业遥感与作物表型","2026-09-22T23:30:22.790623Z",{"id":123,"title":124,"url":125,"summary":126,"summary_zh":127,"content":9,"source_name":128,"source_url":125,"published_at":129,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":130,"score_detail":131,"sources":135,"tags":137,"search_phrases":140,"slug":143,"view_count":22,"doi":144,"paper":145,"created_at":156},2040,"Climate Change and Agricultural Insect Pests: Ecological Mechanisms, Crop Productivity Impacts and Climate Adaptation Strategies","https:\u002F\u002Fdoi.org\u002F10.47495\u002Fokufbed.2000761","Climate change has emerged as one of the most significant challenges affecting agricultural production systems worldwide. Rising temperatures, altered precipitation patterns, increasing atmospheric carbon dioxide concentrations, and the growing frequency of extreme weather events are substantially influencing the biology, ecology, distribution, and population dynamics of agricultural pests. These changes contribute to increased pest abundance, expanded geographical ranges, higher overwintering success, accelerated development rates, and greater numbers of generations per year. Consequently, pest-induced crop losses are expected to increase, posing serious threats to crop productivity, agricultural sustainability, and global food security. In addition to direct effects on pest populations, climate change disrupts plant–pest–natural enemy interactions and weakens biological control mechanisms, further increasing pest pressure within agricultural ecosystems. This review examines the effects of climate change on agricultural insect pest populations and evaluates their implications for crop productivity. Particular attention is given to temperature increases, changes in precipitation and humidity regimes, geographical distribution shifts, invasive species expansion, and phenological mismatches. Furthermore, innovative adaptation strategies including integrated pest management, artificial intelligence-based forecasting systems, precision agriculture technologies, climate-smart agriculture approaches, and remote sensing applications are discussed as potential tools for enhancing agricultural resilience under changing climatic conditions. The findings indicate that sustainable management of climate-related pest risks requires multidisciplinary approaches integrating climate information, pest monitoring, ecological processes, and advanced decision-support technologies. Developing climate-resilient, technology-supported and ecologically based pest management strategies will be essential for safeguarding agricultural productivity and long-term global food security.","气候变化已成为影响全球农业生产系统的最重大挑战之一。气温上升、降水模式改变、大气二氧化碳浓度增加以及极端天气事件日益频繁，正在显著影响农业害虫的生物学、生态学、分布和种群动态。这些变化导致害虫丰度增加、地理分布范围扩大、越冬成功率提高、发育速率加快以及每年世代数增多。因此，害虫引起的作物损失预计将增加，对作物生产力、农业可持续性和全球粮食安全构成严重威胁。除对害虫种群的直接影响外，气候变化还扰乱了植物—害虫—天敌之间的相互作用，削弱了生物防治机制，进一步加剧了农业生态系统内的害虫压力。本文综述了气候变化对农业害虫种群的影响，并评估了其对作物生产力的意义。特别关注了温度升高、降水和湿度状况变化、地理分布转移、入侵物种扩散以及物候错配等方面。此外，还讨论了创新性适应策略，包括有害生物综合治理、基于人工智能的预测系统、精准农业技术、气候智慧型农业方法以及遥感应用，作为在气候变化条件下增强农业韧性的潜在工具。研究结果表明，气候相关害虫风险的可持续管理需要多学科方法，整合气候信息、害虫监测、生态过程和先进决策支持技术。开发气候韧性、技术支撑和基于生态的害虫管理策略，对于保障农业生产力和长期全球粮食安全至关重要。","Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi","2026-09-09T00:00:00Z",76,{"impact":79,"substance":18,"depth":19,"authority":132,"freshness":133,"relevant":22,"comment":134},12,9,"系统综述气候变化对农业害虫生态机制与作物生产力的影响，并整合IPM、AI预测、精准农业与遥感等适应策略，对智慧植保与气候韧性农业有参考价值。",[136],{"name":128,"url":125},[27,138,28,139,30,86],"农业人工智能","病虫害防控",[141,142],"农业人工智能 病虫害防控 智慧农业 气候变化","农业人工智能 病虫害防控","农业人工智能病虫害防控智慧农业气候变化-2040","10.47495\u002Fokufbed.2000761",{"doi":144,"openalex_id":146,"authors":147,"venue":128,"cited_by_count":36,"oa_url":125,"card":151,"direction":63,"ingested_from":64},"W7212022123",[148],{"name":149,"orcid":150},"Ekrem ASLAN","https:\u002F\u002Forcid.org\u002F0000-0001-8829-7301",{"tldr":152,"method":153,"finding":154,"direction":118,"opportunity":155},"综述气候变化对农业害虫生态机制、作物生产力影响及气候适应策略。","文献综述，整合气候数据、害虫监测与AI预测、遥感等技术。","气候变暖扩大害虫分布、增加世代与危害，削弱生物防治，威胁粮食安全。","可构建融合气候、遥感与AI的害虫风险预警决策模型，填补多尺度动态预测空白。","2026-09-10T23:30:09.295781Z",{"id":158,"title":159,"url":160,"summary":161,"summary_zh":162,"content":9,"source_name":163,"source_url":160,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":77,"score_detail":164,"sources":167,"tags":169,"search_phrases":172,"slug":175,"view_count":36,"doi":176,"paper":177,"created_at":192},3353,"Integrating artificial intelligence in climate change and sustainable development: A comprehensive bibliometric review","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.sftr.2026.102145","The integration of Artificial Intelligence (AI) with climate change and sustainable development (SD) studies has significant potential to enable actionable, data-driven, innovative, and long-term mitigation and adaptation strategies. However, there is a lack of a well-organized, comprehensive review of mapping that integrates AI, climate change, and the SD nexus. This study addresses this notable gap through a bibliometric review that dissects descriptive bibliometric, performance, and conceptual analyses. Utilizing the Web of Science Core Collection, 3291 publications from 2007 to 2025 were analyzed using Bibliometrix and VOSviewer software. The findings indicate a 38.29% annual publication growth rate, and original articles (80%) were the dominant publication type. The Chinese Academy of Sciences was the top contributor, and China and the USA were leaders in research output and international AI-integrated climate and SD research collaborations. Keyword analysis shows “artificial intelligence”, “climate change”, “deep learning”, “machine learning”, and “sustainability” as dominant keywords. Conceptual mapping identified four approaches: macro-level AI-driven digitalization; methodologically driven geospatial and machine-learning-based environmental monitoring; predictive modeling; and AI-driven smart agriculture applications. Thematic mapping reveals a shift from fundamental AI for climate change-focused research (2007–2013) to integrating AI with climate change and SD (2014–2019), and modeling and predicting approaches (2020–2025). Findings highlight substantial geographic asymmetries; data and research gaps persist in climate-vulnerable low-income areas. The extractivism rate for low-income countries was 41%, indicating that nearly half of their publications are led by high-income countries. Recommendations are grounded in theoretical, methodological, practical, and policy considerations, with an emphasis on SDGs 13 and 17. This study provides insights for researchers, practitioners, and policymakers to emphasize policies and technologies and implement a nexus-based framework.","人工智能（Artificial Intelligence, AI）与气候变化及可持续发展（Sustainable Development, SD）研究的融合，在推动可操作、数据驱动、创新性和长期性的减缓与适应策略方面具有巨大潜力。然而，目前缺乏对AI、气候变化与可持续发展三者交叉领域的系统化、综合性文献计量综述。本研究通过文献计量学综述填补了这一显著空白，从描述性文献计量分析、绩效分析和概念分析三个维度进行剖析。利用Web of Science核心合集，采用Bibliometrix和VOSviewer软件对2007年至2025年间的3291篇文献进行了分析。研究结果表明，年度发文增长率为38.29%，原创论文（80%）为主要文献类型。中国科学院是最大的贡献机构，中国和美国在研究产出及AI融合气候与可持续发展研究的国际合作方面处于领先地位。关键词分析显示，“人工智能”“气候变化”“深度学习”“机器学习”和“可持续性”是主导性关键词。概念图谱识别出四种研究路径：宏观层面的AI驱动数字化；方法论驱动的基于地理空间和机器学习的环境监测；预测建模；以及AI驱动的智慧农业应用。主题图谱揭示了研究重心的演变：从气候变化聚焦的基础AI研究（2007—2013年），到AI与气候变化及可持续发展的融合（2014—2019年），再到建模与预测方法（2020—2025年）。研究发现存在显著的地理不对称性；气候脆弱型低收入地区仍存在数据和研究缺口。低收入国家的提取主义率为41%，表明其近半数出版物由高收入国家主导。建议基于理论、方法论、实践和政策层面的考量，并着重关注可持续发展目标13和目标17。本研究为研究人员、实践者和政策制定者提供了洞见，以强调政策与技术的重要性，并实施基于交叉领域的框架。","Sustainable Futures",{"impact":79,"substance":165,"depth":79,"authority":20,"freshness":133,"relevant":22,"comment":166},22,"基于3291篇文献的AI与气候变化及可持续发展文献计量综述，方法规范、数据规模大，对智慧农业与农业AI研究具有参考价值。",[168],{"name":163,"url":160},[27,138,170,30,171],"可持续发展","文献计量",[173,174],"农业人工智能 可持续发展 文献计量 智慧农业","农业人工智能 可持续发展","农业人工智能可持续发展文献计量智慧农业-3353","10.1016\u002Fj.sftr.2026.102145",{"doi":176,"openalex_id":178,"authors":179,"venue":163,"cited_by_count":36,"oa_url":160,"card":187,"direction":63,"ingested_from":64},"W7214099405",[180,183,185],{"name":181,"orcid":182},"H. B. T. P. Jayathilaka","https:\u002F\u002Forcid.org\u002F0009-0001-0589-6999",{"name":184,"orcid":9},"Shiyan Zhai",{"name":186,"orcid":9},"Yuke Feng",{"tldr":188,"method":189,"finding":190,"direction":118,"opportunity":191},"用文献计量法梳理2007-2025年AI与气候变化及可持续发展交叉研究，揭示主题演化与地域失衡。","Web of Science 3291篇文献，Bibliometrix与VOSv","年增38.29%，主题从基础AI转向建模预测，低收入国家41%论文由高收入国家主导。","可针对气候脆弱低收入地区，构建AI+智慧农业的本地化数据与决策模型，填补研究空白。","2026-09-24T23:30:10.248845Z",{"id":194,"title":195,"url":196,"summary":197,"summary_zh":9,"content":9,"source_name":198,"source_url":9,"published_at":199,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":200,"score_detail":201,"sources":203,"tags":205,"search_phrases":209,"slug":212,"view_count":36,"doi":9,"paper":213,"created_at":222},3321,"数智化如何提升粮食供应链韧性——基于空间溢出与农业集聚的实证分析（2011—2023省级面板）","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F165475.html","《农业经济与管理》2026年第03期。李盛竹、王延浩、姜金贵（重庆邮电大学\u002F哈尔滨工程大学）基于2011—2023年中国省级面板数据，构建数智化与粮食供应链韧性综合评价指标体系。结果显示：数智化显著增强了粮食供应链韧性；该结论经过一系列稳健性检验与内生性处理后依然成立，且在粮食主产区和西部地区的促进作用更为突出。机制分析表明，农业生产水平在数智化影响粮食供应链韧性过程中，发挥着正向调节作用；农业产业集聚具有显著的门槛效应，只有跨越特定集聚水平后，数智化的促进作用才更为明显。此外，数智化对粮食供应链韧性的影响存在显著的空间溢出效应。","《农业经济与管理》2026年第03期","2026-09-17T00:00:00Z",78,{"impact":79,"substance":165,"depth":79,"authority":80,"freshness":67,"relevant":22,"comment":202},"基于2011—2023省级面板的实证研究，方法规范、结论有新意，对数字乡村与粮食安全议题有参考价值，但属学术论文，公共传播性有限。",[204],{"name":198,"url":196},[206,27,28,207,208],"数字乡村","空间溢出","农业产业集聚",[210,211],"数智化 粮食供应链韧性","农业集聚 门槛效应","数智化粮食供应链韧性-3321",{"doi":9,"openalex_id":9,"authors":214,"venue":9,"cited_by_count":36,"oa_url":9,"card":215,"direction":219,"ingested_from":221},[],{"tldr":216,"method":217,"finding":218,"direction":219,"opportunity":220},"基于2011—2023省级面板，实证检验数智化对粮食供应链韧性的提升作用及机制。","省级面板数据，构建综合评价指标体系，调节效应、门槛模型与空间溢出分析。","数智化显著增强粮食供应链韧性，主产区和西部更突出，农业集聚存在门槛效应。","数字乡村与农业信息化","可探究数智化空间溢出的衰减边界与跨区域协同机制，及集聚门槛的差异化政策设计。","agent","2026-09-24T00:04:02.337256Z",{"id":224,"title":225,"url":226,"summary":227,"summary_zh":9,"content":228,"source_name":229,"source_url":9,"published_at":11,"category":230,"cover_url":9,"hotness":13,"is_selected":231,"score":232,"score_detail":233,"sources":237,"tags":239,"search_phrases":242,"slug":245,"view_count":22,"doi":9,"paper":9,"created_at":246},3289,"专家解读：乘数而上向智而行——大力发展智慧农业 加快建设数字乡村 智慧农业与小农户有机衔接","https:\u002F\u002Fwww.thepaper.cn\u002FnewsDetail_forward_34116699","专家解读文章指出：近年来农机北斗终端实现快速规模化推广，截至2025年底累计推广超350万台套。各类农业社会化服务组织加速布点，通过集采智能装备、统一调度作业、提供菜单式服务，将智能农机、无人机植保、精准施肥等先进技术和装备转化为小农户点单即享的标准化服务。十五五时期是基本实现农业农村现代化的关键时期，《加快农业农村现代化十五五规划》明确要推进人工智能运用和智慧农业发展；农业大模型、智能装备加速在生物育种、农情监测、生产管理、动植物疫病识别与防控、产量预测等场景落地。","习近平总书记高度重视数字乡村建设和智慧农业发展，作出重要指示强调，“瞄准农业现代化主攻方向，提高农业生产智能化、经营网络化水平，帮助广大农民增加收入”“要用好现代信息技术，创新乡村治理方式，提高乡村善治水平”。2019年，中共中央办公厅、国务院办公厅印发了《数字乡村发展战略纲要》。此后，中央一号文件连续八年对推进数字乡村和智慧农业作出重要部署。各地区各有关部门持续推进数字技术与农业生产、乡村生活日益融合，数字乡村建设和智慧农业发展取得重要阶段性成效。近日，国家互联网信息办公室、农业农村部联合发布《中国数字乡村发展报告（2019—2025年）》（以下简称《报告》），系统总结了七年来我国数字乡村发展的成就和经验。《报告》立足新形势新要求，展示了以信息基础设施为底座、数据资源体系为核心、智慧农业与乡村数字经济为重点、数字文化与数字治理为支撑、信息服务与智慧美丽乡村为拓展、政策机制与人才队伍为保障的体系化发展路径。该《报告》不仅为全面了解发展成效、科学谋划“十五五”数字乡村发展蓝图提供了重要参考，也积极回应各方关切，向国际社会展示了我国借助数字技术推动农业与乡村治理数智化转型的经验。回顾七年历程，智慧农业作为数字乡村建设的重要内容，已由试点探索转向快速起步、由点状突破迈向系统推进，正乘“数”而上，向“智”而行，为推进农业农村现代化提供有力支撑。\n\n一、智慧农业正从“盆景”走向“风景”\n\n数字乡村涵盖乡村经济、治理、文化、服务等多个维度，内涵丰富。《报告》提出，智慧农业是“农业新质生产力的重要内容，是乡村产业数字化的关键着力点”。智慧农业为数字乡村高质量发展提供了坚实的产业支撑，成为推动数字乡村发展的关键动能。《报告》显示，七年的探索推进和快速发展，推动智慧农业实现了“四个跨越”。\n\n第一，智慧农业基础设施实现从“基础覆盖”到“深化赋能”的跨越。完善的网络基础设施为智慧农业在田间地头、池塘圈舍的落地拓展提供了基础支撑。截至2025年底，农村地区互联网普及率达69.5%，较2018年底提升31.1个百分点。传统基础设施数字化为智慧农业提供了更加坚实的硬件底座和场景支撑，农村水利、农田、电网、公路及寄递物流等持续升级完善。农业数据资源日益丰富，为智慧农业落地应用提供了基础资源和创新引擎，“天空地一体化”监测网络等新型基础设施加快建设，全国农产品批发市场价格信息等涉农数据开发利用不断深入。\n\n第二，关键技术装备实现从“基础”到“核心”的跨越。智能农机装备研发应用取得重要进展，新一代信息技术与农业装备深度融合，正推动农业生产方式从“靠天吃饭”向“知天而作”加速转变。产学研用相衔接的智慧农业创新体系加快形成，支撑取得一批关键智慧农业技术装备创新成果。《报告》显示，截至2025年底，累计建设智慧农业创新中心、分中心34个，智慧农业创新应用项目116个，104项关键智慧农业技术和62项整机智能装备研发取得突破。智慧农业技术装备质量管控更加严格、应用推广不断拓展，布局建设国家农机装备产业计量测试中心，强化农机装备产业计算测试技术研究与应用。\n\n第三，主要产业数字化实现从“单点试验”到“面上推广”的跨越。大田种植领域，天空地一体化农情感知与数据驱动模式初步构建，实现水稻、小麦、玉米苗情长势动态监测。截至2025年底，累计推广应用各类农机北斗终端超350万台套，农用无人机保有量超过30万架、年作业面积突破4.6亿亩。智能农机共享租赁加速普及。畜禽养殖领域，精准饲喂、环境控制、行为分析等智能技术广泛应用于生猪养殖和家禽立体高效养殖中。全国659个动物防疫通道纳入信息化管理，动物检疫监督更加智能化、便捷化和高效化。渔业领域，数字技术持续赋能多元化养殖模式，智能化网箱设备、投料机器人等智能装备加速迭代，海洋养殖智能化水平不断提升。\n\n第四，粮食安全保障实现从“人工管控”到“数智赋能”的跨越。粮食安全是“国之大者”，数智技术正在为其构筑起坚实保障。在耕地保护方面，“三区三线”等“一张图”相关基础数据库进一步完善，让“藏粮于地”有了更坚实的数据底座，助力守牢18亿亩耕地红线。在种业振兴方面，中国种业大数据平台建成运行，全国农作物种质资源信息平台已上线58.8万份国家级库圃种质资源信息，为育种创新提供了坚实的资源基础。在防灾减损领域，气象预警信息全面接入全国123万个应急广播终端并在16个省份386个市县试行开展“闪信”技术应用，以气象预警为先导的应急响应联动机制更加健全。在仓储方面，借助数字化仓储技术，粮库储粮周期内综合损耗率控制在1%以内，支撑节粮减损效果明显。从种到收、从田间到粮仓，数智技术正在全链条赋能国家粮食安全保障体系。\n\n二、智慧农业发展需要坚定走好符合国情农情的路子\n\n七年来，在信息革命加速农业深刻变革的进程中，智慧农业加快发展、数字乡村建设深入推进，推动农业成为更有奔头的产业、农村成为更加宜居宜业的家园，为网络强国、农业强国建设贡献了重要力量。回顾七年实践，我们进一步深化了对智慧农业发展的规律性认识。\n\n一是政府引导与市场机制协同发力。党中央、国务院印发的《加快建设农业强国规划（2024—2035年）》、农业农村部印发的《关于大力发展智慧农业的指导意见》《全国智慧农业行动计划（2024—2028年）》等文件构建了智慧农业“四梁八柱”。七年来，从智慧农业创新中心布局到创新应用项目建设实施，从主推技术遴选、典型案例推介到智慧农业创新大赛，政府的“有形之手”在搭建平台、降低门槛、推动产业化等方面发挥了重要作用。同时，平台经济等推动拓展创业空间，返乡青年、家庭农场、农民合作社和农村个体商户以平台化方式进入市场、链接消费和重构经营模式，农村电商、数字服务等新业态加速发展，市场的“无形之手”进一步增强了智慧农业发展的动力活力。\n\n二是技术创新与农情农艺深度结合。农业不同于工业、农村不同于城市，发展智慧农业、建设数字乡村必须坚持问题导向、应用导向，走适宜化、低成本、易操作的技术路线。近年来，农机北斗终端实现快速规模化推广，在于其有效契合了播种、收获等关键环节的实际生产需求，让农民“用得上、用得起、用得好”。\n\n三是智慧农业与小农户有机衔接。“大国小农”的基本国情农情决定了智慧农业要实现大规模落地应用，必须坚持让小农户共享数字红利的现实路径。各类农业社会化服务组织加速布点，通过集采智能装备、统一调度作业、提供“菜单式”服务，将智能农机、无人机植保、精准施肥等先进技术和装备转化为小农户“点单即享”的标准化服务，有效破解小农户“买不起、用不好”的难题。以社会化服务为纽带，智慧农业正成为促进小农户与现代农业发展有机衔接的重要手段。\n\n三、奋力推进“十五五”时期智慧农业建设\n\n“十五五”时期是基本实现农业农村现代化的关键时期。展望未来五年，数字乡村将加快迈向数智乡村，智慧农业建设将进入创新发展、落地见效的关键阶段。《加快农业农村现代化“十五五”规划》明确，要“推进人工智能运用和智慧农业发展”。这要求我们既要总结运用好实践中积累形成的宝贵经验，又要准确把握未来数智技术和农业发展新趋势。\n\n当前，人工智能等数智技术加速演进，深刻重塑农业发展的底层逻辑，为智慧农业发展带来了前所未有的新机遇。一是数据产业加快培育，释放要素价值潜能。数据从支撑农业农村发展的辅助性工具，逐步发展为具有独立价值、可市场化运营的新型生产要素，其基础资源和创新引擎作用日渐显现，数智技术加速内化成为农业农村领域的发展动能，要抓实数据这个根本，进一步加快“统筹部署农业农村数据基础设施”“发展农业农村领域数据产业”。二是应用场景全链拓展，场景驱动成为重要引擎。农业大模型、智能装备加速在生物育种、农情监测、生产管理、动植物疫病识别与防控、产量预测等场景落地，场景驱动技术迭代的效能日益凸显，要打造丰富多样的应用场景，“加快农业人工智能应用场景拓展”。三是新兴产业加快培育，拓展农业发展新空间。智能设计育种、新能源农机、农业低空经济等先导性产业规模化发展，开辟智慧农业高质量发展全新赛道，要从智能育种等产业急需领域做起，加快“培育发展乡村新产业新业态”。\n\n《报告》的发布既是阶段性总结，更是新征程的动员。面向“十五五”，我们要坚决贯彻党中央、国务院关于大力推进“人工智能+”农业的部署要求，在基础设施上强基固本，在关键技术装备上聚力攻坚，在产业数智化上扩面提效，在粮食安全保障上筑牢数字防线，加快推动智慧农业从“点上突破”迈向“面上成势”，从“量的积累”转向“质的跃升”。以智慧农业的创新发展，推动数字乡村高质量发展，为加快农业农村现代化、扎实推进乡村全面振兴注入更加澎湃的数智动能。\n\n作者：李韶民 农业农村部信息中心副主任\n\n原标题：《专家解读｜乘“数”而上 向“智”而行——大力发展智慧农业 加快建设数字乡村》\n\n[阅读原文](https:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=Mzg2ODA4MDIwNg==&mid=2247812104&idx=2&sn=0d26f89082d00b4df0d545a746ae8920&chksm=cf86c6565a4df065b13c07ba7a865f15b705b1f5daea9595cb732f4e76ca7a07f6080524f4d7&scene=7)","澎湃新闻 2026年09月23日","报道",true,93,{"impact":234,"substance":235,"depth":79,"authority":80,"freshness":133,"relevant":22,"comment":236},28,24,"农业农村部信息中心专家对《中国数字乡村发展报告（2019—2025年）》的系统解读，含大量权威数据与“十五五”方向判断，政策参考价值高。",[238],{"name":229,"url":226},[206,27,138,240,28,241],"十五五规划","农业社会化服务",[243,244],"中国数字乡村发展报告 2019-2025","智慧农业 小农户 社会化服务","中国数字乡村发展报告2019-2025-3289","2026-09-24T00:03:56.916759Z",{"id":248,"title":249,"url":250,"summary":251,"summary_zh":9,"content":252,"source_name":253,"source_url":9,"published_at":254,"category":230,"cover_url":9,"hotness":13,"is_selected":14,"score":255,"score_detail":256,"sources":259,"tags":261,"search_phrases":265,"slug":268,"view_count":36,"doi":9,"paper":9,"created_at":269},3285,"2026年中国农民丰收节全国主场活动落地襄阳——9-23 农历秋分全国主场启幕 鄂北粮仓慧种地转型全面展示","https:\u002F\u002Fhubei.gov.cn\u002Fhbfb\u002Fszsm\u002F202609\u002Ft20260922_6019905.shtml","9月23日第九个中国农民丰收节全国主场活动在湖北襄阳枣阳市环城街道东郊村举办，主题丰收开新局实干促振兴。这是中国农民丰收节设立以来全国主场首次落地鄂北。襄阳粮食播种面积稳定在1190万亩、粮食产量占全省近五分之一，22连丰；累计建成高标准农田657万亩，培育省部级以上农业创新平台104个。襄阳以科技、绿色、质量、品牌四个农业作答：襄州区全省首个无人化试验示范农场1100亩配套智慧农机162台套实现稻油稻麦全程无人化作业；8000多台农机具安装北斗智能驾驶系统；一管四控数字化平台带动亩增产5%以上；水肥一体化滴灌预计全生育期节水30%、节肥20%、亩增产35%以上；2025年东郊村人均可支配收入30123元；枣阳皇桃品牌价值达147亿元。","襄阳市襄州区龙王镇孙庙村，金灿灿的晚稻迎来收割季，农机下田抢收稻谷。从 “汗水农业” 迈向 “智慧农业”，鄂北粮仓襄阳持续稳固百亿斤粮食产能，喜迎第九个中国农民丰收节。（刘曙松 摄）\n\n9月23日，第九个中国农民丰收节全国主场活动将在枣阳启幕。\n\n这场国家级丰收盛典首次落地湖北，为何选址襄阳？\n\n粮食播种面积稳定在1190万亩、全省唯一百亿斤粮食产能大市、实现“二十二连丰”……\n\n这份丰收答卷背后，一场从“汗水农业”向“智慧农业”的深刻转型，正在重新定义鄂北粮仓的成色。\n\n襄阳以数字赋能重塑农业生产方式的探索，正是湖北践行大农业观、大食物观，加快建设现代农业强省的生动缩影。\n\n**智能装备：从“会种地”到“慧种地”**\n\n秋收时节，位于襄州区的全省首个无人化试验示范农场，一台台大马力拖拉机驶过田野，驾驶室却空无一人。\n\n依托北斗监测及自动驾驶系统，这些农机沿着预设轨迹直线行进、精准调头，无需人工操控，便有条不紊完成田间作业。\n\n农场负责人杭世伟介绍，该项目依托汇吉兴农机专业合作社建设，以北斗导航技术为支撑，无人农场面积共1100亩，配套各类智慧农机162台套，成功实现稻油、稻麦“耕种管收”全程无人化作业。\n\n在枣阳市熊集镇连片稻田里，3台联合收割机匀速穿梭作业，收割、脱粒、清选、秸秆粉碎还田一气呵成，田边运粮车同步接力转运，实现粮食收运全程不落地。\n\n“今年种了200多亩优质稻，亩产预计超过1600斤，智能化种地既省心又高产。”种粮大户杜小伟满心欢喜。\n\n9月以来，熊集镇调配200余台加装北斗定位系统的农机设备投入秋收一线，通过规范低留茬、控速度作业标准，全镇机收损失率控制在3%以内。\n\n“装了北斗定位的收割机，调好参数就能精细化收割，大幅减少落粒损耗，一亩地能多收几十斤粮食。”农机手张浩说。\n\n从“会种地”到“慧种地”，一字之变，反映的是襄阳农业机械化、智能化装备体系的全面升级。\n\n目前，襄阳农机总动力达834.99万千瓦，主要农作物机械化作业率达90.07％，两项指标均稳居全省第一。\n\n**精准调控：从“凭经验”到“靠数据”**\n\n9月20日，枣阳市东郊村千亩高标准农田里，连片水稻长势正旺。\n\n稻田上空，植保无人机掠过，十几分钟就完成一亩地的“一喷多促”作业。\n\n“以前，施肥全凭感觉，现在无人机一飞，手机里就有了‘处方’，省事还省肥。”种粮大户张启胜说。\n\n这套“处方”，来自多光谱无人机巡田。\n\n枣阳市农业技术推广中心农艺师郭贵东介绍，智慧农田平台根据多光谱测量结果生成苗情分布图，按照不同长势等级，采取变量作业，实现肥料精准追施、病虫精准防治，效率是人工的50倍。\n\n在位于襄州区的湖北绿神农业科技有限公司稻麦轮作“超吨粮”基地，农田遥感监测平台全天候采集分析作物长势、土壤墒情、病虫害等数据，并提出农田管理意见。有了“数字大脑”，近3000亩农田仅需7个人管理，每亩地增产8%、降本380元。\n\n如今，襄阳已建成高标准农田670.3万亩，占永久基本农田的79.2%。建成后的高标准农田，粮食亩均综合产能普遍提升10%至20%，每亩节本增效200元至500元。\n\n“襄阳把物联网和大数据用到种地上，这不仅是良法，更是现代化农业的标配。”今年7月，全国粮油生产政策宣贯暨夏种夏管生产现场会在襄阳召开，与会代表实地观摩后纷纷点赞。\n\n从“凭经验”到“靠数据”，襄阳用数字技术把每一寸耕地的潜力都“吃干榨净”，让丰收从偶然变成必然。\n\n**全链保障：从“丰收在田”到“丰收在手”**\n\n粮食丰收，不仅看田里的长势，更看能不能稳稳收进仓里。\n\n今夏，襄阳遭遇连阴雨天气，3.6万台农机、4万余名农机手昼夜抢收，479处烘干点、1658台烘干机满负荷运转，全市夏粮总产39.944亿斤，较去年增加260万斤。\n\n烘得干，粮才安。\n\n在位于襄城区的襄阳绿谷农业开发有限公司粮食烘干车间，刚运到的湿稻谷经输送、烘干、清杂、出仓，不到20个小时，水分便控制在国标13.5%以下，损耗从传统晾晒的5%以上降至1%以下。\n\n运营部负责人朱兵说：“随来随卸、随卸随烘，这个秋收季已烘干入库水稻近400吨。”\n\n襄阳积极推广“共享烘干”模式，依托乡镇农事服务中心和大型合作社为小农户提供代烘服务，避免“雨天收粮、霉变损失”的风险。\n\n储得好，价才稳。\n\n在老河口华粮粮食储备有限公司，仓内每处粮堆的温度、湿度、虫害情况在电脑屏幕上实时跳动。\n\n总经理张海涛介绍，仓储管理、轮换出入库等环节已实现全程信息化、智能化。\n\n让每一粒粮食都住进“智慧空调房”，物联网技术正重构襄阳各大粮库的仓储模式。从“靠天晒粮”到“随到随烘”、从“大堆存放”到“智慧储粮”，襄阳以环环相扣的全链保障，把“丰收在田”稳稳变成“丰收在手”。\n\n放眼荆楚田野，这样的蝶变，正为新时代“鱼米之乡”写下生动注脚。\n\n粮食总产连续13年站稳500亿斤台阶，淡水产品产量连续30年稳居全国第一，林下经济经营面积超过2800万亩、综合产值超775亿元……湖北正依托山水林田的丰厚家底，以更大担当端稳端牢“中国饭碗”。（张源）\n\n编辑：汪 丽\n\n责编：李 茜\n\n审核：陈 勇\n\n姚 盼","湖北省人民政府门户网站 2026年09月22日","2026-09-22T01:06:00Z",83,{"impact":257,"substance":18,"depth":19,"authority":132,"freshness":21,"relevant":22,"comment":258},26,"国家级丰收节主场首次落地湖北，系统展示襄阳从智能装备、精准调控到全链保障的智慧农业转型，数据与信源扎实，值得进入每日精选。",[260],{"name":253,"url":250},[206,27,262,263,264,28],"无人农场","北斗导航","高标准农田",[266,267],"襄阳 中国农民丰收节 主场","襄阳 无人农场 北斗","襄阳中国农民丰收节主场-3285","2026-09-24T00:03:56.561075Z"]