[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3601":3,"related-3601":86},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":8,"source_name":9,"source_url":8,"published_at":10,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":14,"score_detail":15,"sources":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":71,"slug":74,"view_count":54,"doi":8,"paper":75,"created_at":85},3601,"植保无人机喷施纳米农药对稻纵卷叶螟防治效果研究","http:\u002F\u002Fwww.qikanvip.com\u002Fqkml\u002F166188.html","张建桃、刘广彬、黄路生、吴逢秋、文晟、刘雯等在《农机化研究》2026年第09期发表。文章在水稻分蘖末期、孕穗期进行植保无人机施药作业试验，研究不同飞行高度下雾滴在水稻冠层的沉积情况和两种农药、3种农药剂量对稻纵卷叶螟田间防治效果，并与人工施药（背负式电动喷雾器）的常规防治效果进行对比。结果表明：飞行高度1.5m优于2.5m；纳米农药防治效果优于非纳米农药；农药剂量越大防治效果越好；高度1.5m的防治效果在整体上优于2.5m；当农药剂量为80%时，无论飞行高度1.5m还是2.5m，纳米农药的防治效果均与人工施药没有显著差异。",null,"农机化研究 2026(09) 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Spraying for Agricultural Robots under Changing Weather and Terrain Using Vision-Language Models)","https:\u002F\u002Farxiv.org\u002Fabs\u002F2610.08807","arXiv论文(2610.08807,2026年10月6日提交)提出基于视觉-语言模型(VLM)的上下文自适应喷洒框架,通过空间推理整合作物、农药、气象数据驱动喷洒决策,并结合MPPI轨迹跟踪控制。作物行检测精度至少提升30%,机器人可在两种环境中灵活调节喷洒量与行驶速度并减少农药漂移。[预印本未经同行评议,尚未实地部署验证]。","arXiv 2026-10-06 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佳木斯国家农高区」联合打造的智慧农业服务平台「佳家农」农服 APP,服务佳木斯及周边超 6 万农户、覆盖耕地超 700 万亩,实现亩均增产约 3%、农资购买成本降低约 10%;全省农作物耕种收综合机械化率超 99%、植保无人机保有量全国第一,智慧农业体系聚木成林。","人民日报 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智慧农业","佳家农农服APP-4379","2026-10-08T00:06:06.718728Z",{"id":203,"title":204,"url":205,"summary":206,"summary_zh":207,"content":8,"source_name":208,"source_url":205,"published_at":209,"category":11,"cover_url":8,"hotness":12,"is_selected":46,"score":210,"score_detail":211,"sources":214,"tags":216,"primary_topic":221,"secondary_topics":227,"classification":229,"search_phrases":286,"slug":289,"view_count":20,"doi":290,"paper":291,"created_at":335},4083,"Wheat Rust Diseases: Global Impact, Integrated Disease Management, and Emerging Biotechnological Innovations for Sustainable Crop Protection","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbiology15191756","Wheat (Triticum aestivum L.) remains one of the most important staple crops worldwide and serves as a primary source of calories and protein for billions of people. Global wheat production, however, continues to be threatened by rust diseases caused by Puccinia triticina, Puccinia striiformis f. sp. tritici and Puccinia graminis f. sp. tritici. These pathogens are highly adaptive and frequently give rise to new virulent races, causing resistance in wheat cultivars to breakdown. Under favorable environmental conditions, severe epidemics can develop and substantial yield losses may occur. In response to these challenges, traditional management approaches such as resistant cultivars, crop rotation, sanitation and fungicide application have long been employed in wheat production systems. Yet these strategies have increasingly been constrained by resistance breakdown, genetic uniformity in modern cultivars, and climate-driven changes in pathogen distribution. Conventional management practices are evaluated alongside emerging technological solutions including genomic-assisted breeding, gene pyramiding, CRISPR-based genome editing, biological control agents and precision agriculture tools. In addition, nanotechnology has emerged as a promising tool in plant disease management, where nanoparticles such as silver, copper and zinc oxide exhibit strong antifungal activity and enable targeted delivery of agrochemicals. Nano-enabled formulations can enhance fungicide efficiency, reduce chemical inputs and improve plant defense responses, offering a sustainable complement to existing wheat rust management strategies. Particular attention is given to integrated disease management strategies, which combine traditional agronomic practices with modern surveillance technologies such as remote sensing, artificial intelligence-based forecasting models, and pathogen genomics. These combined approaches can improve resistance durability and build more resilient wheat production systems. Future directions emphasize climate adaptation, global surveillance and collaborative breeding. In an era of increasing climatic uncertainty and evolving pathogen populations, durable rust management will depend on coordinated global efforts that align scientific innovation, farmer adoption, and policy support to safeguard wheat productivity and global food security.","小麦（Triticum aestivum L.）仍是全球最重要的主粮作物之一，是数十亿人热量和蛋白质的主要来源。然而，全球小麦生产持续受到由小麦叶锈菌（Puccinia triticina）、小麦条锈菌（Puccinia striiformis f. sp. tritici）和小麦秆锈菌（Puccinia graminis f. sp. tritici）引起的锈病威胁。这些病原菌适应性极强，频繁产生新的毒性小种，导致小麦品种抗性丧失。在有利的环境条件下，病害可严重流行并造成大幅产量损失。为应对这些挑战，小麦生产体系中长期采用抗病品种、轮作、田园卫生和杀菌剂施用等传统管理措施。然而，这些策略日益受到抗性丧失、现代品种遗传单一化以及气候驱动的病原菌分布变化的制约。本文在评估传统管理实践的同时，也探讨了新兴技术解决方案，包括基因组辅助育种、基因聚合、基于CRISPR的基因组编辑、生物防治制剂和精准农业工具。此外，纳米技术已成为植物病害管理中有前景的工具，其中银、铜和氧化锌等纳米颗粒表现出强抗真菌活性，并能够实现农化品的靶向递送。纳米制剂可提高杀菌剂效率、减少化学投入并改善植物防御反应，为现有小麦锈病管理策略提供了可持续的补充。本文特别关注病害综合管理策略，即将传统农艺措施与遥感、基于人工智能的预测模型和病原菌基因组学等现代监测技术相结合。这些综合方法可提高抗性持久性并构建更具韧性的小麦生产体系。未来方向强调气候适应、全球监测和协作育种。在气候不确定性日益加剧和病原菌群体不断演化的时代，持久的锈病管理将依赖于协调一致的全球努力，将科学创新、农民采纳和政策支持相结合，以保障小麦生产和全球粮食安全。","Biology","2026-10-02T00:00:00Z",82,{"impact":17,"substance":117,"depth":18,"authority":19,"freshness":212,"relevant":21,"comment":213},8,"系统综述小麦锈病全球影响与基因组育种、纳米农药、遥感与AI预测等前沿防控手段，专业性强，对保障粮食安全具参考价值。",[215],{"name":208,"url":205},[26,217,218,29,219,220],"粮食安全","基因编辑","遥感监测","小麦锈病",{"code":222,"slug":223,"name":224,"path":225,"parent_code":226},"A2","wheat","小麦","\u002Ftopic\u002Ffield-crops\u002Fwheat","A",[228],{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},{"status":39,"locked":13,"version":40,"method":41,"evidence":230},{"candidates":231,"agricultural_evidence":46},[232,237,243,250,256,263,270,276,281],{"code":222,"score":233,"supported":46,"title":234,"abstract":235,"tags":236},14,[223],[224,223],[],{"code":32,"score":16,"supported":46,"title":238,"abstract":240,"tags":242},[239],"crop 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抗性育种","小麦锈病综合防控-4083","10.3390\u002Fbiology15191756",{"doi":290,"openalex_id":292,"authors":293,"venue":208,"cited_by_count":77,"oa_url":205,"card":327,"direction":333,"ingested_from":334},"W7215995869",[294,297,300,303,306,309,311,313,315,318,321,324],{"name":295,"orcid":296},"Mingzheng Duan","https:\u002F\u002Forcid.org\u002F0000-0002-3486-024X",{"name":298,"orcid":299},"Muhammad Asif Shabbir","https:\u002F\u002Forcid.org\u002F0009-0002-5452-5040",{"name":301,"orcid":302},"Mustansar Mubeen","https:\u002F\u002Forcid.org\u002F0009-0003-9231-9560",{"name":304,"orcid":305},"Yasir Iftikhar","https:\u002F\u002Forcid.org\u002F0000-0002-4182-8969",{"name":307,"orcid":308},"Naureen Anwar","https:\u002F\u002Forcid.org\u002F0000-0003-1254-1720",{"name":310,"orcid":8},"Shiping Jiang",{"name":312,"orcid":8},"Zhifang He",{"name":314,"orcid":8},"Sirui Han",{"name":316,"orcid":317},"Ahmed Mahmoud Ismail","https:\u002F\u002Forcid.org\u002F0000-0001-9679-640X",{"name":319,"orcid":320},"Khalid Mushabab Al Syaad","https:\u002F\u002Forcid.org\u002F0000-0002-2372-9975",{"name":322,"orcid":323},"Ahmed Ezzat Ahmed","https:\u002F\u002Forcid.org\u002F0000-0002-4532-0636",{"name":325,"orcid":326},"Muhammad Umer","https:\u002F\u002Forcid.org\u002F0000-0002-3957-0196",{"tldr":328,"method":329,"finding":330,"direction":331,"opportunity":332},"综述小麦锈病全球影响与综合防控，并展望基因编辑、纳米技术、遥感与AI预测等新兴手段。","文献综述，整合抗病育种、CRISPR、纳米制剂、遥感与AI预测模型。","综合传统农艺与现代监测技术可提升抗性持久性，纳米与基因编辑是可持续补充。","农业人工智能与决策模型","可探索遥感与AI预测模型同病原基因组数据融合的实时预警系统，并评估纳米制剂田间长期生态效应。","农业遥感与作物表型","openalex","2026-10-03T23:30:32.282761Z",{"id":337,"title":338,"url":339,"summary":340,"summary_zh":8,"content":341,"source_name":342,"source_url":8,"published_at":343,"category":155,"cover_url":8,"hotness":12,"is_selected":13,"score":344,"score_detail":345,"sources":347,"tags":349,"primary_topic":353,"secondary_topics":354,"classification":355,"search_phrases":387,"slug":390,"view_count":21,"doi":8,"paper":8,"created_at":391},1152,"北大荒集团实施抗逆防灾作业全覆盖 完成秋粮抗逆防灾作业655万亩","https:\u002F\u002Fwww.agri.cn\u002Fzx\u002Fxxlb\u002Fhlj\u002F202608\u002Ft20260831_8867923.htm","记者从北大荒集团农业发展部了解到,按照农业农村部办公厅《关于切实做好2026年秋粮抗逆防灾工作的通知》总体要求,北大荒集团于8月27日高标准高质量完成秋粮抗逆防灾作业任务面积655万亩,覆盖水稻、玉米、大豆三大主要作物,其中水稻244.33万亩、玉米234.75万亩、大豆175.92万亩。宝泉岭农场完成喷施作业37400亩;八五二分公司开展航化植保作业,优化药剂配比兼顾营养补给与抗逆防护;八五六分公司全面推进一喷多促飞防作业,护航水稻灌浆结实。北大荒集团通过无人机+精准配方+航化作业的模式,实现防病、提质、增产一体推进,夯实秋粮稳产丰产基础。","当前正值秋粮灌浆增重、产量形成的关键时期，也是抓好作物抗逆防灾、推动提质增产的攻坚阶段。记者从北大荒集团农业发展部了解到，按照农业农村部办公厅《关于切实做好2026年秋粮抗逆防灾工作的通知》的总体要求，北大荒集团精心组织、迅速行动，已经于8月27日高标准高质量完成秋粮抗逆防灾作业任务面积655万亩，覆盖水稻、玉米、大豆三大主要作物，其中水稻244.33万亩，玉米234.75万亩，大豆175.92万亩。\n\n为扎实做好秋粮中后期田间管护，强化作物抗逆防灾能力，近日，北大荒集团宝泉岭农场全面持续开展秋粮抗逆防灾专项喷施作业。\n\n为确保喷施作业科学有序，农场立足辖区作物长势、田间墒情及气候特点，精准统筹规划，针对不同作物生长特性与管护需求，量身定制喷施方案，明确各类作物喷施技术标准、专用配方、作业流程及阶段性完成时限，保障喷施作业标准化推进。\n\n据了解，宝泉岭农场此次秋粮抗逆防灾作业完成面积达37400亩。下一步，农场将持续紧盯天气变化和作物长势动态，稳步推进喷施作业，全力夯实秋粮稳产丰产基础，确保全年粮食生产目标顺利完成。\n\n连日来，北大荒农业股份八五二分公司万亩良田上空植保飞机往复穿梭、匀速作业，细腻雾化药液均匀覆盖田间作物，高标准开展秋粮航化植保作业，以科技农艺举措为秋粮灌浆增重、稳产丰收保驾护航。\n\n秋粮灌浆期是决定籽粒饱满度、最终产量的核心阶段，科学高效的植保作业是稳产增产的关键举措。针对今年秋粮生长特性，八五二分公司农技人员优化药剂配比比例，兼顾营养补给与抗逆防护，精准适配灌浆期作物生长需求，提升作物抗倒伏、抗病害、抗早衰能力，有效解决作物后期养分不足、抗性较弱等问题，实现防病、提质、增产一体推进。\n\n“航空植保作业不受田间地形、作物长势限制，作业灵活、覆盖全面，能够抢抓短时晴好天气快速完成全域喷施，大幅提升秋粮田间管理精细化、标准化水平。”农技人员胡忠尧介绍。\n\n当前，水稻进入灌浆结实关键冲刺期，受近期持续高温高湿、阴晴交替天气叠加影响，田间病虫害防控、防早衰、促早熟任务紧迫繁重。为科学应对气候变化，筑牢秋粮丰收防线，连日来，北大荒农业股份八五六分公司抢抓作物生长黄金窗口期，全面推进“一喷多促”飞防作业，以精细化田间管护护航水稻丰产丰收。\n\n田间地头，植保无人机有序穿梭作业，按照预设航线匀速喷洒，细密的雾滴均匀覆盖稻株茎叶，作业高效、喷施均匀、不伤秧苗。农技人员全程驻守作业一线，实时监测苗情、墒情与病虫动态，结合地块长势科学调配杀菌剂、叶面肥及生长调节剂，一次性完成防病防虫、保叶抗衰、增粒促熟多重作业，有效提升田间管护质效。\n\n“当前是水稻产量形成的黄金窗口期，也是田间管理的关键攻坚期。我们抢抓晴好天气，统筹设备、人力全速推进飞防作业，落实网格化包保责任，全程跟进技术指导，通过科学‘一喷多促’，有效增强水稻抗逆能力、延长功能叶寿命，全力稳住产量、提升稻米品质。”八五六分公司第六管理区主任郭文涛说。\n\n连日来，北大荒农业股份庆丰分公司紧抓晴好天气，高效推进农作物秋粮抗逆防灾作业，以科学化、精细化田间管护举措，持续提升耕地单产潜能，为全年粮食稳产丰产保驾护航。\n\n在第七管理区一处旱田地块，满载药肥溶液的植保无人机在技术人员的精准操控下有序升空。按照预设航线开展全域智能化作业，细密均匀的雾状药肥精准覆盖田间作物，有效补充作物生长养分、防控田间病虫害，为辖区农作物稳健生长提质增效。\n\n“我跟着管理区统一安排开展秋粮抗逆防灾作业已经三年了，统一机械化作业既省心又高效，我家300亩耕地，两个小时就能全部作业完成，省时又省力。”第七管理区种植户齐万春感慨道。\n\n农业综合服务中心技术员赵云鹏表示：“我们统筹调配植保设备，集中连片开展规模化秋粮抗逆防灾作业，结合不同作物生长需求，精准喷施磷酸二氢钾等叶面肥与防虫药剂，有效加快作物灌浆成熟速度、增强植株抗逆能力，切实提升粮食单产质量。目前辖区秋粮抗逆防灾作业已全面完成，累计投入植保无人机8台，高标准完成近3.49万亩农田防虫、防病、提质增产一体化作业，为秋粮丰产丰收筑牢坚实基础。”\n\n秋粮稳则全年丰，当下的每一次精准喷施、每一轮田间值守，都是在为岁末的粮仓满溢攒下底气。接下来，北大荒将紧盯作物生长全周期，紧跟天气变化动态，在黑土地上绘就稳产丰产的喜人图景，坚决守好粮食安全“压舱石”，确保全年粮食生产目标稳稳落地。（黑龙江日报记者姜斌刘畅）","中国农业农村信息网 2026-08-31","2026-08-31T01:00:00Z",71,{"impact":98,"substance":18,"depth":233,"authority":16,"freshness":245,"relevant":21,"comment":346},"北大荒集团秋粮抗逆防灾作业覆盖655万亩，展现规模化智慧植保实践，数据详实，对农业信息化有参考价值。",[348],{"name":342,"url":339},[26,350,351,352,30],"秋粮生产","一喷多促","北大荒",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":356},{"candidates":357,"agricultural_evidence":46},[358,362,366,372,378,382],{"code":32,"score":161,"supported":46,"title":359,"abstract":360,"tags":361},[],[49],[351,30],{"code":53,"score":61,"supported":46,"title":363,"abstract":364,"tags":365},[],[57],[],{"code":367,"score":61,"supported":46,"title":368,"abstract":369,"tags":371},"A3",[],[370],"玉米",[],{"code":373,"score":61,"supported":46,"title":374,"abstract":375,"tags":377},"A4",[],[376],"大豆",[],{"code":67,"score":21,"supported":13,"title":379,"abstract":380,"tags":381},[],[],[26],{"code":383,"score":21,"supported":13,"title":384,"abstract":385,"tags":386},"J4",[],[],[350],[388,389],"植保无人机 一喷多促 智慧农业 秋粮生产","植保无人机 一喷多促","植保无人机一喷多促智慧农业秋粮生产-1152","2026-09-01T00:03:35.855233Z",{"id":393,"title":394,"url":395,"summary":396,"summary_zh":397,"content":8,"source_name":398,"source_url":395,"published_at":399,"category":11,"cover_url":8,"hotness":12,"is_selected":13,"score":400,"score_detail":401,"sources":403,"tags":405,"primary_topic":408,"secondary_topics":409,"classification":410,"search_phrases":456,"slug":459,"view_count":77,"doi":460,"paper":461,"created_at":493},5480,"Sustainable Plant Disease Management: Current Advances, Challenges, and Future Directions","https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu182010661","Sustainable plant disease management is essential for maintaining agricultural productivity, environmental health, and global food security. Climate change has increased crop vulnerability to emerging and re-emerging plant diseases, posing significant challenges for agricultural sustainability. Although synthetic chemical pesticides have long been effective for disease control, their extensive use is increasingly questioned because of environmental contamination, pathogen resistance, and potential risks to human and ecosystem health. Consequently, plant disease management (PDM) is shifting toward more sustainable and integrated approaches. Future strategies are expected to incorporate multiple disciplines, including: (i) biological control and microbiome engineering to enhance natural plant defense mechanisms; (ii) advanced molecular and genomic technologies, such as CRISPR\u002FCas systems, RNA interference (RNAi), and epigenome editing, to develop durable disease resistance; (iii) smart delivery systems for the precise application of antimicrobial compounds and defense elicitors; (iv) nanotechnology-based platforms for the targeted delivery of nutrients, pesticides, and biocontrol agents, improving efficacy while reducing chemical inputs; (v) digital and precision agriculture technologies, including remote sensing, unmanned aerial vehicles (UAVs), and artificial intelligence (AI)-based diagnostics, to facilitate real-time disease surveillance and targeted interventions; and (vi) agroecological practices such as crop diversification, soil health restoration, and climate-smart farming to enhance agroecosystem resilience. These innovations aim not only to suppress plant pathogens but also to build sustainable, adaptive, and resilient agricultural systems that address future environmental and biological challenges.","可持续的植物病害管理对于维持农业生产力、环境健康和全球粮食安全至关重要。气候变化加剧了作物对新发和再发植物病害的脆弱性，给农业可持续性带来了重大挑战。尽管合成化学农药长期以来在病害防控中行之有效，但其广泛使用正日益受到质疑，原因包括环境污染、病原菌抗药性以及对人类和生态系统健康的潜在风险。因此，植物病害管理（plant disease management, PDM）正转向更加可持续和综合的途径。未来的策略预计将融合多个学科，包括：(i) 生物防治和微生物组工程，以增强植物天然防御机制；(ii) 先进的分子和基因组技术，如CRISPR\u002FCas系统、RNA干扰（RNAi）和表观基因组编辑，以培育持久抗病性；(iii) 用于精准施用抗菌化合物和防御诱导子的智能递送系统；(iv) 基于纳米技术的平台，用于靶向递送养分、农药和生物防治剂，在提高功效的同时减少化学投入；(v) 数字和精准农业技术，包括遥感、无人机（UAVs）和基于人工智能（AI）的诊断，以促进实时病害监测和靶向干预；以及(vi) 农业生态实践，如作物多样化、土壤健康恢复和气候智慧型农业，以增强农业生态系统的韧性。这些创新不仅旨在抑制植物病原菌，还旨在构建可持续、适应性强且具有韧性的农业系统，以应对未来的环境和生物挑战。","Sustainability","2026-10-20T00:00:00Z",81,{"impact":17,"substance":98,"depth":18,"authority":19,"freshness":212,"relevant":21,"comment":402},"系统综述可持续植物病害管理六大技术方向，涵盖AI诊断、纳米递送与基因编辑，对智慧农业与绿色防控具参考价值。",[404],{"name":398,"url":395},[26,253,218,406,241,407],"植物病害","纳米技术",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":411},{"candidates":412,"agricultural_evidence":46},[413,417,421,425,432,438,442,448,452],{"code":67,"score":212,"supported":46,"title":414,"abstract":415,"tags":416},[],[253,254],[26,253],{"code":32,"score":245,"supported":46,"title":418,"abstract":419,"tags":420},[],[48,241],[241],{"code":244,"score":87,"supported":46,"title":422,"abstract":423,"tags":424},[],[217,248],[],{"code":426,"score":87,"supported":46,"title":427,"abstract":428,"tags":431},"H2",[],[429,430],"土壤","soil",[],{"code":271,"score":87,"supported":46,"title":433,"abstract":434,"tags":437},[],[435,436],"气候变化","climate change",[],{"code":257,"score":87,"supported":46,"title":439,"abstract":440,"tags":441},[],[260,261],[],{"code":443,"score":61,"supported":46,"title":444,"abstract":445,"tags":447},"H6",[],[446],"农业生态",[],{"code":132,"score":61,"supported":46,"title":449,"abstract":450,"tags":451},[],[279],[],{"code":282,"score":21,"supported":13,"title":453,"abstract":454,"tags":455},[],[],[218],[457,458],"CRISPR RNAi 作物抗病","基因编辑 智慧农业 植物病害 生物防治","CRISPRRNAi作物抗病-5480","10.3390\u002Fsu182010661",{"doi":460,"openalex_id":462,"authors":463,"venue":398,"cited_by_count":77,"oa_url":395,"card":488,"direction":82,"ingested_from":334},"W7223044776",[464,467,470,473,476,479,482,485],{"name":465,"orcid":466},"Karim M. Hassan","https:\u002F\u002Forcid.org\u002F0000-0002-1241-2307",{"name":468,"orcid":469},"Basma T. Abd-Elhalim","https:\u002F\u002Forcid.org\u002F0000-0002-3009-332X",{"name":471,"orcid":472},"Mohamed K. Abou El-Nasr","https:\u002F\u002Forcid.org\u002F0000-0003-1451-833X",{"name":474,"orcid":475},"Essam Yosef Abdul-Hafeez","https:\u002F\u002Forcid.org\u002F0000-0003-4744-4672",{"name":477,"orcid":478},"Ahmed N. Abdelhamid","https:\u002F\u002Forcid.org\u002F0000-0002-1326-7885",{"name":480,"orcid":481},"Mostafa Abdelkader","https:\u002F\u002Forcid.org\u002F0000-0003-2339-5087",{"name":483,"orcid":484},"Mohamed Abd El-Hamed Nasser","https:\u002F\u002Forcid.org\u002F0000-0002-0328-2969",{"name":486,"orcid":487},"Mahmoud A. A. Ali","https:\u002F\u002Forcid.org\u002F0000-0002-9062-0048",{"tldr":489,"method":490,"finding":491,"direction":82,"opportunity":492},"综述植物病害可持续管理的多学科前沿进展、挑战与未来方向。","文献综述，整合生物防治、基因编辑、纳米递送、数字农业与生态农艺。","未来病害管理需融合生物、分子、纳米与数字技术构建韧性农业系统。","遥感、无人机与AI诊断的实时病害监测闭环仍缺田间验证与低成本落地研究。","2026-10-21T23:30:09.242484Z",{"id":495,"title":496,"url":497,"summary":498,"summary_zh":8,"content":499,"source_name":500,"source_url":8,"published_at":501,"category":155,"cover_url":8,"hotness":12,"is_selected":13,"score":502,"score_detail":503,"sources":506,"tags":508,"primary_topic":512,"secondary_topics":513,"classification":514,"search_phrases":540,"slug":543,"view_count":21,"doi":8,"paper":8,"created_at":544},5108,"广西西林:粤桂协作赋能 深山桔园请来「AI管家」 化肥农药减量20%以上","https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002F2026-10\u002F16\u002Fcontent_39050109.htm","广西百色市西林县古障镇仙仁掌村桔园,无人机升空巡测快速识别叶片黄化、缺水、病虫害等异常。依托粤桂协作对口帮扶资源,西林联合深圳市罗湖区、深圳市丰农控股,在233亩核心示范基地搭建「无人机+AI」全域监测平台,气象、墒情、虫情、灾情监测设备全天候运行。核心示范区化肥、农药用量减少20%以上,人工管护成本下降30%,果树亩均产量提升15%,优质果率提高8个百分点;全镇果园管理效率提升60%,每年减少农业灾害损失100万至150万元,全域每年节约农资成本超1426万元。","![Image 3](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002FgmwLogo_share.jpg)\n\n点击右上角![Image 4](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fmgmw\u002Ficonshare.png)微信好友\n\n![Image 5](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fmgmw\u002Fpengyouquan.png)朋友圈\n\n![Image 6](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fmgmw\u002Flayershare.png)\n\n请使用浏览器分享功能进行分享\n\n![Image 7](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fmgmw\u002Farrow.png)\n\n[![Image 8: 地方频道](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fcontentlogo\u002F12684.gif)](https:\u002F\u002Fdifang.gmw.cn\u002F)\n\n![Image 9](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fmgmw\u002Fmline.png)![Image 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[时评](https:\u002F\u002Fguancha.gmw.cn\u002F)\n*   [理论](https:\u002F\u002Ftheory.gmw.cn\u002F)\n*   [文化](https:\u002F\u002Fculture.gmw.cn\u002F)\n*   [科技](https:\u002F\u002Ftech.gmw.cn\u002F)\n*   [教育](https:\u002F\u002Fedu.gmw.cn\u002F)\n*   [![Image 13](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fconimages\u002Fcon_headIcon.png)](https:\u002F\u002Fwww.gmw.cn\u002Fmap.htm)\n\n正在阅读：广西西林:粤桂协作赋能，深山桔园请来 “AI 管家”\n\n[首页](https:\u002F\u002Fwww.gmw.cn\u002F)>[![Image 14](https:\u002F\u002Fimg.gmw.cn\u002Fpic\u002Fcontentlogo\u002F12684.gif)](https:\u002F\u002Fdifang.gmw.cn\u002F)[地方频道](https:\u002F\u002Fdifang.gmw.cn\u002F)>[地方频道－广西](https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002F)>[当地新闻](https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002Fnode_12944.htm)>正文\n\n# 广西西林:粤桂协作赋能，深山桔园请来 “AI 管家”\n\n来源：[光明日报客户端](https:\u002F\u002Fapp.gmdaily.cn\u002Fas\u002Fopened\u002Fn\u002F59cdd34806ab4ec7b66540c2cb9dc89e)2026-10-16 12:43\n\n[](https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002F2026-10\u002F16\u002Fcontent_39050109.htm)[X](javascript:;)[](https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002F2026-10\u002F16\u002Fcontent_39050109.htm)\n\n清晨，广西百色市西林县古障镇仙仁掌村桔园，晨露未消，无人机升空巡测，快速识别叶片黄化、缺水、病虫害等果园异常。智慧管护，正成为当地沙糖桔产业的生产常态。\n\n西林是“中国沙糖桔之乡”，沙糖桔种植面积达22.46万亩，是群众增收的支柱产业。但境内山地多、果园地块零散，长期沿用传统管护模式，施肥打药依靠经验，收成受天气影响大。粗放种植造成果品品质不稳定，病虫害、自然灾害带来减产风险，制约产业效益提升。\n\n![Image 15: twitter](https:\u002F\u002Fimgdifang.gmw.cn\u002Fattachement\u002Fpng\u002Fsite2\u002F20261016\u002Fe4232a100a384446b18875424e94dd72.png)\n\n依托粤桂协作对口帮扶资源，西林联合深圳市罗湖区、深圳市丰农控股，在古障镇仙仁掌村打造智慧农业试点，搭建“无人机+AI”全域监测平台，探索山地桔园数字化管护，破解“看天吃饭”困境。\n\n在233亩核心示范基地，气象、墒情、虫情、灾情监测设备全天候运行，无人机定期空中巡园，土壤、病虫害、气象等数据实时回传。AI系统自动分析研判，给出农事指导，改变过去果农肉眼巡查果园的传统方式。\n\n项目按照“基地做示范，全镇一张图，全县一个码”三步走推进智慧果园建设。先以上、下俄屯基地打造样板，配套海拔梯度采集点，跑通“数据采集—AI建模—标准输出”流程，优化适配本地沙糖桔的算法模型，解决智慧农业技术“水土不服”问题。第二步完成全镇7.13万亩沙糖桔标准化航测，建成“产业一张图”数字平台，地块信息、产业风险一屏可查，产业管理由凭经验估变为凭数据管。第三步打造“掌上桔事”小程序，把灾害预警、农事指导、AI问诊直达农户手机。目前小程序正在内测，上线后将惠及全县8万多户果农。\n\n![Image 16: twitter](https:\u002F\u002Fimgdifang.gmw.cn\u002Fattachement\u002Fpng\u002Fsite2\u002F20261016\u002Ff025b13ba3384034afba14495fc87f4d.png)\n\n“以前种果全靠摸索，天天跑果园巡查，病虫害也不好分辨。现在靠AI系统管护省心很多，期待明年好收成。”首批试点果农、古障镇仙仁掌村上俄屯组长秦锋说。\n\n数字化落地成效显著。核心示范区化肥、农药用量减少20%以上，人工管护成本下降30%，果树亩均产量提升15%，优质果率提高8个百分点；全镇果园管理效率提升60%，每年减少农业灾害损失100万至150万元，全域每年节约农资成本超1426万元。\n\n不少地方智慧农业容易变成观赏“盆景”。西林立足山地特点，聚焦生产实效、农户增收，让数字技术扎根田间。丰农控股广西总经理陈洁介绍，依托AI技术加持，深山沙糖桔产业迎来新机遇。西林计划用三到五年推动沙糖桔产业从“靠人力、凭经验”转向“靠系统、用数据”，打造山地沙糖桔全链路数智化样板。（光明日报全媒体记者 周仕兴 通讯员 杨先能）\n\n[ 责编：王宏泽 ]\n\n阅读剩余全文（）\n\n![Image 17](https:\u002F\u002Fimg.gmw.cn\u002Fcontent_banner\u002Fcontent_840x120_qrcodes.jpg)\n\n## 相关阅读\n\n*   [![Image 18](https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002F2026-10\u002F16\u002Fcontent_39050109.htm)](javascript:;)    \n*   [![Image 19](https:\u002F\u002Fdifang.gmw.cn\u002Fgx\u002F2026-10\u002F16\u002Fcontent_39050109.htm)](javascript:;)    \n*   [](javascript:;)[](javascript:;)[](javascript:;)[](javascript:;)\n\n## 您此时的心情\n\n[![Image 20: 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日","2026-10-16T00:00:00Z",77,{"impact":18,"substance":98,"depth":504,"authority":19,"freshness":12,"relevant":21,"comment":505},16,"粤桂协作推动山地桔园AI全域监测落地，化肥农药减量20%以上、亩均增产15%等数据具体，是智慧农业从示范盆景走向生产实效的可复制样本。",[507],{"name":500,"url":497},[166,26,509,510,511],"农业人工智能","粤桂协作","沙糖桔",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":13,"version":40,"method":41,"evidence":515},{"candidates":516,"agricultural_evidence":46},[517,522,528,532,536],{"code":32,"score":518,"supported":46,"title":519,"abstract":520,"tags":521},11,[48],[48],[],{"code":523,"score":61,"supported":46,"title":524,"abstract":525,"tags":527},"B2",[],[526],"果树",[],{"code":67,"score":21,"supported":13,"title":529,"abstract":530,"tags":531},[],[],[26],{"code":132,"score":21,"supported":13,"title":533,"abstract":534,"tags":535},[],[],[509],{"code":193,"score":21,"supported":13,"title":537,"abstract":538,"tags":539},[],[],[166],[541,542],"广西西林 沙糖桔 AI管家","粤桂协作 智慧果园 西林","广西西林沙糖桔AI管家-5108","2026-10-17T00:13:01.843117Z"]