[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-435":3,"related-435":104},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":8,"published_at":11,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"primary_topic":31,"secondary_topics":37,"classification":50,"search_phrases":99,"slug":102,"view_count":83,"doi":8,"paper":8,"created_at":103},435,"三节点采样方案实现滴灌棉田温室气体精准采集——中国农科院西部中心与棉花所建立干旱区棉田碳监测技术体系","https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fkyhd\u002F7ef7293fed924affbc040b406faa3a4e.htm","中国农业科学院西部农业研究中心联合棉花研究所揭示了干旱区滴灌棉田温室气体排放变化规律,建立了三节点滴灌棉田温室气体精准采集技术体系。膜下滴灌水肥一体化技术为新疆棉花高产稳产提供了重要技术支撑,但灌溉施肥过程会引起土壤温室气体排放快速波动,传统采样方式难以实现农田温室气体的精准监测。研究发现,灌溉施肥后第1天是温室气体排放峰值形成的关键时期,据此提出了'灌溉前1天—灌溉后1天—灌溉后5天'三节点精准采样方案,相关研究成果发表在《农业水管理》(Agricultural Water Management)上。",null,"近日，中国农业科学院西部农业研究中心联合棉花研究所揭示了干旱区滴灌棉田温室气体排放变化规律，建立了三节点滴灌棉田温室气体精准采集技术体系。相关研究成果发表在《农业水管理（Agricultural Water Management）》上。\n\n膜下滴灌水肥一体化技术为新疆棉花高产稳产提供了重要技术支撑，但灌溉施肥过程会引起土壤温室气体排放快速波动，传统采样方式难以实现农田温室气体的精准监测。\n\n该研究发现，灌溉施肥后第1天是温室气体排放峰值形成的关键时期，据此提出了“灌溉前1天—灌溉后1天—灌溉后5天”三节点精准采样方案。该方案能够在减少采样工作量的同时，保留温室气体排放关键动态信息，保持较高的排放估算精度。研究构建的关键时期识别—精准采样优化—排放精准估算技术体系，为干旱区滴灌棉田温室气体监测提供了科学方案。","中国农业科学院 2026-08-08","2026-08-08T00:00:00Z","报道",10,false,78,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},20,22,18,14,4,1,"国家级科研机构发布滴灌棉田温室气体监测技术体系，方法新颖、数据详实，对农业碳减排有实质贡献，但发布已过4天，时效性稍弱。",[25],{"name":10,"url":6},[27,28,29,30],"中国农科院","棉花","温室气体","西部农业",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},"A6","cash-crops","棉麻糖与特色经作","\u002Ftopic\u002Ffield-crops\u002Fcash-crops","A",[38,44],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},"B7","protected-horticulture","设施园艺与植物工厂","\u002Ftopic\u002Fhorticulture\u002Fprotected-horticulture","B",{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate","H",{"status":51,"locked":14,"version":52,"method":53,"evidence":54},"classified","2026-10-22.2","rules",{"candidates":55,"agricultural_evidence":58},[56,62,68,73,81,88,94],{"code":32,"score":57,"supported":58,"title":59,"abstract":60,"tags":61},12,true,[28],[28],[28],{"code":39,"score":63,"supported":58,"title":64,"abstract":66,"tags":67},11,[65],"温室",[65],[],{"code":45,"score":63,"supported":58,"title":69,"abstract":71,"tags":72},[70],"干旱",[70],[],{"code":74,"score":75,"supported":58,"title":76,"abstract":77,"tags":80},"F3",6,[],[78,79],"施肥","水肥一体化",[],{"code":82,"score":83,"supported":58,"title":84,"abstract":85,"tags":87},"H2",3,[],[86],"土壤",[],{"code":89,"score":83,"supported":58,"title":90,"abstract":91,"tags":93},"H3",[],[92],"灌溉",[],{"code":95,"score":22,"supported":14,"title":96,"abstract":97,"tags":98},"H4",[],[],[29],[100,101],"中国农科院 温室气体 西部农业 棉花","中国农科院 温室气体","中国农科院温室气体西部农业棉花-435","2026-08-12T23:57:22.438495Z",{"total":75,"page":22,"page_size":75,"items":105},[106,209,245,288,346,394],{"id":107,"title":108,"url":109,"summary":110,"summary_zh":111,"content":8,"source_name":112,"source_url":109,"published_at":113,"category":114,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":115,"sources":118,"tags":120,"primary_topic":126,"secondary_topics":127,"classification":134,"search_phrases":171,"slug":174,"view_count":22,"doi":175,"paper":176,"created_at":208},4353,"Breeding innovations focused on drought tolerance, and Nitrogen and phosphorus uptake, for sustainable and climate-resilient sugarcane","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffpls.2026.1925822","Sugarcane ( Saccharum spp.) is a strategic agro-industrial crop with a central role in global sugar production, bioethanol generation, and the development of sustainable bioeconomy systems. Beyond sugar, sugarcane by-products such as bagasse, molasses, and vinasse represent valuable resources for renewable energy, biofuels, biopolymers, and circular production systems. However, climate change threatens sugarcane productivity worldwide through increased temperatures, irregular rainfall patterns, and intensified drought events, directly affecting biomass accumulation, photosynthesis, and crop yield. This review summarizes current advances in climate-resilient sugarcane breeding and sustainable nutrient management strategies, with emphasis on drought tolerance, nitrogen-use efficiency (NUE), and phosphorus-use efficiency (PUE). Drought induces significant physiological, biochemical, and molecular alterations in sugarcane, including reduced growth, impaired photosynthetic activity, osmotic imbalance, and oxidative stress. Advances in breeding programs, omics technologies, molecular markers, and genetic engineering have improved the understanding of drought tolerance mechanisms and enabled the identification of stress-responsive genes, transcription factors, and candidate molecular markers associated with resilience. In parallel, improving NUE and PUE has become essential to reduce fertilizer dependence and mitigate environmental impacts associated with nutrient losses. Integrated management strategies involving enhanced-efficiency fertilizers, precision agriculture, biological Nitrogen fixation, microbial inoculants, residue recycling, and the development of nutrient-efficient genotypes have shown promising results. Although significant progress has been achieved in genomics and biotechnology, the genetic complexity of sugarcane and limited knowledge of nutrient-related pathways still constrain the development of highly efficient cultivars. The integration of advanced breeding technologies with sustainable agronomic practices will be crucial to ensure resilient and environmentally sustainable sugarcane production under future climate scenarios.","甘蔗（*Saccharum* spp.）是一种战略性农业工业作物，在全球蔗糖生产、生物乙醇制造及可持续生物经济体系发展中发挥着核心作用。除蔗糖外，甘蔗副产品如蔗渣、糖蜜和酒糟是可再生能源、生物燃料、生物聚合物和循环生产系统的宝贵资源。然而，气候变化通过气温升高、降雨模式异常和干旱事件加剧，对全球甘蔗生产力构成威胁，直接影响生物量积累、光合作用和作物产量。本文综述了气候韧性甘蔗育种和可持续养分管理策略的当前进展，重点关注耐旱性、氮利用效率（NUE）和磷利用效率（PUE）。干旱诱导甘蔗发生显著的生理、生化和分子层面的改变，包括生长受阻、光合活性受损、渗透失衡和氧化胁迫。育种计划、组学技术、分子标记和基因工程方面的进展增进了对耐旱机制的理解，并使得与抗逆性相关的胁迫响应基因、转录因子和候选分子标记的鉴定成为可能。与此同时，提高NUE和PUE对于减少肥料依赖和缓解养分流失带来的环境影响已变得至关重要。涉及增效肥料、精准农业、生物固氮、微生物接种剂、残体循环利用以及养分高效基因型开发的综合管理策略已显示出良好前景。尽管在基因组学和生物技术方面已取得重大进展，但甘蔗的遗传复杂性以及对养分相关通路认识的有限性仍制约着高效品种的培育。将先进育种技术与可持续农艺实践相结合，对于确保未来气候情景下甘蔗生产的韧性和环境可持续性至关重要。","Frontiers in Plant Science","2026-10-05T00:00:00Z","论文",{"impact":19,"substance":17,"depth":19,"authority":20,"freshness":116,"relevant":22,"comment":117},8,"系统综述甘蔗抗旱与氮磷高效育种进展，属种业与气候韧性农业前沿，具行业参考价值。",[119],{"name":112,"url":109},[121,122,123,124,125],"分子育种","气候韧性农业","抗旱育种","甘蔗育种","氮磷高效",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[128,129],{"code":45,"slug":46,"name":47,"path":48,"parent_code":49},{"code":74,"slug":130,"name":131,"path":132,"parent_code":133},"fertilizers","肥料与水肥一体化","\u002Ftopic\u002Finputs-equipment\u002Ffertilizers","F",{"status":51,"locked":14,"version":52,"method":53,"evidence":135},{"candidates":136,"agricultural_evidence":58},[137,144,151,159,166],{"code":45,"score":19,"supported":58,"title":138,"abstract":140,"tags":143},[139],"drought",[141,70,142,139],"气候变化","climate change",[122],{"code":32,"score":145,"supported":58,"title":146,"abstract":148,"tags":150},15,[147],"sugarcane",[149,147],"甘蔗",[124],{"code":74,"score":152,"supported":58,"title":153,"abstract":154,"tags":158},9,[],[155,156,157],"肥料","养分管理","fertilizer",[],{"code":160,"score":75,"supported":58,"title":161,"abstract":162,"tags":165},"I1",[],[163,164],"精准农业","precision agriculture",[],{"code":167,"score":22,"supported":14,"title":168,"abstract":169,"tags":170},"F2",[],[],[121],[172,173],"甘蔗 抗旱育种 氮磷利用效率","气候韧性 甘蔗 可持续生产","甘蔗抗旱育种氮磷利用效率-4353","10.3389\u002Ffpls.2026.1925822",{"doi":175,"openalex_id":177,"authors":178,"venue":112,"cited_by_count":198,"oa_url":199,"card":200,"direction":206,"ingested_from":207},"W7220414785",[179,182,185,187,189,192,195],{"name":180,"orcid":181},"María Francisca Perera","https:\u002F\u002Forcid.org\u002F0000-0001-7356-0883",{"name":183,"orcid":184},"Josefina Racedo","https:\u002F\u002Forcid.org\u002F0000-0001-6874-1778",{"name":186,"orcid":8},"Aline Cestaro Salla Sá",{"name":188,"orcid":8},"Joao Vitor de Mello Vomero",{"name":190,"orcid":191},"Thiago Willian Almeida Balsalobre","https:\u002F\u002Forcid.org\u002F0000-0002-7488-0536",{"name":193,"orcid":194},"Márcio Roberto Soares","https:\u002F\u002Forcid.org\u002F0000-0002-9543-6450",{"name":196,"orcid":197},"Monalisa Sampaio Carneiro","https:\u002F\u002Forcid.org\u002F0000-0002-9835-7205",0,"https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fplant-science\u002Farticles\u002F10.3389\u002Ffpls.2026.1925822\u002Fpdf",{"tldr":201,"method":202,"finding":203,"direction":204,"opportunity":205},"综述甘蔗耐旱及氮磷高效利用的育种创新与可持续养分管理策略。","综述组学、分子标记、基因工程及精准农业与微生物菌剂等策略。","耐旱与养分高效基因型结合精准管理可提升气候韧性，但甘蔗遗传复杂仍制约育种。","农业绿色发展与碳","可探索甘蔗耐旱与氮磷高效协同的分子调控网络及多组学辅助设计育种。","农业遥感与作物表型","openalex","2026-10-07T23:30:19.189747Z",{"id":210,"title":211,"url":212,"summary":213,"summary_zh":8,"content":214,"source_name":215,"source_url":8,"published_at":216,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":217,"score_detail":218,"sources":221,"tags":223,"primary_topic":227,"secondary_topics":228,"classification":229,"search_phrases":240,"slug":243,"view_count":198,"doi":8,"paper":8,"created_at":244},4766,"棉花关键技术集成助力高温逆境下产量品质效益三丰收","https:\u002F\u002Fwap.sciencenet.cn\u002Fmobile.php?cat=T&id=572667","中国农业科学院西部农业研究中心在昌吉州老龙河综合试验基地举办棉花优质高产关键技术集成示范观摩会。千亩示范方实测籽棉平均亩产601.4公斤,集成中棉113优系、中新棉1号、3号等优质多抗新品种,以及高光效群体调控、智慧棉田管理、绿色病虫害防控等成套技术,节药15%以上、人工成本降低30%以上。","科学网—\n\n## 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[拍照手抖有用了！科学家用它重建植物三维信息](https:\u002F\u002Fwap.sciencenet.cn\u002Fmobile.php?type=detail&cat=T&id=572767&mobile=1)\n\n*   [研究人员实现4英寸单晶菱方氮化硼晶圆批量制备](https:\u002F\u002Fwap.sciencenet.cn\u002Fmobile.php?type=detail&cat=T&id=572766&mobile=1)\n*   [针对无人机电子垃圾危机，天大团队《科学》发文](https:\u002F\u002Fwap.sciencenet.cn\u002Fmobile.php?type=detail&cat=T&id=572765&mobile=1)\n*   [“核聚山城?智驭靶向”：第十八届全国放射性药物与标记化合物学术交流会在重庆举办](https:\u002F\u002Fwap.sciencenet.cn\u002Fmobile.php?type=detail&cat=T&id=572754&mobile=1)\n*   [通往“器官再生之路”](https:\u002F\u002Fwap.sciencenet.cn\u002Fmobile.php?type=detail&cat=T&id=572753&mobile=1)\n*   [AI写的字，开始自带“暗号”](https:\u002F\u002Fwap.sciencenet.cn\u002Fmobile.php?type=detail&cat=T&id=572752&mobile=1)","中国科学报 科学网 2026-10-10","2026-10-10T00:00:00Z",73,{"impact":18,"substance":19,"depth":20,"authority":219,"freshness":75,"relevant":22,"comment":220},13,"报道中国农科院棉花高温逆境关键技术集成取得产量品质效益三丰收，属细分领域实质进展，但时效稍旧、信息增量有限，可入精选备选。",[222],{"name":215,"url":212},[224,27,28,225,226],"智慧农业","技术集成","高温逆境",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":51,"locked":14,"version":52,"method":53,"evidence":230},{"candidates":231,"agricultural_evidence":58},[232,236],{"code":32,"score":57,"supported":58,"title":233,"abstract":234,"tags":235},[28],[28],[28],{"code":160,"score":22,"supported":14,"title":237,"abstract":238,"tags":239},[],[],[224],[241,242],"中国农科院 棉花 高温逆境","棉花 关键技术集成 产量品质","中国农科院棉花高温逆境-4766","2026-10-13T00:08:35.350655Z",{"id":246,"title":247,"url":248,"summary":249,"summary_zh":8,"content":250,"source_name":251,"source_url":8,"published_at":252,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":253,"score_detail":254,"sources":258,"tags":260,"primary_topic":263,"secondary_topics":264,"classification":270,"search_phrases":282,"slug":285,"view_count":286,"doi":8,"paper":8,"created_at":287},350,"解码棉纤维密码:从绘制'地图'到锻造'芯片'——中国农科院棉花所杨作仁团队构建油菜素内酯调控网络","https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fmtxw\u002Fb894e7ba175c44faad6347b7fe003936.htm","中国农科院棉花所杨作仁团队创制棉花首个油菜素内酯缺陷型突变体,证实内源油菜素内酯是棉花纤维伸长的中枢调控因子;首次发现油菜素内酯通过促进超长链脂肪酸合成推动纤维细胞发育,系统解析调控网络并构建发育模型。团队还建立基于茎尖分生组织的不依赖基因型的遗传转化体系,将棉花遗传转化周期从7~8个月缩短至2~3个月。基于此创制出自然界不存在的粉红色纤维,以及高效合成虾青素的功能型棉花新材料。目前纤维改良新材料已发放给全国13家育种单位,创制优异种质500余份,15份材料进入转基因安全评价程序,授权发明专利6项,获新疆自然科学奖一等奖。","2025年6月，团队联合中国农科院生物技术所成功创制高效合成虾青素的功能型棉花新材料，为开发“非纤维经济”提供全新范式。\n\n“种子是农业的芯片。”目前，团队创制的纤维改良新材料已发放给全国13家育种单位，包括新疆农科院、新疆农垦科学院、石河子农科院、塔河种业等7家新疆单位，开展联合育种，创制优异种质500余份，15份材料进入转基因安全评价程序，授权发明专利6项。\n\n从2008年在中棉所研究员李付广指导下涉足棉花生物技术，到2020年援疆，再到扎根新疆，杨作仁在这个领域已深耕18年。他说：“老一辈用锄头在新疆戈壁开垦棉田，我们新时代科研工作者要用尖端技术助力产业高质量发展，把基础研究的根扎深，让科技大树结出更好种子。”","中国科学报 2026-08-07","2026-08-07T00:00:00Z",80,{"impact":255,"substance":18,"depth":256,"authority":20,"freshness":83,"relevant":22,"comment":257},25,16,"报道棉花纤维改良重大科研进展，影响全国育种单位，信息详实，但时效性稍差。",[259],{"name":251,"url":248},[27,261,28,262],"种质创新","杨作仁",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[265],{"code":266,"slug":267,"name":268,"path":269,"parent_code":36},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds",{"status":51,"locked":14,"version":52,"method":53,"evidence":271},{"candidates":272,"agricultural_evidence":58},[273,277],{"code":32,"score":57,"supported":58,"title":274,"abstract":275,"tags":276},[28],[28],[28],{"code":266,"score":63,"supported":58,"title":278,"abstract":280,"tags":281},[279],"油菜",[279],[],[283,284],"中国农科院 种质创新 杨作仁 棉花","中国农科院 种质创新","中国农科院种质创新杨作仁棉花-350",5,"2026-08-10T23:54:42.347239Z",{"id":289,"title":290,"url":291,"summary":292,"summary_zh":293,"content":8,"source_name":294,"source_url":291,"published_at":295,"category":114,"cover_url":8,"hotness":13,"is_selected":14,"score":296,"score_detail":297,"sources":299,"tags":301,"primary_topic":305,"secondary_topics":306,"classification":307,"search_phrases":330,"slug":333,"view_count":22,"doi":334,"paper":335,"created_at":345},5233,"Cotton pest and disease multi-class classification with weather and temporal predictors features across Indian agroclimatic zones","https:\u002F\u002Fdoi.org\u002F10.25258\u002Fijddt.16.73s.45","The Pink Bollworm (Pectinophora gossypiella) remains one of the most destructive pests affecting cotton productivity, with infestation levels strongly driven by climatic fluctuations and crop phenology.This study presents a machine learning-based framework for early multi-classification and prediction of Pink Bollworm incidence using agro-meteorological variables.The dataset includes maximum and minimum air temperature, relative humidity, rainfall, sunshine hours, evaporation, and wind speed, all of which influence Pink Bollworm development, migration, and reproductive cycles.After preprocessing, applying cyclic encoding to temporal variables, and generating lagged climatic features, multiple machine learning algorithms-including SVM, Neural Networks, KNN, Regression models, Ensemble methods, and Naïve Bayes-were trained and systematically compared.SVM model demonstrated the best test accuracy, effectively capturing dynamic climate-pest interactions.The resulting MATLAB-based classification tool enables rapid assessment and supports climate-informed pest surveillance.A stratified 80:20 train-test split was employed, with 5-fold cross-validation on the training set for hyperparameter tuning, ensuring no data leakage between partitions.The validation and training accuracies of these models are 89.4% and 96 % respectively.Overall, the model offers a practical and interpretable solution for early detection of Pink Bollworm risk, thereby contributing to informed decision-making in integrated pest management (IPM) and precision agriculture.","棉红铃虫（Pectinophora gossypiella）仍是影响棉花产量最具破坏性的害虫之一，其发生程度受气候波动和作物物候的强烈驱动。本研究提出了一种基于机器学习的框架，利用农业气象变量对棉红铃虫的发生进行早期多分类与预测。数据集包括最高和最低气温、相对湿度、降雨量、日照时数、蒸发量和风速，这些因素均影响棉红铃虫的发育、迁移和繁殖周期。经过预处理、对时间变量应用循环编码并生成滞后气候特征后，训练并系统比较了多种机器学习算法，包括支持向量机（SVM）、神经网络、K近邻（KNN）、回归模型、集成方法和朴素贝叶斯。SVM模型表现出最佳的测试准确率，有效捕捉了气候与害虫之间的动态相互作用。所构建的基于MATLAB的分类工具可实现快速评估，并支持气候信息驱动的害虫监测。采用分层80：20的训练-测试划分，并在训练集上进行5折交叉验证以调优超参数，确保各分区之间无数据泄漏。这些模型的验证准确率和训练准确率分别为89.4%和96%。总体而言，该模型为棉红铃虫风险的早期检测提供了一种实用且可解释的解决方案，从而有助于综合害虫管理（IPM）和精准农业中的科学决策。","International Journal of Drug Delivery Technology","2026-10-17T00:00:00Z",55,{"impact":116,"substance":19,"depth":20,"authority":75,"freshness":152,"relevant":22,"comment":298},"研究用多类机器学习模型结合气象与时序特征预测棉铃虫风险，方法扎实但属细分领域应用研究，信源期刊权威性一般，公共影响有限。",[300],{"name":294,"url":291},[224,302,28,303,304],"机器学习","农业气象","病虫害预警",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":51,"locked":14,"version":52,"method":53,"evidence":308},{"candidates":309,"agricultural_evidence":58},[310,315,320,326],{"code":32,"score":145,"supported":58,"title":311,"abstract":313,"tags":314},[312],"cotton",[28,312],[28],{"code":160,"score":316,"supported":58,"title":317,"abstract":318,"tags":319},7,[],[163,164],[224],{"code":321,"score":316,"supported":58,"title":322,"abstract":323,"tags":325},"I2",[],[302,324],"machine learning",[302],{"code":45,"score":21,"supported":58,"title":327,"abstract":328,"tags":329},[],[303],[303],[331,332],"棉铃虫 机器学习 预测","棉花 病虫害 气象因子","棉铃虫机器学习预测-5233","10.25258\u002Fijddt.16.73s.45",{"doi":334,"openalex_id":336,"authors":337,"venue":294,"cited_by_count":198,"oa_url":291,"card":338,"direction":344,"ingested_from":207},"W7222826491",[],{"tldr":339,"method":340,"finding":341,"direction":342,"opportunity":343},"用农业气象变量与时间特征构建机器学习模型，实现印度棉区棉铃虫多级发生预测。","气象数据加周期编码与滞后特征，比较SVM等模型，5折交叉验证。","SVM测试精度最高达89.4%，能有效刻画气候与虫害动态关系。","农业人工智能与决策模型","可引入遥感植被指数与实时气象物联网数据，构建跨区域可迁移的病虫害预警系统。","智慧农业 \u002F 农业物联网","2026-10-18T23:30:07.725427Z",{"id":347,"title":348,"url":349,"summary":350,"summary_zh":8,"content":351,"source_name":352,"source_url":8,"published_at":353,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":354,"score_detail":355,"sources":359,"tags":361,"primary_topic":365,"secondary_topics":366,"classification":367,"search_phrases":389,"slug":392,"view_count":22,"doi":8,"paper":8,"created_at":393},5031,"智慧棉田成就新疆新一代科技棉农","https:\u002F\u002Fwww.news.cn\u002Flocal\u002F20261015\u002F048734cea69b466eac74966f7b4d0074\u002Fc.html","金秋十月,天山南北棉花吐絮迎来采收。在塔克拉玛干沙漠北缘的尉犁县'超级棉田',采棉机来回穿梭,朵絮归仓。新疆是中国最大优质棉花生产基地,2025年新疆棉花产量占全国92.8%,总产、单产连续32年居全国第一。2021年极飞科技在尉犁县启动'超级棉田'项目,目前管理环节无人化作业率已达75%,栽培管理模式在全疆推广面积已超200万亩。今年更新的X150新型农业无人机可自动配药、加药、充电、规划航线,自主喷药作业。'90后'家庭农场主郭腾承包2.5万亩棉田,日常管护只需50名工人,返乡种棉成为越来越多年轻人的选择。","  新华社乌鲁木齐10月14日电（记者潘莹、宿传义、高晗）金秋十月，天山南北棉花吐絮，迎来采收。在塔克拉玛干沙漠北缘的尉犁县“超级棉田”，伴随着一台台采棉机来回穿梭，洁白的棉花被采摘、压缩、打包，朵絮归仓。\n\n  “前不久，田里用上一款新款农业无人机，不需要飞手操作，棉花采收环节更加智能化。”“超级棉田”项目负责人艾海鹏说。\n\n  新疆是中国最大优质棉花生产基地，2025年新疆棉花产量占全国产量的92.8%，总产、单产连续32年居全国第一。如今，在新疆，这样的智慧化场景正逐渐贯穿棉花生产全过程，并加速从示范走向普及，一批懂技术、善经营、会管理的“新一代棉农”应运而生。\n\n  在新疆巴音郭楞蒙古自治州尉犁县“超级棉田”中，农业无人机在田间喷洒脱叶剂（2026年9月20日摄，无人机照片）。新华社发（汪志鹏 摄）\n\n  尉犁县气候干燥、光热充足，是中国优质商品棉种植基地，棉花种植面积稳定在100多万亩。2021年，在尉犁县支持下，农业机器人企业极飞科技启动“超级棉田”项目，派出艾海鹏、凌磊两位“90后”管理经营3000亩棉田，探索可复制、可推广的无人化农业管理模式。\n\n  两人从解决棉花管理中最耗人工的灌溉难题入手，持续升级无人化、智能化监测管理的新技术、新设备，让“超级棉田”管理模式与大规模棉花种植高度适配，实现产量更高、品质更优。\n\n  “通过多年努力，‘超级棉田’已实现水、肥、药的智能化管理，目前管理环节无人化作业率已达75%。”艾海鹏说。截至2025年底，“超级棉田”的栽培管理模式在全疆推广面积已超200万亩。\n\n  今年，“超级棉田”又更新了一批新装备：耕种环节用上最新的APC4自驾仪，播种机可自动断膜断带，进一步节省人工。最让管理者津津乐道的，当属X150新型农业无人机。这款无人机可自动配药、加药、充电、规划航线、自主喷药作业，适配除草、防虫、防病等一系列田间需求。\n\n  在棉花吐絮关键期，记者在“超级棉田”作业现场看到，艾海鹏在手机上选好模板、点击“立即开始”，机器人便自主起降、补能，既不需要飞手，也不需要遥控器。手机屏上，药箱空满状态和地面药罐余量一目了然。\n\n  “往年打药虽然也用无人机，但还需要飞手控制轨迹、及时补药换电池。现在把飞机放这儿就不用管了。晚上回去睡觉，第二天早上过来，它已经按要求完成了全部植保任务。”艾海鹏说，目前这款新型农业无人机已在全国推广。\n\n  “我们的目的是想要吸引越来越多年轻人回到农业这一行业。一个行业有年轻人加入，才能有朝气，有更大的发展空间。”艾海鹏说。\n\n  在新疆巴音郭楞蒙古自治州尉犁县“超级棉田”中，采棉机在采收棉花（2026年10月14日摄，无人机照片）。新华社发\n\n  在天山北麓的昌吉市佃坝镇东沟村，“90后”家庭农场主郭腾正盯着屏幕，调度巨大的采棉机在棉海里缓缓行进，源源不断吐出打包好的棉包。\n\n  郭腾是土生土长的昌吉人，一家两代人的种棉经历，正是新疆棉花从“靠人力”到“靠科技”转型发展的鲜活缩影。\n\n  他说，父辈种棉是实打实的苦差事：棉田管护加采收要投入大量人工，采收成本高，种植户收入却很有限。\n\n  “如今农村可发展的空间大了。”郭腾介绍，自己毕业后在城里闯荡过一段时间，随着新疆棉田科技含量越来越高，看到新一代棉农正面临机遇无限的职业图景，决定回乡种棉花。\n\n  如今，郭腾的家庭农场已配齐整套自主农机：4台采棉机、6台植保无人机、十余台播种机、3台大马力拖拉机；棉田用上水肥一体化精准滴灌、无人机植保，犁地、播种、打药、采收，全流程机械化。\n\n  “一台采棉机一天能收400至450亩，每亩采收环节油费加人工成本仅60元。”郭腾说，他承包的2.5万亩棉田日常管护只需50名工人，自己在手机上就能查看田间情况、调度农机作业。\n\n  返乡种棉正成为越来越多年轻人的选择。郭腾发现，与他长期合作的团队里，返乡年轻人越来越多。“只要掌握技术，采棉季每月赚5万元不成问题。”他说。\n\n  随着越来越多科技装备、先进技术在新疆广袤棉田推广普及，新疆棉田加速智慧化，更多年轻人在天山南北的棉田里，找到创业舞台。","新华社 2026 年 10 月 15 日","2026-10-14T23:50:00Z",84,{"impact":356,"substance":17,"depth":357,"authority":145,"freshness":116,"relevant":22,"comment":358},24,17,"央媒实地报道，以新疆超级棉田与新一代棉农为样本，呈现农业无人机自主作业与无人化管理模式从示范走向普及的产业级进展，数据与多方信源扎实，具主题聚合价值。",[360],{"name":352,"url":349},[224,362,28,363,364],"农业无人机","无人化农场","新疆棉田",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":51,"locked":14,"version":52,"method":53,"evidence":368},{"candidates":369,"agricultural_evidence":58},[370,374,379,385],{"code":32,"score":21,"supported":58,"title":371,"abstract":372,"tags":373},[],[28],[28],{"code":266,"score":83,"supported":58,"title":375,"abstract":376,"tags":378},[],[377],"花生",[],{"code":380,"score":83,"supported":58,"title":381,"abstract":382,"tags":384},"G2",[],[383],"家庭农场",[],{"code":160,"score":22,"supported":14,"title":386,"abstract":387,"tags":388},[],[],[224],[390,391],"新疆 超级棉田 极飞科技","尉犁县 智慧棉田 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