[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4624":3,"related-4624":66},{"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":23,"tags":25,"primary_topic":31,"secondary_topics":37,"classification":38,"search_phrases":60,"slug":63,"view_count":64,"doi":8,"paper":8,"created_at":65},4624,"中国农科院西部中心新疆昌吉千亩棉花示范方平均亩产601.4公斤","https:\u002F\u002Fwri.caas.cn\u002Fmtbd\u002F81c85d1a59794f6981378701dbecdb5f.htm","中国农业科学院西部农业研究中心在新疆昌吉老龙河示范基地打造千亩棉花示范方,2026年9月29日举办棉花优质高产关键技术集成示范观摩会。经专家组现场测产,千亩示范方平均亩产籽棉达601.4公斤,在北疆6-8月高温持续26天的极端气候条件下实现产量、品质、效益三丰收。示范品种包括中棉113优系、中新棉1号、中新棉3号,集成高光效群体调控技术与智慧棉田水肥精准供给。",null,"近日，记者从中国农业科学院西部农业研究中心（科技援疆指挥部）（以下简称西部中心）获悉，西部中心在新疆昌吉老龙河示范基地打造的千亩棉花示范方取得喜人成效。经专家组现场测产，籽棉平均亩产达601.4公斤，为北疆棉区应对极端气候、实现棉花优质高产提供了可复制、可推广的技术样板。\n\n据介绍，2026年新疆气候条件复杂，整体呈现“前期低温、中后期持续极端高温”情况。6-8月正值棉花结铃关键期，北疆高温持续26天，持续高温胁迫极易引发蕾铃脱落、严重制约棉花产量形成。9月29日，西部中心联合昌吉州农牧业技术推广中心、昌吉国家农业高新技术产业示范区及当地农业技术推广部门，在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。来自植棉县市、乡镇的农技人员、种植户、合作社负责人齐聚田间，实地观摩新品种、新技术示范成效，交流极端气候下棉田丰产的实践经验。\n\n现场，西部中心副研究员孔德培介绍了优质高产多抗棉花新品种，主要包括中棉113优系、中新棉1号、中新棉3号等。该系列品种生育期118-120天，抗枯萎耐黄萎病、抗旱耐盐碱，衣分45%以上，纤维品质达“双30”以上，产量潜力550-600公斤\u002F亩，结铃吐絮集中，适宜机械化采收。\n\n西部中心研究员宋美珍讲解高光效群体优势调控技术，通过构建“壮根健株、增铃数防中空、增铃重防花粉败育、优质多抗（抗高温、抗干旱、抗病虫等）高光效群体结构”，改善棉田通风透光条件，提升光温水肥利用率；应用该技术可节约农药15%以上，人工成本降低30%以上，产量提升10%以上，亩增效200-400元，实现增产节本提质。昌吉州农牧业技术推广中心研究员魏建华讲解棉花病虫害识别与绿色综合防控实操要点。西部中心助理研究员张潇镭介绍高产智慧棉田创建模式，借助传感器、气象站、巡检机器人、无人机等构建立体监测体系，依托物联网平台精准供给水肥，肥料利用率提升20%-30%，用水量减少30%以上。\n\n河北农业大学教授李存东代表专家组公布测产结果，千亩示范方平均亩产籽棉601.4公斤，在高温逆境条件下实现产量、品质、效益三丰收。项目团队表示，团队研发的集成技术，瞄准新疆棉花生产现实痛点，形成应对前期低温、中后期高温的综合技术方案。下一步，西部中心将加快新品种、新技术成果下沉推广，指导棉农科学应对极端天气，助力棉花大面积单产提升。","中国农科院西部农业研究中心 2026-10-10","2026-10-10T00:00:00Z","报道",10,false,84,{"impact":17,"substance":17,"depth":18,"authority":19,"freshness":20,"relevant":21,"comment":22},22,17,14,9,1,"国家级科研机构在新疆昌吉千亩棉花示范方实测亩产601.4公斤，集成新品种、高光效调控与智慧棉田技术，数据具体、信源权威，对北疆棉区抗逆高产具推广价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"种业振兴","棉花","新疆","智慧棉田","高产栽培",{"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",[],{"status":39,"locked":14,"version":40,"method":41,"evidence":42},"classified","2026-10-22.2","rules",{"candidates":43,"agricultural_evidence":46},[44,50,55],{"code":32,"score":45,"supported":46,"title":47,"abstract":48,"tags":49},12,true,[27],[27],[27],{"code":51,"score":21,"supported":14,"title":52,"abstract":53,"tags":54},"A8",[],[],[30],{"code":56,"score":21,"supported":14,"title":57,"abstract":58,"tags":59},"F1",[],[],[26],[61,62],"中国农科院西部中心 棉花 昌吉","中棉113 中新棉1号 棉花品种","中国农科院西部中心棉花昌吉-4624",0,"2026-10-11T00:09:41.436557Z",{"total":67,"page":21,"page_size":67,"items":68},6,[69,134,182,244,294,339],{"id":70,"title":71,"url":72,"summary":73,"summary_zh":8,"content":74,"source_name":75,"source_url":8,"published_at":76,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":77,"score_detail":78,"sources":82,"tags":84,"primary_topic":88,"secondary_topics":89,"classification":95,"search_phrases":129,"slug":132,"view_count":110,"doi":8,"paper":8,"created_at":133},4935,"中国农科院棉花所揭示角鲨烯合成协同促进棉花生长发育与抗逆性","https:\u002F\u002Fcricaas.com.cn\u002Fsylm\u002Fkyjz\u002Fc44ab2cf89bc44c682ab8105af99fbaf.htm","中国农业科学院棉花研究所棉花分子遗传改良创新团队在棉花角鲨烯生物合成及功能研究方面取得新进展,发现棉花角鲨烯合成关键基因GhSQS1能够提高棉花组织中的角鲨烯积累水平,并促进棉花生长发育,改善干旱和碱胁迫耐受性。相关成果发表于《实验植物学杂志》。过表达GhSQS1的代表性株系OE2叶片角鲨烯含量达989.1 mg\u002Fkg干重,较野生型提高约70%,叶片增大、根系发育改善、纤维伸长和种子增大。","### 角鲨烯合成促进棉花生长发育与抗逆性\n\n发布时间:2026-10-14 来源 ：**棉花分子遗传改良创新团队**作者：**徐雅梦**\n\n近日，中国农业科学院棉花研究所棉花分子遗传改良创新团队在棉花角鲨烯生物合成及功能研究方面取得新进展，发现棉花角鲨烯合成关键基因 _GhSQS1_ 能够提高棉花组织中的角鲨烯积累水平，并促进棉花生长发育，改善干旱和碱胁迫耐受性，为棉花遗传改良与副产物高值化利用提供了新思路。相关成果以“GhSQS1-mediated squalene accumulation coordinates cotton development and stress resilience”为题，发表于国际植物科学期刊《实验植物学杂志（Journal of Experimental Botany）》上。\n\n棉花是重要的天然纤维作物，其棉叶、棉籽等副产物也具有较高的开发利用潜力。角鲨烯是一种具有较高应用价值的三萜类化合物，在化妆品、营养保健等领域具有广泛应用，同时也是植物甾醇及其他三萜类化合物生物合成的重要前体。然而，角鲨烯生物合成与棉花生长发育及逆境适应之间的关系尚不明确，其潜在调控机制仍有待深入研究。\n\n该研究发现适宜浓度的角鲨烯可促进棉花主根伸长和离体胚珠发育，并鉴定出棉花中角鲨烯合成关键基因 _GhSQS1_。进一步研究发现，过表达该基因伴随油菜素内酯相关代谢及信号通路变化，且显著提高棉花叶片角鲨烯含量，其中代表性株系OE2达到989.1 mg\u002Fkg干重，较野生型提高约70%，同时表现出叶片增大、根系发育改善、纤维伸长和种子增大等性状。在模拟干旱和碱胁迫条件下，过表达该基因的植株表现出较强的耐受能力，并伴随抗氧化能力增强和膜脂过氧化程度降低。此外，异源表达真菌来源角鲨烯合酶也获得了类似的促生长表型，表明增强角鲨烯合成有助于改善棉花发育。研究结果表明，增强角鲨烯生物合成与棉花生长发育及逆境适应能力改善之间的联系，为通过代谢工程协同改良作物性状与提高功能性天然产物积累提供了新思路，也为棉花副产物高值化利用提供了研究基础。\n\n该研究得到中国农业科学院青年创新专项、河南省自然科学基金、新疆维吾尔自治区重点研发计划、国家自然科学基金、国家现代农业产业技术体系等项目支持。中棉所徐雅梦、张志甜、刘乐和贾舒元为论文共同第一作者，李付广研究员和杨作仁研究员为共同通讯作者。\n\n原文链接：https:\u002F\u002Fdoi.org\u002F10.1093\u002Fjxb\u002Ferag424\n\n![Image 1: 未标题-1xiu.jpg](https:\u002F\u002Fcricaas.com.cn\u002Fimages\u002F2026-10\u002F790d9cb6eae848e29b5c94cf46779bc5.jpg)\n\n角鲨烯合成增强协同促进棉花生长发育、抗逆性及生物质高值化利用示意图\n\n打印本页\n\n关闭本页","中国农业科学院棉花研究所 2026 年 10 月 14 日","2026-10-14T00:00:00Z",87,{"impact":17,"substance":17,"depth":79,"authority":80,"freshness":13,"relevant":21,"comment":81},18,15,"国家级科研机构在棉花角鲨烯合成基因GhSQS1上的新发现，兼具生长发育促进与抗旱耐碱改良价值，数据具体、期刊权威，值得进入每日精选。",[83],{"name":75,"url":72},[26,85,27,86,87],"生物育种","功能成分","抗旱耐盐",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[90],{"code":91,"slug":92,"name":93,"path":94,"parent_code":36},"A4","soybean-oilseeds","大豆与油料","\u002Ftopic\u002Ffield-crops\u002Fsoybean-oilseeds",{"status":39,"locked":14,"version":40,"method":41,"evidence":96},{"candidates":97,"agricultural_evidence":46},[98,102,108,115,120,124],{"code":32,"score":45,"supported":46,"title":99,"abstract":100,"tags":101},[27],[27],[27],{"code":91,"score":103,"supported":46,"title":104,"abstract":106,"tags":107},11,[105],"花生",[105],[],{"code":109,"score":110,"supported":46,"title":111,"abstract":112,"tags":114},"H7",3,[],[113],"干旱",[],{"code":116,"score":21,"supported":14,"title":117,"abstract":118,"tags":119},"E2",[],[],[86],{"code":56,"score":21,"supported":14,"title":121,"abstract":122,"tags":123},[],[],[26],{"code":125,"score":21,"supported":14,"title":126,"abstract":127,"tags":128},"F2",[],[],[85],[130,131],"中国农科院棉花所 GhSQS1","棉花 角鲨烯 抗逆","中国农科院棉花所GhSQS1-4935","2026-10-15T00:06:01.753012Z",{"id":135,"title":136,"url":137,"summary":138,"summary_zh":8,"content":8,"source_name":139,"source_url":8,"published_at":140,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":141,"score_detail":142,"sources":145,"tags":147,"primary_topic":151,"secondary_topics":152,"classification":153,"search_phrases":177,"slug":180,"view_count":168,"doi":8,"paper":8,"created_at":181},2228,"棉花所联合西部农业研究中心发布全球首个棉花领域专属大语言模型\"棉芯1.0\"","https:\u002F\u002Fdy.163.com\u002Farticle\u002FL6HM1VUQ05199FC8.html","中国农业科学院棉花研究所联合西部农业研究中心8月下旬发布全球首个棉花领域专属知识大语言模型\"CottonMind1.0\",覆盖棉花种质资源、品种性状、栽培管理、加工利用等全产业链数据,标志着农业AI从通用模型向行业垂直深耕转向。","中国农业科学院 布瑞克农业数据","2026-09-10T16:00:00Z",85,{"impact":143,"substance":17,"depth":18,"authority":19,"freshness":67,"relevant":21,"comment":144},26,"全球首个棉花领域专属大语言模型，覆盖全产业链数据，标志农业AI向垂直深耕转型，产业级突破值得入选。",[146],{"name":139,"url":137},[148,149,26,150,27],"智慧农业","农业人工智能","大语言模型",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":154},{"candidates":155,"agricultural_evidence":46},[156,160,166,172],{"code":32,"score":45,"supported":46,"title":157,"abstract":158,"tags":159},[27],[27],[27],{"code":56,"score":161,"supported":46,"title":162,"abstract":163,"tags":165},4,[],[164],"种质资源",[26],{"code":167,"score":168,"supported":14,"title":169,"abstract":170,"tags":171},"I2",2,[],[],[149,150],{"code":173,"score":21,"supported":14,"title":174,"abstract":175,"tags":176},"I1",[],[],[148],[178,179],"农业人工智能 大语言模型 智慧农业 种业振兴","农业人工智能 大语言模型","农业人工智能大语言模型智慧农业种业振兴-2228","2026-09-13T00:04:00.640632Z",{"id":183,"title":184,"url":185,"summary":186,"summary_zh":187,"content":8,"source_name":188,"source_url":185,"published_at":189,"category":190,"cover_url":8,"hotness":13,"is_selected":14,"score":191,"score_detail":192,"sources":195,"tags":197,"primary_topic":201,"secondary_topics":202,"classification":203,"search_phrases":227,"slug":230,"view_count":21,"doi":231,"paper":232,"created_at":243},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","论文",55,{"impact":193,"substance":79,"depth":19,"authority":67,"freshness":20,"relevant":21,"comment":194},8,"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。",[196],{"name":188,"url":185},[148,198,27,199,200],"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":39,"locked":14,"version":40,"method":41,"evidence":204},{"candidates":205,"agricultural_evidence":46},[206,211,218,223],{"code":32,"score":80,"supported":46,"title":207,"abstract":209,"tags":210},[208],"cotton",[27,208],[27],{"code":173,"score":212,"supported":46,"title":213,"abstract":214,"tags":217},7,[],[215,216],"精准农业","precision agriculture",[148],{"code":167,"score":212,"supported":46,"title":219,"abstract":220,"tags":222},[],[198,221],"machine learning",[198],{"code":109,"score":161,"supported":46,"title":224,"abstract":225,"tags":226},[],[199],[199],[228,229],"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":231,"openalex_id":233,"authors":234,"venue":188,"cited_by_count":64,"oa_url":185,"card":235,"direction":241,"ingested_from":242},"W7222826491",[],{"tldr":236,"method":237,"finding":238,"direction":239,"opportunity":240},"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","openalex","2026-10-18T23:30:07.725427Z",{"id":245,"title":246,"url":247,"summary":248,"summary_zh":8,"content":249,"source_name":250,"source_url":8,"published_at":251,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":252,"score_detail":253,"sources":257,"tags":259,"primary_topic":264,"secondary_topics":265,"classification":266,"search_phrases":289,"slug":292,"view_count":64,"doi":8,"paper":8,"created_at":293},5121,"淳安秋茧丰收 浙江省农科院「浙凤3号」抗血液型脓病雄蚕品种成果推介会举办","https:\u002F\u002Ftown.zjol.com.cn\u002Fczjsb\u002F202610\u002Ft20261015_31966797.shtml","淳安县今年秋茧全县共发放蚕种2630余张,收购鲜茧80吨左右。由浙江省农业科学院蚕桑与茶叶研究所主办、杭州千岛湖蚕种有限公司承办的优质抗病雄蚕品种「浙凤3号」成果推介现场会在淳安召开。「浙凤3号」是国内外首次利用抗病雌蚕无性克隆系与平衡致死系杂交育成的抗血液型脓病雄蚕品种,抗病性能突出,蚕种生产可省去雌雄鉴别工序,降低繁育用工成本。「浙凤3号」在淳安5个养蚕重点村完成引进与示范试验,健蛹率达98.95%,解舒率75.17%,干毛茧出丝率39.82%,洁净得分94.88分。","金秋十月，淳安县威坪、浪川等多个乡镇蚕农迎来第五季蚕茧（秋茧）丰收时。\n\n从淳安县农发集团茧丝绸公司了解到，今年秋茧全县共发放蚕种2630余张，收购鲜茧80吨左右，为蚕农再添一笔不错的收入。十月底，辛苦了一年的蚕农们将迎来今年最后一季（第六季）蚕茧收购。\n\n近年来，在“非粮化”整治导致桑园面积缩减的大背景下，淳安县持续深化“公司＋农户”合作模式，牢牢稳住蚕桑产业基本盘。同时，该县不断为产业注入科技动能，推广雄蚕品种占比接近80％，小蚕工厂化饲育、绿色防控等新技术全面应用，推动传统蚕桑产业快步向现代产业转型。\n\n![Image 1](https:\u002F\u002Fmeizi-zjol-1577-pub.zjol.com.cn\u002Fczjsb\u002F202610\u002F2110666142374928384_1280px.jpg)\n\n这不，这边刚忙乎完秋茧收购，那边由浙江省农业科学院蚕桑与茶叶研究所主办、杭州千岛湖蚕种有限公司承办的优质抗病雄蚕品种“浙凤3号”成果推介现场会日前也在淳安召开。\n\n来自省农科院、淳安县农业农村局、淳安县茧丝绸有限公司、蚕种繁育与推广单位的代表齐聚千岛湖，围绕“浙凤3号”品种大规模繁育技术要点、基层推广路径、配套饲育技术集成等问题深入交换意见，共同推进优质抗病雄蚕新品种示范推广，助力蚕农增收和蚕桑产业高质量发展。\n\n![Image 2](https:\u002F\u002Fmeizi-zjol-1577-pub.zjol.com.cn\u002Fczjsb\u002F202610\u002F2110666142374928386_1280px.jpg)\n\n据了解，“浙凤3号”是国内外首次利用抗病雌蚕无性克隆系与平衡致死系杂交育成的抗血液型脓病雄蚕品种。该品种最大亮点在于抗病性能突出，蚕种生产可省去雌雄鉴别工序，降低繁育用工成本，同时保留优良茧丝品质。\n\n此前，“浙凤3号”已在淳安5个养蚕重点村完成引进与示范试验，积累了丰富的生产饲养数据。经过多个乡镇农户对比试验，“浙凤3号”健蛹率达98.95%，高于对照品种；张种产量、张种产值均实现小幅提升。茧丝指标上，解舒率75.17%、干毛茧出丝率39.82%，优于对照，洁净得分94.88分，达到缫制高品位生丝的品质标准，兼顾蚕农生产效益与丝厂加工需求。","浙江日报 潮新闻 城镇网 2026 年 10 月 15 日","2026-10-15T00:00:00Z",69,{"impact":254,"substance":255,"depth":80,"authority":13,"freshness":193,"relevant":21,"comment":256},16,20,"省级科研机构新品种成果推介，含健蛹率、出丝率等实测数据与推广路径，属细分行业实质进展，值得进入每日精选。",[258],{"name":250,"url":247},[26,260,261,262,263],"院地合作","蚕桑产业","抗病品种","雄蚕品种",{"code":32,"slug":33,"name":34,"path":35,"parent_code":36},[],{"status":39,"locked":14,"version":40,"method":41,"evidence":267},{"candidates":268,"agricultural_evidence":46},[269,274,280,284],{"code":32,"score":161,"supported":46,"title":270,"abstract":271,"tags":273},[],[272],"蚕桑",[261],{"code":275,"score":110,"supported":46,"title":276,"abstract":277,"tags":279},"B3",[],[278],"茶叶",[],{"code":56,"score":21,"supported":14,"title":281,"abstract":282,"tags":283},[],[],[26],{"code":285,"score":21,"supported":14,"title":286,"abstract":287,"tags":288},"G1",[],[],[260],[290,291],"浙凤3号 雄蚕 淳安","浙江省农科院 蚕桑 抗病品种","浙凤3号雄蚕淳安-5121","2026-10-17T00:13:40.062002Z",{"id":295,"title":296,"url":297,"summary":298,"summary_zh":8,"content":299,"source_name":300,"source_url":8,"published_at":301,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":15,"score_detail":302,"sources":305,"tags":307,"primary_topic":311,"secondary_topics":312,"classification":313,"search_phrases":334,"slug":337,"view_count":21,"doi":8,"paper":8,"created_at":338},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",{"impact":303,"substance":255,"depth":18,"authority":80,"freshness":193,"relevant":21,"comment":304},24,"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。",[306],{"name":300,"url":297},[148,308,27,309,310],"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":39,"locked":14,"version":40,"method":41,"evidence":314},{"candidates":315,"agricultural_evidence":46},[316,320,324,330],{"code":32,"score":161,"supported":46,"title":317,"abstract":318,"tags":319},[],[27],[27],{"code":91,"score":110,"supported":46,"title":321,"abstract":322,"tags":323},[],[105],[],{"code":325,"score":110,"supported":46,"title":326,"abstract":327,"tags":329},"G2",[],[328],"家庭农场",[],{"code":173,"score":21,"supported":14,"title":331,"abstract":332,"tags":333},[],[],[148],[335,336],"新疆 超级棉田 极飞科技","尉犁县 智慧棉田 无人机","新疆超级棉田极飞科技-5031","2026-10-16T00:13:02.993245Z",{"id":340,"title":341,"url":342,"summary":343,"summary_zh":8,"content":8,"source_name":344,"source_url":8,"published_at":8,"category":190,"cover_url":8,"hotness":13,"is_selected":14,"score":345,"score_detail":346,"sources":349,"tags":351,"primary_topic":354,"secondary_topics":355,"classification":361,"search_phrases":384,"slug":387,"view_count":64,"doi":8,"paper":388,"created_at":396},4966,"基于改进YOLO 11n模型的棉花田间复杂环境障碍物检测方法","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fnyjxxb\u002Fmulu\u002F455619.html","韩科立、王振坤等(中国农业机械化科学研究院集团有限公司;现代农装科技股份有限公司;农业装备技术全国重点实验室)针对棉花田间复杂环境障碍物被遮挡致准确检测难、边缘设备算力有限的问题,提出一种基于改进YOLO 11n模型的田间障碍物检测方法。采用StarNet作为主要特征提取网络并引入DBA模块增强多尺度特征交互能力;使用KAGNConv替换C3k2瓶颈结构增强灵活性与可解释性;集成分离与增强注意力模块SEAM至检测头增强遮挡场景能力。试验结果表明,改进模型YOLO 11n-SKS精确率、召回率、mAP50、mAP50-95分别提升2.3、2.1、1.3、1.4个百分点,达到91.7%、88.3%、91.9%、62.3%。","《农业机械学报》",71,{"impact":254,"substance":347,"depth":79,"authority":19,"freshness":168,"relevant":21,"comment":348},21,"改进YOLO 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