[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-4795":3,"related-4795":93},{"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":32,"primary_topic":38,"secondary_topics":44,"classification":45,"search_phrases":74,"slug":77,"view_count":22,"doi":78,"paper":79,"created_at":92},4795,"Digital tax governance and resilient agricultural machinery investment: a lifecycle analysis of an upstream pathway to sustainable food systems in China","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffsufs.2026.1978360","Introduction Tax incentives can support agricultural-machinery investment, but their value depends on taxable capacity, documentary evidence, and timing. Methods We use a policy-calibrated single-case simulation of Company A to evaluate 432 prespecified lifecycle rules across ten demand-policy stress paths for 2026–2033. The model integrates value-added tax, corporate income tax, R&D incentives, tax-loss and credit vintages, investment timing, and model-implied adjustment exposure. Scenario weights are judgmental rather than estimated frequencies. Results The constrained rule combines 7% R&D, equipment and retrofit in 2026, straight-line tax depreciation, and no exemption-based separate accounting. Its expected NPV is CNY 16.82 million and its 20% lower-tail CVaR is CNY 12.61 million. Expected NPV is 5.40% higher than under Company A’s static plan but only 1.51% higher than under baseline compliance. Relative to baseline, CVaR is 5.82% lower and risk-adjusted NPV is essentially unchanged. Discussion These results are conditional on the stated parameters. The proposed food-system pathway is theoretical because machinery adoption, farm output, prices, diets, and nutrition are not observed.","引言 税收激励可以支持农业机械投资，但其价值取决于应税能力、文档证据和时机。方法 我们对公司A进行政策校准的单案例模拟，以评估2026—2033年十条需求政策压力路径下的432项预设生命周期规则。该模型整合了增值税、企业所得税、研发激励、税收亏损与抵免的年份归属、投资时机以及模型隐含的调整敞口。情景权重是判断性的，而非估计频率。结果 受约束规则结合了2026年7%的研发、设备与改造，直线法税收折旧，以及不采用基于免税的单独核算。其预期净现值为1682万元人民币，其20%下尾CVaR为1261万元人民币。预期净现值比公司A的静态计划高5.40%，但仅比基线合规高1.51%。相对于基线，CVaR低5.82%，风险调整后净现值基本不变。讨论 这些结果以所述参数为条件。所提出的食物系统路径是理论性的，因为机械采用、农场产出、价格、饮食和营养均未被观测到。",null,"Frontiers in Sustainable Food Systems","2026-10-12T00:00:00Z","论文",40,false,64,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,18,16,13,9,1,"以单一企业仿真评估农机投资税收规则，方法有增量但结论为条件性理论推演，产业公共价值有限，可作参考不宜精选。",[25,26,29],{"name":10,"url":6},{"name":27,"url":28},"Frontiers in Sustainable Food Systems 10 2026-10-13","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1978360\u002Ffull",{"name":30,"url":31},"Frontiers in Sustainable Food Systems 10(2026)","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fsustainable-food-systems\u002Farticles\u002F10.3389\u002Ffsufs.2026.1978360\u002Fabstract",[33,34,35,36,37],"数字乡村","农机装备","可持续食物系统","农业投资","税收政策",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},"F5","machinery","农机装备与机械化","\u002Ftopic\u002Finputs-equipment\u002Fmachinery","F",[],{"status":46,"locked":14,"version":47,"method":48,"evidence":49},"classified","2026-10-22.2","rules",{"candidates":50,"agricultural_evidence":53},[51,59,64,69],{"code":39,"score":52,"supported":53,"title":54,"abstract":56,"tags":58},12,true,[55],"agricultural 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北斗+智能感知推动智慧农机广泛应用","https:\u002F\u002Fwww.toutiao.com\u002Farticle\u002F7683144186568163850\u002F","9月7日,活力中国调研行主题采访活动河南站在郑州正式启动。河南省粮食总产量已连续9年稳定在1300亿斤以上,今年夏粮总产达到755.29亿斤,比上年增产5.28亿斤,贡献全国超四分之一的增量。河南农业科技进步贡献率达到67.6%,主要农作物良种覆盖率达到97%,主要农作物耕种收综合机械化率达到90%。作为农机装备制造大省,河南汇集173家规模以上农机装备制造企业,洛阳现代农机装备产业集群总产值超过600亿元,国内首台5G+氢燃料电动拖拉机在这里问世,玉米智能追肥除草装备农药用量减少20%以上。","中工网 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良田良种良技良机齐发力","https:\u002F\u002Fwww.hj.cn\u002Fcontent\u002F2026-10\u002F16\u002Fcontent_20234591.html","宜城市郑集镇金铺村千亩稻田迎来收获，合作社负责人王艳涛把良田、良种、良技、良机融入生产实践：高标准农田把零散地块整合为连片良田并配套灌溉管网，主动对接省农科院把自家田地当试验田试种新品种，按水稻生长阶段精准调控水肥，农机库房配备收割机、插秧机、植保无人机与烘干机。","金秋时节，宜城市郑集镇金铺村的千亩稻田一片金黄。望着颗粒饱满的水稻，宜城市金大地专业合作社负责人王艳涛满脸喜悦。作为襄阳市“三个一千”种粮大户，他多年深耕粮食种植领域，把“良田、良种、良技、良机”融入生产实践，在田野里写下了生动的丰收故事。\n\n良田打底。“想种出好庄稼，第一步得养好地。”王艳涛说，高标准农田建设把零散地块整合成连片良田，还配套完善了灌溉管网。在此基础上，他每年都会对田地进行深翻，让土壤更疏松，减少病虫害发生。\n\n良种当家。王艳涛主动对接省农科院等科研单位，把自家田地当作试验田。“这是省农科院和市农业农村局在我这儿试种的品种。”他指着田间的品种标识牌介绍，今年种得最好的一个品种，亩产预计达1000公斤。他告诉记者，合作社一般选择适配本地气候、抗病性好的品种，好品种种出的稻米，成色、口感、品相更符合市场需求。\n\n良技护航。王艳涛根据水稻不同生长阶段精准调控水肥，遇到拿不准的问题，就请农技专家上门指导。“整个生育期都做精细化田管，加上农技人员上门指导，病虫害防控很到位。”王艳涛说。\n\n良机助力。眼下正是秋粮收获关键期，合作社农机库房里，机器检修声与交谈声交织，一派忙碌景象。王艳涛介绍，合作社配有收割机、拖拉机、插秧机、植保无人机、烘干机等各类农机设备，种地省工、省时、省力。\n\n多年摸爬滚打，王艳涛攒下了一本“种地经”。“种田没有捷径，把土地整好，把种子选对，管理不能偷懒，机器要用好，踏踏实实管好每一亩田，收成就不会辜负付出和努力。”王艳涛朴实的话语，透着种粮人的执着与笃定。","襄阳日报 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月",89,{"impact":241,"substance":107,"depth":125,"authority":242,"freshness":17,"relevant":22,"comment":243},27,15,"国家级科研机构发布完全自主知识产权的农机智能引擎，破解智能农机底层核心技术瓶颈，属产业级重大突破，信息增量与权威度俱佳，值得进入每日精选。",[245],{"name":238,"url":236},[247,248,249,250,34],"智慧农业","农业人工智能","智能农机","自主可控",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":254},{"candidates":255,"agricultural_evidence":53},[256,260,265],{"code":39,"score":108,"supported":53,"title":257,"abstract":258,"tags":259},[127],[127,57,129],[34,249],{"code":261,"score":22,"supported":14,"title":262,"abstract":263,"tags":264},"I1",[],[],[247],{"code":266,"score":22,"supported":14,"title":267,"abstract":268,"tags":269},"I2",[],[],[248],[271,272],"南京农机所 AMES1000","农机智能引擎 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实现关键装备自主可控","https:\u002F\u002Fwww.haas.cn\u002Finfo\u002F1231\u002F335801.htm","黑龙江省农机研究院党委书记、院长张燕梁等向中宣部\"活力中国调研行\"采访团介绍,省农机院聚焦智能农机战略性新兴产业,成功研发国产大型鲜食玉米联合收获机,打破国外技术垄断,大幅降低作业损伤率,实现关键装备自主可控。同时通过驻企研发专员机制,推动鲜食玉米、除草、精密排种等技术下沉民营农机企业一线,以国产技术突破夯实龙江\"4567\"产业体系农业根基。","日前，由中宣部组织的2026年“活力中国调研行”黑龙江主题采访活动启动。国产农机如何破局？成为中央广播电视总台记者的关注焦点。黑龙江省农机研究院党委书记、院长，国家玉米产业技术体系岗位科学家，农业农村部旱地农业装备技术重点实验室主任张燕梁，黑龙江省农机研究院收获机械装备研究室主任、农业农村部旱地农业装备技术重点实验室副主任叶彤，黑龙江省农机研究院派驻德沃科技开发有限公司驻企研发专员（德沃科技开发有限公司总工程师）杜木军向媒体介绍了我院农机发展情况。\n\n近年来，我院省农机研究院立足龙江“4567”现代化产业体系建设大局，锚定智能农机这一战略性新兴产业主攻方向，把攻克农机装备“卡脖子”技术作为核心使命，以科技创新赋能黑土地现代农业高质量发展。\n\n以往，高端农机核心部件、智能控制系统长期受制于外，进口装备价格高昂，严重制约粮食生产全程机械化提档升级。对此，省农机院坚持科研服务产业、技术扎根大地的工作理念，把技术攻关同保障粮食安全、发展食品加工等传统优势产业紧密结合，集中科研力量攻坚核心技术难关，全力破解鲜食玉米低损收获、智能除草、精密排种等技术痛点，成功研发国产大型鲜食玉米联合收获机，打破国外产品垄断，大幅降低作业损伤率，实现关键装备自主可控，以国产技术突破夯实龙江“4567”产业体系农业根基，为龙江全面振兴全方位振兴贡献农机科研力量。\n\n立足龙江现代农业发展需求，省农机院调配科研骨干组建鲜食玉米团队，聚焦鲜食玉米收获短板，深耕核心技术攻关，全力突破高端农机装备国产化瓶颈。从实验室理论推演、样机试制，到田间反复测试、迭代升级，一步步攻克技术难题，成功打破国外技术垄断，实现核心农机装备自主可控，用硬核科研成果守护黑土地丰收。\n\n为深入贯彻落实全省农机装备领域民营企业座谈会议精神，积极响应省农科院党组部署，省农机院主动靠前服务省内农机民营企业，整合哈尔滨院本部以及齐齐哈尔、牡丹江、佳木斯、绥化四地分院相关科研力量，常态化选派骨干科研人员担任驻企研发专员，打通科研创新与产业落地的衔接壁垒。依托驻企研发工作机制，坚持问题导向、市场导向，聚焦民营农机企业技术短板、产品升级难题和成果转化堵点，将院内核心科研资源、技术经验精准下沉企业一线。通过驻企精准赋能，破解民营企业创新能力薄弱、核心技术储备不足等难题，加速先进农机技术本土化、产业化落地，助力企业提升产品质量与市场竞争力，为建好全省高端智能农机装备研发制造应用体系、夯实现代农业产业根基、服务龙江全面振兴全方位振兴提供坚实科研支撑。","黑龙江省农业科学院 农机研究院 2026年10月10日","2026-10-10T00:00:00Z",71,{"impact":107,"substance":19,"depth":109,"authority":20,"freshness":94,"relevant":22,"comment":285},"省级科研机构在鲜食玉米低损收获装备上实现国产替代，属细分领域实质进展，但通稿色彩较浓、时效偏旧。",[287],{"name":281,"url":278},[249,250,289,290,34],"鲜食玉米","黑土地保护",{"code":139,"slug":292,"name":143,"path":293,"parent_code":219},"maize","\u002Ftopic\u002Ffield-crops\u002Fmaize",[295],{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},{"status":46,"locked":14,"version":47,"method":48,"evidence":297},{"candidates":298,"agricultural_evidence":53},[299,303,307,311],{"code":39,"score":20,"supported":53,"title":300,"abstract":301,"tags":302},[127],[127],[34,249],{"code":139,"score":52,"supported":53,"title":304,"abstract":305,"tags":306},[143],[143],[289],{"code":132,"score":140,"supported":53,"title":308,"abstract":309,"tags":310},[],[136],[],{"code":197,"score":22,"supported":14,"title":312,"abstract":313,"tags":314},[],[],[290],[316,317],"黑龙江省农科院 鲜食玉米 联合收获机","农机院 驻企研发专员 德沃科技","黑龙江省农科院鲜食玉米联合收获机-5051","2026-10-16T00:13:12.017657Z",{"id":321,"title":322,"url":323,"summary":324,"summary_zh":325,"content":9,"source_name":326,"source_url":323,"published_at":327,"category":12,"cover_url":9,"hotness":104,"is_selected":14,"score":328,"score_detail":329,"sources":332,"tags":334,"primary_topic":338,"secondary_topics":339,"classification":340,"search_phrases":363,"slug":366,"view_count":22,"doi":367,"paper":368,"created_at":378},4995,"Визначення положення та геометричних параметрів сільськогосподарської техніки для автоматизованого керування процесом миття","https:\u002F\u002Fdoi.org\u002F10.15276\u002Fict.03.2026.76","The article develops and experimentally verifies a method for determining the position and geometric parameters of agricultural machinery for automated washing process control.The method combines photoelectric sensors for verifying the admissible position of the machinery and ultrasonic sensors for determining distances to its upper and side surfaces.Median filtering is used to reduce the influence of anomalous ultrasonic measurements, while the measured distances are converted into geometric parameters using the known dimensions of the experimental installation.The obtained parameters are used by the controller to define the permissible operating area and generate control actions for the washing carriage, pump, and air-blowing system.If the machinery is positioned incorrectly or exceeds the permissible dimensions of the working zone, the technological cycle is blocked.Experimental verification using the developed automated washing installation and a tractor model confirmed correct operation of the positioning subsystem and sufficient accuracy of ultrasonic measurements.The maximum absolute error did not exceed 2 mm.The proposed approach provides direct integration of sensor measurements into the control logic and enables adaptation of the washing cycle to the actual position and dimensions of the machinery.Further research should address the integration of computer vision and adaptive generation of washing-carriage trajectories.","本文提出并实验验证了一种用于自动化清洗过程控制的农业机械位置与几何参数确定方法。该方法结合光电传感器验证机械的允许位置，并利用超声波传感器确定其顶面和侧面距离。采用中值滤波降低异常超声测量的影响，同时利用实验装置的已知尺寸将测量距离转换为几何参数。控制器利用所得参数确定允许作业区域，并生成对清洗小车、水泵和吹风系统的控制动作。若机械位置不正确或超出工作区允许尺寸，则封锁工艺循环。利用所开发的自动化清洗装置和拖拉机模型进行的实验验证，证实了定位子系统的正确运行以及超声测量的足够精度。最大绝对误差不超过2 mm。所提方法实现了传感器测量与控制逻辑的直接集成，并使清洗循环能够适应机械的实际位置和尺寸。后续研究应关注计算机视觉的集成以及清洗小车轨迹的自适应生成。","Ìnformatika, kulʹtura, tehnìka.","2026-10-13T00:00:00Z",66,{"impact":52,"substance":330,"depth":19,"authority":104,"freshness":17,"relevant":22,"comment":331},20,"该论文提出光电与超声传感器融合的农机自动清洗定位方法，实验误差不超过2毫米，方法新颖且数据可靠，但属细分技术进展，公共影响有限。",[333],{"name":326,"url":323},[247,34,335,336,337],"农业传感器","自动控制","超声测距",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":341},{"candidates":342,"agricultural_evidence":53},[343,348,354,358],{"code":39,"score":104,"supported":53,"title":344,"abstract":345,"tags":347},[],[57,55,346],"tractor",[34],{"code":266,"score":94,"supported":53,"title":349,"abstract":350,"tags":353},[],[351,352],"计算机视觉","computer vision",[],{"code":261,"score":22,"supported":14,"title":355,"abstract":356,"tags":357},[],[],[247],{"code":359,"score":22,"supported":14,"title":360,"abstract":361,"tags":362},"I5",[],[],[335],[364,365],"农业机械 自动清洗 定位","超声波传感器 农机 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农业物联网","可融合计算机视觉与自适应轨迹生成，提升农机清洗的智能化与柔性化水平。","2026-10-15T23:30:11.641686Z",{"id":380,"title":381,"url":382,"summary":383,"summary_zh":9,"content":9,"source_name":384,"source_url":9,"published_at":9,"category":12,"cover_url":9,"hotness":104,"is_selected":14,"score":385,"score_detail":386,"sources":388,"tags":390,"primary_topic":395,"secondary_topics":396,"classification":397,"search_phrases":418,"slug":421,"view_count":22,"doi":9,"paper":422,"created_at":430},4970,"第三方数字信用认证对农户具有价值吗","http:\u002F\u002Fwww.qikanzj.com\u002Fhek\u002Fjxcjdxxb\u002Fmulu\u002F695999.html","朱乾宇、尤婧(中国人民大学农业与农村发展学院)基于商业银行数字化转型过程与金融科技企业合作、并由后者为农户提供第三方数字信用认证的准自然实验进行实证分析。研究发现,第一,第三方数字信用认证提高了农户正规信贷可获得性和信贷次数;第二,通过缓解农户正规信贷约束,促使农户调减大田作物种植面积占比,促进更多价值更高的农机具替代老龄农业劳动力,增加大田作物的纯收入,并降低农户的风险厌恶程度;第三,农户可被观测和无法被观测的异质性会影响上述因果效应的大小。","《中国农村经济》",75,{"impact":18,"substance":107,"depth":18,"authority":242,"freshness":159,"relevant":22,"comment":387},"核心期刊实证研究，揭示第三方数字信用认证对农户信贷与生产行为的因果影响，结论扎实但时效性偏弱。",[389],{"name":384,"url":382},[33,391,392,393,394],"金融科技","农村金融","农户信贷","数字信用",{"code":39,"slug":40,"name":41,"path":42,"parent_code":43},[],{"status":46,"locked":14,"version":47,"method":48,"evidence":398},{"candidates":399,"agricultural_evidence":53},[400,404,410,414],{"code":39,"score":140,"supported":53,"title":401,"abstract":402,"tags":403},[],[127],[],{"code":405,"score":140,"supported":53,"title":406,"abstract":407,"tags":409},"G",[],[408],"农村发展",[],{"code":65,"score":22,"supported":14,"title":411,"abstract":412,"tags":413},[],[],[392],{"code":70,"score":22,"supported":14,"title":415,"abstract":416,"tags":417},[],[],[33],[419,420],"第三方数字信用认证 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