[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-3570":3,"related-3570":85},{"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":33,"secondary_topics":39,"classification":46,"search_phrases":80,"slug":83,"view_count":21,"doi":8,"paper":8,"created_at":84},3570,"农业农村部就'十五五'国家重点研发计划5个重点专项2026年度项目申报指南征求意见——主要粮食与经济作物大面积单产提升、果蔬园艺作物优质绿色生产、畜禽健康养殖、农产品加工储运与食品制造、海上牧场与淡水渔业","https:\u002F\u002Fservice.most.gov.cn\u002Fkjjh_tztg_all\u002F20260922\u002F5884.html","农业农村部近日就'十五五'国家重点研发计划'主要粮食与经济作物大面积单产提升技术''果蔬等园艺作物优质绿色生产技术创新''畜禽健康养殖与高效生产''农产品加工储运与食品制造''海上牧场与淡水渔业'等5个重点专项2026年度项目申报指南向社会公开征求意见，公示期9月22日至9月26日。5个专项基本覆盖种植业、畜牧业、加工业、渔业全链条，瞄准大面积单产提升、园艺作物绿色生产、畜禽高效生产、农产品加工储运和渔业绿色循环发展等核心方向。",null,"![Image 2](https:\u002F\u002Fservice.most.gov.cn\u002Fui\u002Fimages\u002Findex\u002Ficon_wenhao.png)\n\n在线帮助\n\n![Image 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\n[program@istic.ac.cn](mailto:program@istic.ac.cn)\n\n![Image 26](https:\u002F\u002Fservice.most.gov.cn\u002Fui\u002Fimages\u002Findex\u002Ficon_footer_fax.png)\n\n 传真请发送至：010-58882370 \n\n![Image 27](https:\u002F\u002Fservice.most.gov.cn\u002Fui\u002Fimages\u002Findex\u002Fvx_code.png)\n\n中华人民共和国科学技术部 © 2015 \n\n 京ICP备05022684号 \n\n查看浏览器兼容版本","国家科技管理信息系统公共服务平台 2026-09-22","2026-09-22T00:00:00Z","政策",10,false,81,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},26,18,16,15,6,1,"农业农村部就十五五重点研发计划5个涉农专项2026年度申报指南公开征求意见，属全国性政策信号，方向明确但正文为平台页面内容、条款细节有限。",[25],{"name":10,"url":6},[27,28,29,30,31,32],"十五五","单产提升","农产品加工","重点研发计划","渔业","畜禽健康养殖",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},"A8","yield-food-security","单产提升与粮食安全","\u002Ftopic\u002Ffield-crops\u002Fyield-food-security","A",[40],{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},"E1","food-processing","加工与食品制造","\u002Ftopic\u002Ffood-supply\u002Ffood-processing","E",{"status":47,"locked":14,"version":48,"method":49,"evidence":50},"classified","2026-10-22.2","rules",{"candidates":51,"agricultural_evidence":55},[52,61,66,71,75],{"code":53,"score":54,"supported":55,"title":56,"abstract":58,"tags":60},"C",14,true,[57],"畜禽",[59,57],"畜牧",[],{"code":34,"score":62,"supported":55,"title":63,"abstract":64,"tags":65},12,[28],[28],[28],{"code":67,"score":62,"supported":55,"title":68,"abstract":69,"tags":70},"D",[31],[31],[31],{"code":41,"score":62,"supported":55,"title":72,"abstract":73,"tags":74},[29],[29],[29],{"code":76,"score":22,"supported":14,"title":77,"abstract":78,"tags":79},"J1",[],[],[27],[81,82],"农业农村部 十五五 重点研发计划 申报指南","主要粮食作物 大面积单产提升","农业农村部十五五重点研发计划申报指南-3570","2026-09-27T00:05:13.539928Z",{"total":21,"page":22,"page_size":21,"items":86},[87,175,238,271,362,402],{"id":88,"title":89,"url":90,"summary":91,"summary_zh":92,"content":8,"source_name":93,"source_url":90,"published_at":94,"category":95,"cover_url":8,"hotness":13,"is_selected":14,"score":96,"score_detail":97,"sources":100,"tags":102,"primary_topic":108,"secondary_topics":109,"classification":117,"search_phrases":154,"slug":157,"view_count":149,"doi":158,"paper":159,"created_at":174},3613,"AI-Assisted Demand Forecasting and Production Scheduling for High-Volume Food Manufacturing in Saudi Arabia: A Food Security Framework for Vision 2030","https:\u002F\u002Fdoi.org\u002F10.64388\u002Firev10i3-1723457","High-volume food manufacturing in Saudi Arabia is increasingly exposed to volatile demand, short product life cycles, promotion-driven peaks, imported input dependencies, capacity bottlenecks, and the operational consequences of seasonal and religious events. These conditions make demand forecasting and production scheduling inseparable rather than sequential planning tasks. This review synthesizes research published between 2020 and 2025 on artificial intelligence-assisted demand forecasting, perishable-product planning, finite-capacity scheduling, digital-twin-enabled decision support, and food supply-chain resilience. The study develops an integrated framework in which demand sensing produces probabilistic forecasts that are translated into production decisions through capacity, shelf-life, sanitation, changeover, labour, inventory, and service constraints. Evidence indicates that machine-learning and deep-learning methods can improve forecast accuracy when promotions, weather, calendar events, regional variation, and censored demand are represented appropriately, while optimization models can convert these signals into feasible schedules that reduce changeovers, waste, shortages, and unstable resource use [1-8]. The review also identifies a persistent implementation gap: forecasting studies often stop at predictive accuracy, whereas scheduling studies frequently assume demand inputs are fixed and reliable. The proposed framework closes this gap by linking forecast uncertainty, rolling-horizon scheduling, execution feedback, and food-security outcomes. For Saudi manufacturers, the value of this integration lies not only in lower cost, but also in improving product availability, freshness, localized processing capacity, shock recovery, and evidence-based management under Vision 2030. The paper concludes with a staged implementation roadmap and research priorities for explainability, cross-site scheduling, event-aware forecasting, data governance, and resilient planning.","沙特阿拉伯的大规模食品制造日益面临需求波动、产品生命周期短、促销驱动的峰值、进口原料依赖、产能瓶颈以及季节性和宗教事件的运营影响。这些条件使得需求预测与生产调度成为不可分割的任务，而非顺序规划任务。本文综述了2020年至2025年间发表的相关研究，涵盖人工智能辅助需求预测、易腐产品规划、有限产能调度、数字孪生赋能的决策支持以及食品供应链韧性。研究构建了一个集成框架，其中需求感知产生概率预测，并通过产能、保质期、卫生、换产、劳动力、库存和服务约束转化为生产决策。证据表明，当促销、天气、日历事件、区域差异和截尾需求得到适当表征时，机器学习和深度学习方法能够提高预测精度，而优化模型可将这些信号转化为可行的调度方案，从而减少换产、浪费、缺货和不稳定的资源使用[1-8]。本综述还指出了一个持续存在的实施缺口：预测研究往往止步于预测精度，而调度研究则常常假设需求输入是固定且可靠的。所提出的框架通过将预测不确定性、滚动时域调度、执行反馈和食品安全结果联系起来，弥合了这一缺口。对于沙特制造商而言，这种集成的价值不仅在于降低成本，还在于改善产品可得性、新鲜度、本地化加工能力、冲击恢复能力以及“2030愿景”下的循证管理。本文最后提出了分阶段实施路线图以及可解释性、跨厂区调度、事件感知预测、数据治理和韧性规划方面的研究优先事项。","Iconic Research and Engineering Journals","2026-09-25T00:00:00Z","论文",60,{"impact":62,"substance":18,"depth":19,"authority":21,"freshness":98,"relevant":22,"comment":99},8,"综述性论文，提出AI需求预测与生产排程整合框架，对智慧农业与粮食安全有参考价值，但属境外研究且期刊权威性一般。",[101],{"name":93,"url":90},[103,104,105,106,107],"智慧农业","农业人工智能","粮食安全","供应链韧性","生产调度",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[110,111],{"code":41,"slug":42,"name":43,"path":44,"parent_code":45},{"code":112,"slug":113,"name":114,"path":115,"parent_code":116},"I2","agricultural-ai","农业AI与大模型","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-ai","I",{"status":47,"locked":14,"version":48,"method":49,"evidence":118},{"candidates":119,"agricultural_evidence":55},[120,126,134,140,147],{"code":41,"score":121,"supported":55,"title":122,"abstract":124,"tags":125},11,[123],"food manufacturing",[123],[],{"code":112,"score":13,"supported":55,"title":127,"abstract":128,"tags":133},[],[129,130,131,132],"深度学习","机器学习","artificial intelligence","decision support",[104],{"code":34,"score":135,"supported":55,"title":136,"abstract":138,"tags":139},9,[137],"food security",[],[105],{"code":141,"score":142,"supported":55,"title":143,"abstract":144,"tags":146},"I1",4,[],[145],"数字孪生",[103],{"code":148,"score":149,"supported":55,"title":150,"abstract":151,"tags":153},"E4",3,[],[152],"食品安全",[],[155,156],"沙特阿拉伯 食品制造 需求预测","Vision 2030 粮食安全","沙特阿拉伯食品制造需求预测-3613","10.64388\u002Firev10i3-1723457",{"doi":158,"openalex_id":160,"authors":161,"venue":93,"cited_by_count":164,"oa_url":165,"card":166,"direction":172,"ingested_from":173},"W7214295236",[162],{"name":163,"orcid":8},"Atif Maqbool Syed",0,"https:\u002F\u002Fwww.irejournals.com\u002Fformatedpaper\u002F1723457.pdf",{"tldr":167,"method":168,"finding":169,"direction":170,"opportunity":171},"综述2020-2025年AI需求预测与生产调度研究，提出沙特食品制造整合框架以保障Vision 20","文献综述2020-2025年AI预测、易腐品规划、有限产能调度与数字孪生研究。","预测研究止于精度、调度研究假设需求固定，整合框架可弥合实施鸿沟并提升粮食安全。","农业人工智能与决策模型","可研究事件感知预测与滚动调度耦合、跨工厂协同及可解释AI在食品供应链韧性中的应用。","智慧农业 \u002F 农业物联网","openalex","2026-09-27T23:30:14.516185Z",{"id":176,"title":177,"url":178,"summary":179,"summary_zh":8,"content":8,"source_name":180,"source_url":8,"published_at":181,"category":182,"cover_url":8,"hotness":13,"is_selected":14,"score":183,"score_detail":184,"sources":188,"tags":190,"primary_topic":193,"secondary_topics":194,"classification":195,"search_phrases":232,"slug":235,"view_count":236,"doi":8,"paper":8,"created_at":237},3201,"习近平总书记向全国广大农民和工作在\"三农\"战线上的同志们致以节日祝贺和诚挚问候——凝聚\"十五五\"乡村全面振兴合力","https:\u002F\u002Fnews.china.com.cn\u002F2026-09\u002F23\u002Fcontent_118708838.shtml","9-22 新华社发布重要报道：9-22 在第九个\"中国农民丰收节\"到来之际，习近平总书记代表党中央向全国广大农民和工作在\"三农\"战线上的同志们致以节日祝贺和诚挚问候。总书记指出今年我国夏粮产量再创新高、早稻保持稳产、秋粮丰收在望。农业农村部种植业管理司副司长吕修涛表示，\"十五五\"时期将一手抓粮食播种面积、一手抓单产提升，深入实施藏粮于地、藏粮于技战略，提升农业生产防灾减灾救灾能力，坚决守牢粮食安全底线。中国工程院院士陈温福表示，将带领团队继续攻坚种业创新，把论文写在大地上为端稳中国饭碗提供坚实支撑。报道指出，\"十五五\"时期是基本实现农业农村现代化的关键时期，将以辛勤耕耘的实干姿态推动农业农村高质量发展。","新华社·中国网","2026-09-22T11:00:00Z","报道",89,{"impact":185,"substance":186,"depth":19,"authority":20,"freshness":13,"relevant":22,"comment":187},28,20,"国家级三农政策报道，时效性强、信源权威，含十五五粮食安全与种业创新实质内容，值得进入每日精选。",[189],{"name":180,"url":178},[27,191,105,28,192],"种业振兴","农民丰收节",{"code":34,"slug":35,"name":36,"path":37,"parent_code":38},[],{"status":47,"locked":14,"version":48,"method":49,"evidence":196},{"candidates":197,"agricultural_evidence":55},[198,202,210,216,222,228],{"code":34,"score":98,"supported":55,"title":199,"abstract":200,"tags":201},[],[105,28],[28,105],{"code":203,"score":204,"supported":55,"title":205,"abstract":206,"tags":209},"J4",7,[],[207,208],"丰收节","夏粮",[192],{"code":211,"score":142,"supported":55,"title":212,"abstract":213,"tags":215},"F1",[],[214],"种业",[191],{"code":217,"score":149,"supported":55,"title":218,"abstract":219,"tags":221},"H7",[],[220],"防灾减灾",[],{"code":223,"score":149,"supported":55,"title":224,"abstract":225,"tags":227},"J2",[],[226],"农业农村现代化",[],{"code":76,"score":22,"supported":14,"title":229,"abstract":230,"tags":231},[],[],[27],[233,234],"习近平总书记 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