[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2841":3},{"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":21,"tags":23,"view_count":29,"doi":8,"paper":8,"created_at":30},2841,"中国农科院资划所多因子监测实现小麦晚霜冻害大范围动态预警登European Journal of Agronomy","https:\u002F\u002Fwww.caas.cn\u002Fxwzx\u002Fmtxw\u002Fbe939456a5354c4da317420bf21577db.htm","近日,中国农业科学院农业资源与农业区划研究所农业遥感团队提出了多因子综合霜冻监测指数,提升小麦晚霜冻害监测精度。黄淮海平原是我国冬小麦核心产区,每年3至4月小麦拔节至抽穗期间频发的晚霜冻害严重威胁粮食安全。该指数综合高精度气象预报和冬小麦生长进程信息,兼顾低温强度、持续时间及不同生育期敏感性,并利用遥感土壤水分数据构建非线性调节系数,精准刻画湿润土壤对低温的缓冲效应,突破了气象站点的空间局限。",null,"中国农业科学院 \u002F 中国科学报","2026-09-17T00:00:00Z","报道",10,true,87,{"impact":16,"substance":16,"depth":17,"authority":18,"freshness":12,"relevant":19,"comment":20},22,18,15,1,"国家级科研团队在核心期刊提出多因子霜冻监测指数，方法新颖、结论可靠，对黄淮海冬小麦防灾减灾有实质价值，值得进入每日精选。",[22],{"name":9,"url":6},[24,25,26,27,28],"智慧农业","农业遥感","粮食安全","小麦","农业气象",0,"2026-09-18T00:03:28.607700Z"]