摘要
通过稻叶测氮仪CCN的无损监测及无人机归一化植被指数(NDVI值)的获取,验证与调整水稻叶片含氮量化学值与测定值的一致性,明确叶片氮含量与NDVI值的线性关系,构建无损监测值与施肥数据库,实现穗肥按目标精确施用及大米食味品质的提升,为稻米提质增效提供新技术,为优质稻信息化施肥及智慧农业的发展提供新方法。
Through the non-destructive monitoring of rice leaf CCN and the acquisition of normalized vegetation index(NDVI value)of UAV,checking and adjusting the consistency between the chemical value and the measured value of nitrogen content in leaves,clarifying the linear relationship between nitrogen content and NDVI value in leaves,constructing the database of non-destructive monitoring value and fertilization,to realize the precise application of ear fertilizer according to the target yield and improve the quality of rice taste,to provide new technology for improving quality and increasing efficiency of rice,and to provide new methods for the development of high quality rice information fertilization and intelligent agriculture.
作者
张玉屏
张义凯
王亚梁
陈惠哲
向镜
朱德峰
王军可
周涛
河野元
渡桥啓介
崔明达
ZHANG Yuping;ZHANG Yikai;WANG Yaliang;CHEN Huizhe;XIANG Jing;ZHU Defeng;WANG Junke;ZHOU Tao;MOTONOBU Kawano;KEISUKE Orihashi;CUI Mingda(China National Rice Research Institute/State Key Laboratory of Rice Biology,Hangzhou 310006,China;Satake machinery(Suzhou)Co.,Ltd.,Suzhou,Jiangsu 215129,China;Satake Corporation,Hiroshima 739-8602,Japan)
出处
《中国稻米》
2020年第5期70-73,共4页
China Rice
基金
国家重点研发计划项目(2017YFD0300409、2016YFD0200801)
浙江省自然科学基金(LQ20C130009)
现代农业产业技术体系建设专项(CARS-01-22)。
关键词
水稻
无损监测
生育诊断
无人机
精准施肥
rice
non-destructive monitoring
fertility diagnosis
unmanned aerial vehicle
precision fertilization
