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。
张玉屏1,张义凯1,王亚梁1,陈惠哲1,向 镜1,朱德峰1,王军可1,周涛2,河野元3,渡桥啓介3,崔明达3
. 水稻叶片无损监测及精准施肥技术研究[J]. 中国稻米, 2020
, 26(5)
: 70
-73
.
DOI: 10.3969/j.issn.1006-8082.2020.05.016
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.
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