A drone-based study on the possibilities of agricultural crop assessment using reflectance index in NIR

被引：0
|
作者：
Atanasov, Asparuh [1 ]
机构：
[1] Tech Univ, Fac Mech Engn, Dept Mech & Elements Machines, Varna 9000, Bulgaria
来源：
BULGARIAN JOURNAL OF AGRICULTURAL SCIENCE | 2024年 / 30卷 / 06期
关键词：
NDVI; NIR; NIRI; vegetation indices; VEGETATION INDEX;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
& Tcy;hrough the reflective vegetation indices to assess plant stress, we can accurately determine the condition of the crops and plan the necessary actions. The research aims to evaluate the performance of the NIRI (Near InfraRed Index) index using a NIR camera mounted on a drone. The vegetation index NIRI compared to NDVI was studied. The results show good estimation capabilities and similar trends of change. The results of regression analysis of the relationships between NDVI and NIRI for wheat crops are Multiple R = 0.979; R Square = 0.959.
引用
收藏
页码：1136 / 1140
页数：5
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