Sensitive Spectral and Temporal–Spatial Characteristic Analysis of Leaf SPAD in Maize Under Variety and Nitrogen Coupling Effects

Read full text
Authors: Fu Zhang, Fu Zhang, Baoping Yan, Le Yang, Fangyuan Zhang, Fangyuan Zhang, Yakun Zhang, Yafei Wang, Shaukat Ali, Sanling Fu
Cited by: 1
References: 42

Abstract

ABSTRACT Accurate estimation of leaf SPAD is crucial for maize growth and yield formation. Many methods for monitoring SPAD currently lack the analysis of sensitive leaf position in different stages of maize. In this paper, the spectra and temporal–spatial characteristics of maize leaf SPAD were analyzed to describe the sensitive stage and leaf position. After exploring the dynamic growth effects of SPAD in maize leaves, the sensitive stage of SPAD was determine. Several preprocessing methods and spectral vegetation indices were used to analyze the spectral reflectance of typical leaf positions in sensitive stages. The function regression methods based on single vegetation index and the random forest regression (RFR) based on multi‐vegetation indices were employed. The results showed that the twelve‐leaf (V12) and the silking (R1) were the sensitive stages. The strongest RVI at the V12 stage and NDRE for the ear leaves at the R1 stage were observed under SG‐SNV method. The best prediction data ( R 2 = 0.7) was showed at the V12 stage under MSC‐RF. The prediction effect of the ear leaves after MSC pretreatment was slightly better ( R 2 = 0.69). In addition, SPAD value can indirectly reflect the chlorophyll content, nitrogen content and yield status of maize leaves, and its accurate monitoring provides effective guidance for maize leaf nutrition information and yield prediction.

Fields of Study & Subjects

Remote Sensing in Agriculture Soil Geostatistics and Mapping Optical Imaging and Spectroscopy Techniques

Publication details

Journal / source
Food Science & Nutrition
Publisher
Wiley
Volume
14
Issue
5
Pages
e71907–e71907
Publication date
1 May 2026
Language
EN