Evidence map›Paper›PMID 42254423›Full record

ArticleFood science & nutrition2026

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

Fu Zhang, Baoping Yan, Le Yang, Fangyuan Zhang, Yakun Zhang, Yafei Wang, Shaukat Ali, Sanling Fu

Abstract read
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Article in Food science & nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Fu ZhangCollege of Agricultural Equipment Engineering Henan University of Science and Technology Luoyang China.ORCID https://orcid.org/0000-0001-5732-7598
Baoping YanCollege of Agricultural Equipment Engineering Henan University of Science and Technology Luoyang China.
Le YangCollege of Mechatronics Engineering Henan University of Science and Technology Luoyang China.
Fangyuan ZhangCollege of Agricultural Equipment Engineering Henan University of Science and Technology Luoyang China.
Yakun ZhangCollege of Agricultural Equipment Engineering Henan University of Science and Technology Luoyang China.
Yafei WangCollege of Agricultural Engineering Jiangsu University Zhenjiang China.ORCID https://orcid.org/0000-0002-9575-781X
Shaukat AliWah Engineering College University of Wah Wah Cantt Pakistan.
Sanling FuCollege of Physics Engineering Henan University of Science and Technology Luoyang China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 (

Indexed as

dynamic growth effectsmaizeSPADtemporal–spatial characteristicsvegetation indices

Identifiers

PMID42254423
PMCPMC13240251

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.