Evidence map›Paper›PMID 42041019›Full record

ArticlePlant phenomics (Washington, D.C.)2025

The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (

Shenghui Fang, Yuanjin Li, Mengyu Ge, Ningge Yuan, Yi Peng, Yan Gong, Yadong Liu, Renshan Zhu, Xianting Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plant phenomics (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Shenghui FangSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Yuanjin LiSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Mengyu GeHubei Institute of Land Surveying and Mapping, Wuhan, 430019, China.
Ningge YuanSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Yi PengSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Yan GongSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Yadong LiuSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China.
Renshan ZhuCollege of Life Sciences, Wuhan University, Wuhan, 430079, China.
Xianting WuCollege of Life Sciences, Wuhan University, Wuhan, 430079, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fraction of Absorbed Photosynthetically Active Radiation (fAPAR) is a crucial indicator of photosynthetic characteristics in crop growth monitoring and yield estimation. Traditional vegetation indices (VIs) struggle to achieve accurate estimations throughout the entire crop growth period due to canopy structural changes, particularly during the senescence phase. This study explores a novel VI, the Normalized Dynamically Adjusted Vegetation Index (NDAVI), for estimating green fAPAR (fAPAR

Indexed as

Absorption coefficientfAPARPrecision agricultureRiceUAV remote sensing

Identifiers

PMID42041019
PMCPMC13109319

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.