Evidence map›Paper›PMID 39860002›Full record

ArticleLife (Basel, Switzerland)2025

Estimation Model for Cotton Canopy Structure Parameters Based on Spectral Vegetation Index.

Yaqin Qi, Xi Chen, Zhengchao Chen, Xin Zhang, Congju Shen, Yan Chen, Yuanying Peng, Bing Chen, Qiong Wang, Taijie Liu and 1 more

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 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

11 authors.

Yaqin QiAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.ORCID 0009-0002-7487-4926
Xi ChenAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Zhengchao ChenAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.ORCID 0000-0003-4293-6459
Xin ZhangResearch Institute, Xinjiang Academy Agricultural and Reclamation Science, Shihezi 832003, China.
Congju ShenResearch Institute, Xinjiang Academy Agricultural and Reclamation Science, Shihezi 832003, China.
Yan ChenThe Oasis Key Laboratory of Ecological Agriculture of Xinjiang, Shihezi University, Shihezi 832003, China.
Yuanying PengCollege of Arts and Sciences, Lewis University, Romeoville, IL 60446, USA.ORCID 0000-0003-2975-1425
Bing ChenResearch Institute, Xinjiang Academy Agricultural and Reclamation Science, Shihezi 832003, China.
Qiong WangResearch Institute, Xinjiang Academy Agricultural and Reclamation Science, Shihezi 832003, China.
Taijie LiuResearch Institute, Xinjiang Academy Agricultural and Reclamation Science, Shihezi 832003, China.
Hao ZhangAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.

Funding

Special Project for Agricultural Science and Technology Innovation of the Xinjiang Production and Construction Corps (NCG202311);XPCC Agricultural Innovation Project Spe-cial Fund Project: Cotton field information intelligent acquisition and intelligent m (NCG202311),(NCG202304)
6 · The paper itself

Abstract

The spectral vegetation indices derived from remote sensing data provide a detailed spectral analysis for assessing vegetation characteristics. This study investigated the relationship between cotton yield and canopy spectral indices to develop yield estimation models. Spectral reflectance data were collected at various growth stages using an ASD FieldSpec Pro VNIR 2500 spectrometer. Six prediction models were developed using spectral vegetation indices, including the Normalized Difference Vegetation Index (

Indexed as

cotton canopy informationestimation modelspectral vegetation index

Identifiers

PMID39860002
PMCPMC11766758

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Registered trials

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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.