Evidence map›Paper›PMID 40075455›Full record

ArticlePlant methods2025

Spectral estimation of the aboveground biomass of cotton under water-nitrogen coupling conditions.

Shunyu Qiao, Jiaqiang Wang, Fuqing Li, Jing Shi, Chongfa Cai

Abstract read
In one paragraph

Article in Plant methods, 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
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0citing papers in PubMed
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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

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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

5 authors.

Shunyu QiaoCollege of Agriculture, Tarim University, Xinjiang Alar, 843300, China.
Jiaqiang WangCollege of Agriculture, Tarim University, Xinjiang Alar, 843300, China. wjqzky@taru.edu.cn.
Fuqing LiCollege of Agriculture, Tarim University, Xinjiang Alar, 843300, China.
Jing ShiCollege of Agriculture, Tarim University, Xinjiang Alar, 843300, China.
Chongfa CaiCollege of Resource and Environment, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.

Funding

Jiaqiang Wang 2022XX001
6 · The paper itself

Abstract

aimsHyperspectral remote sensing technology can quickly obtain above-ground biomass (AGB) information of cotton, playing an important role in realizing accurate management for cotton cultivation.

methodsUsing Tahe-2 as the research object, nitrogen application rates and irrigation amounts were set to 0 (N

resultsThe results revealed the following: (1) The AGB of cotton at the bud stage was highest under the W

conclusionsIn terms of model testing, the RT model was found to be the most accurate for estimating cotton AGB, outperforming SVM and CNN.

Indexed as

BiomassCottonWater‒nitrogen coupling

Identifiers

PMID40075455
PMCPMC11899358

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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.