Evidence map›Paper›PMID 42774599›Full record

ArticleFrontiers in plant science2026

Prediction of growth parameters in the medicinal plant

Feng Pang, Haoyan Jiang, Tao Li, Haibin Guan, Yukai Zhao, Chuanling Zhang, Xin Jia, Yan Xue, Fengyu Han, Xiaoqin Wang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2026. 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.

Feng PangCollege of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Haoyan JiangCollege of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Tao LiCollege of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Haibin GuanCollege of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Yukai ZhaoChifeng Academy of Agricultural and Animal Husbandry Sciences, Chifeng, China.
Chuanling ZhangCollege of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Xin JiaCollege of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Yan XueCollege of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Fengyu HanInner Mongolia Tianqi Han and Mongolia Pharmaceutical Co. Ltd., Chifeng, China.
Xiaoqin WangCollege of Pharmacy, Inner Mongolia Medical University, Hohhot, China.
Yang CaoCollege of Pharmacy, Inner Mongolia Medical University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medicinal plants are critical sources of bioactive materials, yet efficient field-scale monitoring of their growth responses to water and nitrogen management remains limited. The present work evaluated Unmanned Aerial Vehicle (UAV) multispectral sensing for estimating leaf area index (LAI), underground fresh weight (UFW), aboveground fresh weight (AFW), underground dry weight (UDW), and aboveground dry weight (ADW) in

Indexed as

aboveground biomassA. membranaceusleaf area indexmachine learningunderground biomassUnmanned Aerial Vehicle multispectral remote sensing

Identifiers

PMID42774599
PMCPMC13594997

What OpenQuestion holds

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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.