Evidence map›Paper›PMID 37799559›Full record

ArticleFrontiers in plant science2023

Grassland health assessment based on indicators monitored by UAVs: a case study at a household scale.

Yifei Luo, Wenxiang Ji, Wenjun Wu, Yafang Liao, Xinyi Wei, Yudie Yang, Guoqiang Dong, Qingshan Ma, Shuhua Yi, Yi Sun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2023. 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
1.3field-weighted citation impact, top 15% of its field
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, 3 citations in OpenAlex.

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

10 authors at 2 institutions in 1 country.

Yifei LuoInstitute of Fragile Eco-environment, School of Geographic Science, Nantong University, Nantong, China.
Wenxiang JiInstitute of Fragile Eco-environment, School of Geographic Science, Nantong University, Nantong, China.
Wenjun WuInstitute of Fragile Eco-environment, School of Geographic Science, Nantong University, Nantong, China.
Yafang LiaoInstitute of Fragile Eco-environment, School of Geographic Science, Nantong University, Nantong, China.
Xinyi WeiInstitute of Fragile Eco-environment, School of Geographic Science, Nantong University, Nantong, China.
Yudie YangInstitute of Fragile Eco-environment, School of Geographic Science, Nantong University, Nantong, China.
Guoqiang DongInstitute of Fragile Eco-environment, School of Geographic Science, Nantong University, Nantong, China.
Qingshan MaState Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China.
Shuhua YiInstitute of Fragile Eco-environment, School of Geographic Science, Nantong University, Nantong, China.
Yi SunInstitute of Fragile Eco-environment, School of Geographic Science, Nantong University, Nantong, China.
Nantong University · CNLanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grassland health assessment (GHA) is a bridge of study and management of grassland ecosystem. However, there is no standardized quantitative indicators and long-term monitor methods for GHA at a large scale, which may hinder theoretical study and practical application of GHA. In this study, along with previous concept and practices (i.e., CVOR, the integrated indexes of condition, vigor, organization and resilience), we proposed an assessment system based on the indicators monitored by unmanned aerial vehicles (UAVs)-UAV

Indexed as

biological indexenvironmental conditionFragMAPgrassland ecosystemgrassland health monitor

Identifiers

PMID37799559
PMCPMC10548208
OpenAlexW4386930831

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.