Evidence map›Paper›PMID 37332289›Full record

ArticleJournal of animal science and technology2023

Estimating vegetation index for outdoor free-range pig production using YOLO.

Sang-Hyon Oh, Hee-Mun Park, Jin-Hyun Park

Abstract read
In one paragraph

Article in Journal of animal science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

3 authors.

Sang-Hyon OhDivision of Animal Science, College of Agriculture and Life Science, Gyeongsang National University, Jinju 52725, Korea.ORCID https://orcid.org/0000-0002-9696-9638
Hee-Mun ParkSchool of Mechatronics Engineering, Engineering College of Convergence Technology, Gyeongsang National University, Jinju 52725, Korea.ORCID https://orcid.org/0000-0001-5182-1739
Jin-Hyun ParkSchool of Mechatronics Engineering, Engineering College of Convergence Technology, Gyeongsang National University, Jinju 52725, Korea.ORCID https://orcid.org/0000-0002-7966-0014

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to quantitatively estimate the level of grazing area damage in outdoor free-range pig production using a Unmanned Aerial Vehicles (UAV) with an RGB image sensor. Ten corn field images were captured by a UAV over approximately two weeks, during which gestating sows were allowed to graze freely on the corn field measuring 100 × 50 m

Indexed as

Image analysisOutdoorPigProductionVegetation index

Identifiers

PMID37332289
PMCPMC10271927

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.