Evidence map›Paper›PMID 41751069›Full record

ArticleAnimals : an open access journal from MDPI2026

Enhancing Ammonia Concentration Prediction with a Transfer-Learning-Based Model: Application in a Pig Farm.

Sunhyoung Lee, Rack-Woo Kim, Hakjong Shin, Sang-Shin Lee, Won-Gi Choi

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Sunhyoung LeeDepartment of Agriculture Engineering, College of Industrial Sciences, Kongju National University, 54 Daehak-ro, Yesan-eup, Yesan-gun 32439, Chungcheongnam-do, Republic of Korea.
Rack-Woo KimDepartment of Smart-Farm Engineering, College of Industrial Sciences, Kongju National University, 54 Daehak-ro, Yesan-eup, Yesan-gun 32439, Chungcheongnam-do, Republic of Korea.ORCID 0000-0002-5867-0483
Hakjong ShinAgriculture, Animal, Aquaculture & Ocean Intelligence Research Center, Electronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon-si 34129, Republic of Korea.
Sang-Shin LeeAutonomous Intelligent System Research Center, 25 Saenari-ro, Bundang-gu, Seongnam-si 13509, Gyeonggi-do, Republic of Korea.
Won-Gi ChoiAutonomous Intelligent System Research Center, 25 Saenari-ro, Bundang-gu, Seongnam-si 13509, Gyeonggi-do, Republic of Korea.ORCID 0000-0001-7793-4651

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, the swine industry is a major component of agricultural production, and the increasing scale and intensification of pig farming have heightened concerns about NH

Indexed as

ammoniaartificial intelligenceswine housetransfer learningXGBoost

Identifiers

PMID41751069
PMCPMC12937439

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.