Evidence map›Paper›PMID 41095190›Full record

ArticlePlants (Basel, Switzerland)2025

Detection of Abiotic Stress in Potato and Sweet Potato Plants Using Hyperspectral Imaging and Machine Learning.

Min-Seok Park, Mohammad Akbar Faqeerzada, Sung Hyuk Jang, Hangi Kim, Hoonsoo Lee, Geonwoo Kim, Young-Son Cho, Woon-Ha Hwang, Moon S Kim, Insuck Baek and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

11 authors.

Min-Seok ParkDepartment of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.
Mohammad Akbar FaqeerzadaDepartment of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.ORCID 0000-0002-1829-2502
Sung Hyuk JangDepartment of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.
Hangi KimDepartment of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.
Hoonsoo LeeDepartment of Biosystems Engineering, College of Agriculture, Life, and Environment Sciences, Chungbuk National University, 1 Chungdae-ro, Seowon-gu, Cheongju 28644, Republic of Korea.ORCID 0000-0001-8074-4234
Geonwoo KimDepartment of Bio-Industrial Machinery Engineering, College of Agriculture and Life Science, Gyeongsang National University, 501 Jinju-daero, Jinju-si 52828, Republic of Korea.ORCID 0000-0002-6274-3649
Young-Son ChoDepartment of Smart-Agricultural Industry, School of Agricultural Life Sciences, Gyeongsang National University, 501 Jinju-daero, Jinju-si 52828, Republic of Korea.
Woon-Ha HwangDivision of Crop Physiology and Production, National Institute of Crop Science, Rural Development Administration, 181 Hyeoksin-ro, Iseo-myeon, Wanju-gun 55365, Republic of Korea.
Moon S KimEnvironmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD 20705, USA.
Insuck BaekEnvironmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD 20705, USA.
Byoung-Kwan ChoDepartment of Biosystems Machinery Engineering, Chungnam National University, Daejeon 34134, Republic of Korea.ORCID 0000-0002-8397-9853

Funding

This research was supported by a grant from the National Institute of Crop Science, fund-ed by the Rural Development Administration, Republic of Korea (No RS-2023-00218387). No RS-2023-00218387
6 · The paper itself

Abstract

As climate extremes increasingly threaten global food security, precision tools for early detection of crop stress have become vital, particularly for root crops such as potato (

Indexed as

abiotic stress detectionband selectioncrop health monitoringhyperspectral imagingmachine learning

Identifiers

PMID41095190
PMCPMC12525984

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.