Evidence map›Paper›PMID 42293015›Full record

ArticleFrontiers in plant science2026

Predicting wheat yield and grain quality with UAV multispectral imagery and deep learning.

Mohammad Maruf Billah, Maitiniyazi Maimaitijiang, Swas Kaushal, Bruce Millett, Shahid Nawaz Khan, Jyotirmoy Halder, Jonathan Kleinjan, Sunish K Sehgal

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

8 authors.

Mohammad Maruf BillahDepartment of Geography and Geospatial Sciences, Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD, United States.
Maitiniyazi MaimaitijiangDepartment of Geography and Geospatial Sciences, Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD, United States.
Swas KaushalDepartment of Agronomy, Horticulture, and Plant Science, South Dakota State University, Brookings, SD, United States.
Bruce MillettDepartment of Geography and Geospatial Sciences, Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD, United States.
Shahid Nawaz KhanDepartment of Geography and Geospatial Sciences, Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD, United States.
Jyotirmoy HalderDepartment of Agronomy, Horticulture, and Plant Science, South Dakota State University, Brookings, SD, United States.
Jonathan KleinjanDepartment of Agronomy, Horticulture, and Plant Science, South Dakota State University, Brookings, SD, United States.
Sunish K SehgalDepartment of Agronomy, Horticulture, and Plant Science, South Dakota State University, Brookings, SD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bread wheat (

Indexed as

deep learning (DL)high-throughput phenotyping (HTP)protein and test weight estimationunmanned aerial vehicles (UAV)wheat yield

Identifiers

PMID42293015
PMCPMC13253798

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.