Evidence map›Paper›PMID 42382234›Full record

ArticlePlant phenomics (Washington, D.C.)2026

Synchronized UAV multi-angle inversion of canopy structure parameters in wheat breeding materials.

Zhiwen Mi, Jinya Su, Qifan Chen, Bingyou Ding, Tengfei Han, Qifan Wang, Yiyan Fan, Dejun Han, Jianhui Wu, Fahu Xu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plant phenomics (Washington, D.C.), 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

11 authors.

Zhiwen MiCollege of Mechanical and Electronic Engineering, Northwest A&F University, Key Laboratory of Agricultural Internet of Things, Yangling, 712100, Shaanxi, China.
Jinya SuSchool of Automation, and Key Laboratory of Measurement and Control of CSE, Ministry of Education, Southeast University, Nanjing, 210096, Jiangsu, China.
Qifan ChenCollege of Mechanical and Electronic Engineering, Northwest A&F University, Key Laboratory of Agricultural Internet of Things, Yangling, 712100, Shaanxi, China.
Bingyou DingCollege of Agronomy, Northwest A&F University, State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, Yangling, 712100, Shaanxi, China.
Tengfei HanCollege of Mechanical and Electronic Engineering, Northwest A&F University, Key Laboratory of Agricultural Internet of Things, Yangling, 712100, Shaanxi, China.
Qifan WangCollege of Mechanical and Electronic Engineering, Northwest A&F University, Key Laboratory of Agricultural Internet of Things, Yangling, 712100, Shaanxi, China.
Yiyan FanCollege of Mechanical and Electronic Engineering, Northwest A&F University, Key Laboratory of Agricultural Internet of Things, Yangling, 712100, Shaanxi, China.
Dejun HanCollege of Agronomy, Northwest A&F University, State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, Yangling, 712100, Shaanxi, China.
Jianhui WuCollege of Agronomy, Northwest A&F University, State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, Yangling, 712100, Shaanxi, China.
Fahu XuCollege of Mechanical and Electronic Engineering, Northwest A&F University, Key Laboratory of Agricultural Internet of Things, Yangling, 712100, Shaanxi, China.
Baofeng SuCollege of Mechanical and Electronic Engineering, Northwest A&F University, Key Laboratory of Agricultural Internet of Things, Yangling, 712100, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating canopy structure - leaf inclination distribution (LIDFa), leaf area index (LAI), and fractional vegetation cover (FCover) - is vital for breeding, yet the added value of multi-angular UAV sensing over nadir-only baselines remains insufficiently quantified. This study developed a UAV-based multi-angular inversion framework that derived high-resolution bidirectional reflectance factors (BRF) from oblique photogrammetry and fitted a kernel-driven BRDF model to characterize reflectance anisotropy. Using transfer learning across cultivars and dates, we compared the retrieval performance of multi-angle versus nadir-only baselines for LIDFa, LAI, and FCover. BRDF model simulations agreed well with airborne BRF (optimal

Indexed as

Fractional vegetation coverLeaf area indexLeaf inclination distribution parameterReflectance anisotropySemi-empirical BRDF modelUnmanned aerial vehicle (UAV)

Identifiers

PMID42382234
PMCPMC13316265

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.