The Evaluation of Small-Scale Field Maize Transpiration Rate from UAV Thermal Infrared Images Using Improved Three-Temperature Model.

Xiaofei Yang, Zhitao Zhang, Qi Xu, Ning Dong, Xuqian Bai, Yanfu Liu

Abstract read

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 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.

Multi-Level Approaches for Assessing Molecular and Physiological Traits of Drought and Heat Stress Tolerance in Plant Reproductive Development.Physiologia plantarum
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

6 authors.

Xiaofei YangCollege of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China.

Zhitao ZhangCollege of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China.

Qi XuCollege of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China.

Ning DongCollege of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China.

Xuqian BaiCollege of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China.

Yanfu LiuCollege of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China.

Funding

National Natural Science Foundation of China 52179044National Natural Science Foundation of China 52479050

6 · The paper itself

Abstract

Transpiration is the dominant process driving water loss in crops, significantly influencing their growth, development, and yield. Efficient monitoring of transpiration rate (Tr) is crucial for evaluating crop physiological status and optimizing water management strategies. The three-temperature (3T) model has potential for rapid estimation of transpiration rates, but its application to low-altitude remote sensing has not yet been further investigated. To evaluate the performance of 3T model based on land surface temperature (LST) and canopy temperature (T

Indexed as

GHMRF modelthermal infrared remote sensingthree-temperature modeltranspiration rateunmanned aerial vehicle

Identifiers

PMID40733446

DOI10.3390/plants14142209

PMCPMC12297977

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.