Evidence map›Paper›PMID 40647995›Full record

ArticlePlants (Basel, Switzerland)2025

UAV-Based Yield Prediction Based on LAI Estimation in Winter Wheat (

Jinjin Guo, Xiangtong Zeng, Qichang Ma, Yong Yuan, Nv Zhang, Zhizhao Lin, Pengzhou Yin, Hanran Yang, Xiaogang Liu, Fucang Zhang

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Jinjin GuoYunnan Key Laboratory of Efficient Utilization and Intelligent Control of Agricultural Water Resources, Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Xiangtong ZengYunnan Key Laboratory of Efficient Utilization and Intelligent Control of Agricultural Water Resources, Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Qichang MaYunnan Key Laboratory of Efficient Utilization and Intelligent Control of Agricultural Water Resources, Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Yong YuanYunnan Key Laboratory of Efficient Utilization and Intelligent Control of Agricultural Water Resources, Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Nv ZhangYunnan Key Laboratory of Efficient Utilization and Intelligent Control of Agricultural Water Resources, Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Zhizhao LinYunnan Key Laboratory of Efficient Utilization and Intelligent Control of Agricultural Water Resources, Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Pengzhou YinYunnan Key Laboratory of Efficient Utilization and Intelligent Control of Agricultural Water Resources, Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Hanran YangYunnan Key Laboratory of Efficient Utilization and Intelligent Control of Agricultural Water Resources, Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Xiaogang LiuYunnan Key Laboratory of Efficient Utilization and Intelligent Control of Agricultural Water Resources, Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
Fucang ZhangKey Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of the Ministry of Education, Northwest A&F University, Xi'an 712100, China.ORCID 0000-0002-6659-3262

Funding

Research on Green Intelligent Fertiliser and Highland Speciality Agriculture Technology 202305AK340002the Key Laboratory of Efficient Utilisation of Agricultural Water Resources and Intelligent Control in Yunnan Province 202449CE340014This research was funded by Yunnan Fundamental Research Projects 202301BE070001-050This research was funded by Yunnan Fundamental Research Projects 202401AT070335This research was funded by Yunnan Fundamental Research Projects 202401AU070138Yunnan Revitalization Talent Support Program. Yunnan Province College Students Innovation and Entrepreneur ship Training Program Project Funding S202410674210
6 · The paper itself

Abstract

The rapid and accurate prediction of crop yield and the construction of optimal yield prediction models are important for guiding field-scale agronomic management practices in precision agriculture. This study selected the leaf area index (LAI) of winter wheat (

Indexed as

leaf area indexN fertilization type and rateremote sensingwinter wheatyield prediction

Identifiers

PMID40647995
PMCPMC12252415

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.