Evidence map›Paper›PMID 40872097›Full record

ArticlePlants (Basel, Switzerland)2025

A Detection Approach for Wheat Spike Recognition and Counting Based on UAV Images and Improved Faster R-CNN.

Donglin Wang, Longfei Shi, Huiqing Yin, Yuhan Cheng, Shaobo Liu, Siyu Wu, Guangguang Yang, Qinge Dong, Jiankun Ge, Yanbin Li

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. Article
  2. Article
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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.

Donglin WangCollege of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450000, China.
Longfei ShiCollege of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450000, China.
Huiqing YinCollege of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450000, China.
Yuhan ChengCollege of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450000, China.
Shaobo LiuSchool of Water Resources and Environment Engineering, Nanyang Normal University, Nanyang 473061, China.ORCID 0000-0002-3904-5359
Siyu WuCollege of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China.
Guangguang YangSchool of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK.
Qinge DongInstitute of Water-Saving Agriculture in Arid Areas of China (IWSA), Northwest A&F University, Xianyang 712100, China.
Jiankun GeCollege of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450000, China.
Yanbin LiCollege of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450000, China.

Funding

Henan Province Key R&D and Promotion Special Project (Science and Technology Targeted) 232102321101Henan Province Key R&D and Promotion Special Project (Science and Technology Targeted) 252102110352Natural Science Foundation of Henan Province 242300420035the National Key Research and Development Program of China 2022YFD1900402
6 · The paper itself

Abstract

This study presents an innovative unmanned aerial vehicle (UAV)-based intelligent detection method utilizing an improved Faster Region-based Convolutional Neural Network (Faster R-CNN) architecture to address the inefficiency and inaccuracy inherent in manual wheat spike counting. We systematically collected a high-resolution image dataset (2000 images, 4096 × 3072 pixels) covering key growth stages (heading, grain filling, and maturity) of winter wheat (

Indexed as

faster R-CNNprecision agricultureUAV-based phenotypingwheat spike detectionyield prediction

Identifiers

PMID40872097
PMCPMC12389362

What OpenQuestion holds

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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.