Evidence map›Paper›PMID 42152565›Full record

ArticleJournal of Zhejiang University. Science. B2026

Embedding of ripening topology into one-stage detection for tomato cluster phenotyping.

Bingquan Chu, Ruiyuan Wu, Haijun Zhang, Haochuan Qin, Zishun Peng, Fengle Zhu, Yong He

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of Zhejiang University. Science. B, 2026. 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.

  1. 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

7 authors.

Bingquan ChuSchool of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Ruiyuan WuSchool of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Haijun ZhangSchool of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Haochuan QinSchool of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Zishun PengSchool of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.
Fengle ZhuCollege of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China. zhufl@zjut.edu.cn.
Yong HeCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. yhe@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The automated assessment of tomato ripeness is vital for modern greenhouse operations, yet challenges remain due to variable environmental conditions. To provide a solution, we propose rank-aware You Only Look Once (YOLO), a novel detection framework that incorporates the biological prior of top-to-bottom ripening within fruit clusters. This is achieved through two key innovations: an efficient position-aware head for regressing relative height for fruits and a dynamic margin-aware ranking loss (DM-RankLoss) that enforces the correct spatial sequence. Evaluated on a 3500-image dataset from a solar greenhouse, our plug-and-play module could boost the mean average precision (mAP) at intersection over union (IoU) threshold of 0.50 (mAP

Indexed as

FruitSolanum lycopersicumAlgorithmsDetection AlgorithmsPhenotypeObject detectionPhenotypeSpatial sequenceTomato ripenessTopologyYou Only Look Once (YOLO)

Identifiers

PMID42152565
PMCPMC13183487

What OpenQuestion holds

Textmetadata
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.