Evidence map›Paper›PMID 37850120›Full record

ArticlePlant phenomics (Washington, D.C.)2023

Panicle-Cloud: An Open and AI-Powered Cloud Computing Platform for Quantifying Rice Panicles from Drone-Collected Imagery to Enable the Classification of Yield Production in Rice.

Zixuan Teng, Jiawei Chen, Jian Wang, Shuixiu Wu, Riqing Chen, Yaohai Lin, Liyan Shen, Robert Jackson, Ji Zhou, Changcai Yang

Abstract read
In one paragraph

Article in Plant phenomics (Washington, D.C.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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.

Zixuan TengDigital Fujian Research Institute of Big Data for Agriculture and Forestry, College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID https://orcid.org/0009-0007-9536-7735
Jiawei ChenState Key Laboratory of Crop Genetics & Germplasm Enhancement, academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing 210095, China.ORCID https://orcid.org/0000-0002-5035-7804
Jian WangNingxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China.ORCID https://orcid.org/0009-0006-0381-2946
Shuixiu WuDigital Fujian Research Institute of Big Data for Agriculture and Forestry, College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID https://orcid.org/0009-0004-6494-039X
Riqing ChenDigital Fujian Research Institute of Big Data for Agriculture and Forestry, College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID https://orcid.org/0000-0001-7828-550X
Yaohai LinDigital Fujian Research Institute of Big Data for Agriculture and Forestry, College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID https://orcid.org/0000-0002-1654-1130
Liyan ShenState Key Laboratory of Crop Genetics & Germplasm Enhancement, academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing 210095, China.ORCID https://orcid.org/0000-0001-6831-2914
Robert JacksonCambridge Crop Research, National Institute of Agricultural Botany (NIAB), Cambridge CB3 0LE, UK.ORCID https://orcid.org/0000-0002-8364-1633
Ji ZhouState Key Laboratory of Crop Genetics & Germplasm Enhancement, academy for Advanced Interdisciplinary Studies, Nanjing Agricultural University, Nanjing 210095, China.ORCID https://orcid.org/0000-0002-5752-5524
Changcai YangDigital Fujian Research Institute of Big Data for Agriculture and Forestry, College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID https://orcid.org/0000-0003-0996-9718

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice (

Identifiers

PMID37850120
PMCPMC10578299

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.