Evidence map›Paper›PMID 40733377›Full record

ArticlePlants (Basel, Switzerland)2025

Evaluation and Optimization of Prediction Models for Crop Yield in Plant Factory.

Yaoqi Peng, Yudong Zheng, Zengwei Zheng, Yong He

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yaoqi PengCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Yudong ZhengKey Laboratory of Crop Drought Resistance Research of Hebei Province, Institute of Dryland Farming, Hebei Academy of Agriculture and Forestry Sciences, Hengshui 053000, China.
Zengwei ZhengSchool of Computer and Computing Science, Hangzhou City University, Hangzhou 310015, China.
Yong HeCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0001-6752-1757

Funding

the General Program of National Natural Science Foundation of China Grant No. 62072402
6 · The paper itself

Abstract

This study focuses on enhancing crop yield prediction in plant factory environments through precise crop canopy image capture and background interference removal. This method achieves highly accurate recognition of the crop canopy projection area (CCPA), with a coefficient of determination (R

Indexed as

crop canopy imagecrop yield predictionplant factoryWide Neural Network

Identifiers

PMID40733377
PMCPMC12298579

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.