Evidence map›Paper›PMID 41593107›Full record

ArticleScientific data2026

Vectorized Agrivoltaics Dataset in China from 2010 to 2022.

Xueyan Zhang, Xin Ma

Abstract read
In one paragraph

Article in Scientific data, 2026. 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

2 authors.

Xueyan ZhangKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 11A Datun Rd, Beijing, 100101, China.
Xin MaInstitute of Environment & Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, 100081, P.R. China. maxin02@caas.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32171561National Natural Science Foundation of China (National Science Foundation of China) 32271638
6 · The paper itself

Abstract

Agrivoltaics is a farming method that strategically integrates solar panels with agricultural production, a dual-use system that boosts food production while generating clean energy. China is the one of leading countries in agrivoltaics. However, no robust vectorized dataset has been available to verify the distribution of agrivoltaics in China. This study aims to provide the first nationwide agrivoltaics distribution and type dataset in China using comprehensive identification methods based on published spatial data of photovoltaic power stations and agrivoltaics records. The overall accuracy of agrivoltaics through visual examination is 89.71%. The results show that: (1) By 2022, there are 1,678 agrivoltaics projects in China with a total installation capacity of 134.55 GW. (2) China launched its first commercial agrivoltaics in 2010, reaching a peak of 347 projects in 2017, after which the number of new agrivoltaics projects has remained no less than 140 annually. (3) The three most common agrivoltaics types are crop-based, fishery-based, and greenhouse-based. This vectorized agrivoltaics dataset will support macro-level management and the sustainable development of agrivoltaics.

Identifiers

PMID41593107
PMCPMC12855862

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.