Evidence map›Paper›PMID 39630896›Full record

ArticleScience advances2024

Sunflower-like self-sustainable plant-wearable sensing probe.

Shuang Wang, Yangfan Chai, Huiwen Sa, Weikang Ye, Qian Wang, Yu Zou, Xuan Luo, Lijuan Xie, Xiangjiang Liu

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Multiscale Manufacturing of Organic Electronic Materials.Advanced materials (Deerfield Beach, Fla.) · 2026
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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

9 authors.

Shuang WangCollege of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0009-0006-4864-2004
Yangfan ChaiCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.ORCID 0009-0002-5385-335X
Huiwen SaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Weikang YeCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Qian WangCollege of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0000-0002-7005-1570
Yu ZouCollege of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China.
Xuan LuoCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Lijuan XieCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-1008-5410
Xiangjiang LiuCollege of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0000-0002-5419-669X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Powering and communicating with wearable devices on bio-interfaces is challenging due to strict weight, size, and resource constraints. This study presents a sunflower-like plant-wearable sensing device that harnesses solar energy, achieving complete energy self-sustainability for long-term monitoring of plant sap flow, a crucial indicator of plant health. It features foldable solar panels along with all essential flexible electronic components, resulting in a compact system that is lightweight enough for small plants. To tackle the low-energy density of solar power, we developed an ultralow-energy light communication mechanism inspired by fireflies. Together with unmanned aerial vehicles and deep learning algorithms, this approach enables efficient data retrieval from multiple devices across large agricultural fields. With its simple deployment, it shows great potential as a low-cost plant phenotyping tool. We believe our energy and communication solution for wearable devices can be extended to similar resource-limited and challenging scenarios, leading to exciting applications.

Identifiers

PMID39630896
PMCPMC11616689

What OpenQuestion holds

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Registered trials

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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.