Evidence map›Paper›PMID 39553918›Full record

ArticleHardwareX2024

A 3D-Printable smartphone accessory for plant leaf chlorophyll measurement.

Karen Ospino-Villalba, Daniel Gaviria, Daniel Pineda, Juan Pérez

Abstract read
In one paragraph

Article in HardwareX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

4 authors.

Karen Ospino-VillalbaFacultad de Ciencias Agrarias. Universidad Nacional de Colombia - Sede Medellín. Carrera 65 #59a-110, Medellín, Antioquia, Colombia.
Daniel GaviriaFacultad de Ciencias Agrarias. Universidad Nacional de Colombia - Sede Medellín. Carrera 65 #59a-110, Medellín, Antioquia, Colombia.
Daniel PinedaFacultad de Ciencias. Universidad Nacional de Colombia - Sede Medellín. Carrera 65 #59a-110, Medellín, Antioquia, Colombia.
Juan PérezFacultad de Ciencias. Universidad Nacional de Colombia - Sede Medellín. Carrera 65 #59a-110, Medellín, Antioquia, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant health and nutrition are universally inferred from leaf chlorophyll content. This research developed a 3D-printed accessory which attaches to the ambient light sensor in a smartphone to estimate leaf chlorophyll content in five tropical plant species. It unveils 3D printing files and assembling details to freely built the accessory anywhere. It is made from a 3D-printed body, a lighting circuit and common spare parts to measure a 663 nm LED band transmission through intact plant leaves. This chlorophyll absorbing light band allows to measure its concentration. The device was tested by comparing its readings to the universal spectrophotometric test or by leaf parallel measurements with a standard SPAD 502™ meter, and it performed as well as these universal standard methods. Due to well-studied relationships between chlorophyll concentration and nutritional status of plants, and the ubiquitous presence of other sensors in smartphones today, the independent improvement and adoption of this smartphone-connected system would ease the spread of precision farming and digital agronomy practices throughout the different scales of agriculture.

Indexed as

3D printing in agricultureCrop sensingSmartphone sensors in plant analysis

Identifiers

PMID39553918
PMCPMC11565034

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.