Evidence map›Paper›PMID 38339581›Full record

ArticleSensors (Basel, Switzerland)2024

Evaluating the Soil Quality Index Using Three Methods to Assess Soil Fertility.

Hiba Chaudhry, Hiteshkumar Bhogilal Vasava, Songchao Chen, Daniel Saurette, Anshu Beri, Adam Gillespie, Asim Biswas

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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
12.1field-weighted citation impact, top 1% of its field
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, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Synergistic Effects ofPlants (Basel, Switzerland) · 2025
    Article
  4. Review
  5. 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

7 authors at 1 institution in 1 country.

Hiba ChaudhrySchool of Environmental Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0003-0670-6875
Hiteshkumar Bhogilal VasavaSchool of Environmental Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Songchao ChenZJU-Hangzhou Global Scientific and Technological Innovation Center, Xiaoshan District, Hangzhou 311215, China.ORCID 0000-0003-1245-0482
Daniel SauretteSchool of Environmental Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Anshu BeriSchool of Environmental Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Adam GillespieSchool of Environmental Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada.
Asim BiswasSchool of Environmental Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0003-0801-3546
University of Guelph · CA

Funding

Natural Science and Engineering Research Council of Canada RGPIN-2020-05017Ontario Agri-Food Innovation Alliance UofG2017-2903
6 · The paper itself

Abstract

Soil health plays a crucial role in crop production, both in terms of quality and quantity, highlighting the importance of effective methods for preserving soil quality to ensure global food security. Soil quality indices (SQIs) have been widely utilized as comprehensive measures of soil function by integrating multiple physical, chemical, and biological soil properties. Traditional SQI analysis involves laborious and costly laboratory analyses, which limits its practicality. To overcome this limitation, our study explores the use of visible near-infrared (vis-NIR) spectroscopy as a rapid and non-destructive alternative for predicting soil properties and SQIs. This study specifically focused on seven soil indicators that contribute to soil fertility, including pH, organic matter (OM), potassium (K), calcium (Ca), magnesium (Mg), available phosphorous (P), and total nitrogen (TN). These properties play key roles in nutrient availability, pH regulation, and soil structure, influencing soil fertility and overall soil health. By utilizing vis-NIR spectroscopy, we were able to accurately predict the soil indicators with good accuracy using the Cubist model (R

Indexed as

fertility analysissoil health indicatorssoil quality indexspectroscopy

Identifiers

PMID38339581
PMCPMC10857350
OpenAlexW4391345203

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.