Evidence map›Paper›PMID 40702069›Full record

ArticleScientific reports2025

Macro and micronutrient based soil fertility zonation using fuzzy logic and geospatial techniques.

Meeniga Venkateswarlu, Srinivas Rallapalli, Amit Singh, G Sai Sesha Chalapathi, Suresh Kumar, Yashwant Bhaskar Katpatal, Gouligari Sujatha

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Meeniga VenkateswarluDepartment of Civil Engineering, Birla Institute of Technology and Science, Pilani, Rajasthan, India. meeniga.venkateswarlu@pilani.bits-pilani.ac.in.
Srinivas RallapalliDepartment of Civil Engineering, Birla Institute of Technology and Science, Pilani, Rajasthan, India. r.srinivas@pilani.bits-pilani.ac.in.
Amit SinghDepartment of Mechanical Engineering, Birla Institute of Technology and Science, Pilani, Rajasthan, India.
G Sai Sesha ChalapathiDepartment of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Pilani, Rajasthan, India.
Suresh KumarAgriculture, Forestry and Ecology Group, Indian Institute of Remote Sensing, Dehradun, India.
Yashwant Bhaskar KatpatalDepartment of Civil Engineering, Visvesvaraya National Institute of Technology, Nagpur, India.
Gouligari SujathaNational Remote Sensing Centre, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modeling the spatial variability and uncertainty of soil fertility parameters is crucial for sustainable agriculture but remains a challenge due to complex interactions between soil properties. Traditional models often assess individual parameters, such as pH or nitrogen (N), without considering their combined influence and uncertainty. This study develops a fuzzy logic and geoinformatics-based approach to simultaneously assess multiple soil fertility parameters. The model integrates 80 fuzzy rules to evaluate macro- and micronutrients, incorporating 250 soil samples analyzed using the PUSA Soil Test and Fertilizer Recommendation Meter (STFR). Experimental results showed soil fertility parameter ranges: pH (7.46-8.26), ECe (0.267-0.807 dS m

Indexed as

Crop productivityFuzzy logicGISSoil fertilityZone mapping

Identifiers

PMID40702069
PMCPMC12287334

What OpenQuestion holds

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LicenceCC BY
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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.