Evidence map›Paper›PMID 40594516›Full record

ArticleScientific reports2025

Delineation and evaluation of management zones for site-specific nutrient management using a geostatistical and fuzzy C mean cluster approach.

Pandit Vaibhav Bhagwan, Theerthala Anjaiah, Chitteti Ravali, Darshanoju Srinivasa Chary, Abu Taha Zamani, Sajid Ullah, Nazih Y Rebouh, Aqil Tariq

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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.

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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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Pandit Vaibhav BhagwanDepartment of Soil Science and Agricultural Chemistry, School of Agriculture, SR University, Warangal, 506371, Telangana, India.
Theerthala AnjaiahInstitute of Soil Health Management, Professor Jayashankar Telangana State Agricultural University, Hyderabad, 500030, Telangana, India.
Chitteti RavaliDepartment of Soil Science and Agricultural Chemistry, School of Agriculture, SR University, Warangal, 506371, Telangana, India.
Darshanoju Srinivasa CharyDepartment of Mathematics and Statistics, College of Agriculture, Telangana State Agricultural University, Hyderabad, 500030, Telangana, India.
Abu Taha ZamaniDepartment of Computer Science, Faculty of Science, Northern Border University, Arar, 73213, Kingdom of Saudi Arabia.
Sajid UllahDepartment of Water Resources and Environmental Engineering, Nangarhar University, Jalalabad, Nangarhar, 2600, Afghanistan. sajidjalwan@gmail.com.
Nazih Y RebouhDepartment of Environmental Management, Institute of Environmental Engineering, RUDN University, Miklukho-Maklaya St, Moscow, 117198, Russia.
Aqil TariqDepartment of Wildlife, Fisheries and Aquaculture, College of Forest Resources, Mississippi State University, Mississippi State, MS, 39762-9690, USA. at2139@msstate.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expansive soil spatial variability plays a key role in the over- and under-application of fertilizers, contributing to environmental pollution. Assess soil variability and delineate it into management zones to adopt site-specific nutrient management for balanced fertilization and sustainable agriculture. To assess spatial variability by geostatistical methods and delineate and evaluate nutrient management zones for site-specific nutrient management and variable rate fertilizer application using fuzzy c-means clustering. Overall, 200 soil samples (0-15 cm depth) with geographical coordinates were collected with a grid size of 14.2 m × 14.2 m from a 4-ha maize cultivated 4-ha of Mahagoan village of Bhainsa Mandal, Nirmal district, Telangana, India. The collected samples were tested with different reagents to determine the soil reaction and available nutrient status. Soil spatial variability was assessed by the geostatistical method, and delineation of nutrient management zones was carried out by integrating principal component analysis and fuzzy c-means clustering. Geostatistical analysis revealed spherical (pH, electrical conductivity, organic carbon, available sulfur, and available Zn) and Gaussian (available nitrogen, available P

Indexed as

Fuzzy C-means clusteringFuzzy performance indexManagement zoneNormalized classification indexPrincipal component analysisSoil test crop responseSpatial variability

Identifiers

PMID40594516
PMCPMC12219775

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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.