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Cited by 534Soil Management and Crop YieldSoil Geostatistics and MappingCrop Yield and Soil Fertility

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Crop and Soil Productivity Response to Corn Residue Removal

Wilhelm, W. W., Johnson, J. M. F., Hatfield, J. L., Voorhees, W. B., Linden, D. R.·2004·Agronomy Journal
DOI 10.2134/agronj2004.0001
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Abstract

Producers using site-specific crop management (SSCM) have a need for strategies to delineate areas within fields to which management can be tailored. These areas are often referred to as management zones Quick and automated procedures are desirable for creating management zones and for testing the question of the number of zones to create. A software program called Management Zone Analyst (MZA) was developed using a fuzzy c-means unsupervised clustering algorithm that assigns field information into like classes, or potential management zones. An advantage of MZA over many other software programs is that it provides concurrent output for a range of cluster numbers so that the user can evaluate how many management zones should be used. Management Zone Analyst was developed using Microsoft Visual Basic 6.0 and operates on any computer with Microsoft Windows (95 or newer). Concepts and theory behind MZA are presented as are the sequential steps of the program. Management Zone Analyst calculates descriptive statistics, performs the unsupervised fuzzy classification procedure for a range of cluster numbers, and provides the user with two performance indices [fuzziness performance index (FPI) and normalized classification entropy (NCE)] to aid in deciding how many clusters are most appropriate for creating management zones. Example MZA output is provided for two Missouri claypan soil fields using soil electrical conductivity, slope, and elevation as clustering variables. Management Zone Analyst performance indices indicated that one field should be divided into either two (using NCE) or four (using FPI) management zones and the other field should be divided into four (using NCE or FPI) management zones.

Overview

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Crossref · 10.2134/agronj2004.0001

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Metadata

Authors
Wilhelm, W. W., Johnson, J. M. F., Hatfield, J. L., Voorhees, W. B., & Linden, D. R.
Affiliations
Agricultural Research Service (US)
ORCID
Venue
Agronomy Journal
Publisher
Wiley
Published
2004
Volume
96
Issue
1
Pages
1
ISSN
  • 0002-1962 (ISSN-L)
  • 1435-0645
DOI
10.2134/agronj2004.0001
OpenAlex
W4246879570
Cited by
533
References
25
Citations by year
2025: 2 · 2024: 1 · 2023: 1 · 2022: 3 · 2021: 19 · 2020: 40 · 2019: 21 · 2018: 36 · 2017: 24 · 2016: 28 · 2015: 49 · 2014: 43 · 2013: 40 · 2012: 36
FWCI
33.43
Type
journal article
Language
en
Open access
closed
Locations
Agronomy Journal (publishedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Management and Crop Yield
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Geostatistics and Mapping
  • Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Crop Yield and Soil Fertility
Keywords
crop productivity, soil productivity, site-specific crop management, management zones, fuzzy c-means clustering, number of clusters, soil electrical conductivity, claypan soils, field delineation

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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