An optimisation-based approach to generate interpretable within-field zones

An optimisation-based approach to generate interpretable within-field zones Precision Agric https://doi.org/10.1007/s11119-018-9584-3 An optimisation‑based approach to generate interpretable within‑field zones 1 1 2 2 Patrice Loisel  · Brigitte Charnomordic  · Hazaël Jones  · Bruno Tisseyre © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract The paper proposes a numerical criterion to evaluate zoning quality for a given number of classes. The originality of the criterion is to simultaneously quantify how zones are heterogeneous on the whole field under study and how neighbouring zones are simi - lar. This approach allows comparison between maps either with different zones or differ - ent labels, which is of importance for zone delineation algorithms aiming at maximizing inter-zone variability. In addition, this study also proposes an optimisation procedure that yields interpretable within-field zones in which each zone is assigned a clear label. The zoning procedure involves contour delineation based on quantile values. The key point of the paper is to use the proposed numerical zoning quality criterion to guide the optimi- sation procedure showing the complementarity of both proposals in delineating relevant within-field zones. In order to demonstrate the relevancy of the criterion, the zoning pro - cedure and the implementation of both together, the method was tested on 50 theoretical fields with known variability http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Precision Agriculture Springer Journals

An optimisation-based approach to generate interpretable within-field zones

Loading next page...
 
/lp/springer_journal/an-optimisation-based-approach-to-generate-interpretable-within-field-V7Ixq0dsqK
Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Life Sciences; Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences
ISSN
1385-2256
eISSN
1573-1618
D.O.I.
10.1007/s11119-018-9584-3
Publisher site
See Article on Publisher Site

Abstract

Precision Agric https://doi.org/10.1007/s11119-018-9584-3 An optimisation‑based approach to generate interpretable within‑field zones 1 1 2 2 Patrice Loisel  · Brigitte Charnomordic  · Hazaël Jones  · Bruno Tisseyre © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract The paper proposes a numerical criterion to evaluate zoning quality for a given number of classes. The originality of the criterion is to simultaneously quantify how zones are heterogeneous on the whole field under study and how neighbouring zones are simi - lar. This approach allows comparison between maps either with different zones or differ - ent labels, which is of importance for zone delineation algorithms aiming at maximizing inter-zone variability. In addition, this study also proposes an optimisation procedure that yields interpretable within-field zones in which each zone is assigned a clear label. The zoning procedure involves contour delineation based on quantile values. The key point of the paper is to use the proposed numerical zoning quality criterion to guide the optimi- sation procedure showing the complementarity of both proposals in delineating relevant within-field zones. In order to demonstrate the relevancy of the criterion, the zoning pro - cedure and the implementation of both together, the method was tested on 50 theoretical fields with known variability

Journal

Precision AgricultureSpringer Journals

Published: May 29, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off