Decision Support System for Fitting and Mapping Nonlinear Functions with Application to Insect Pest Management in the Biological Control Context Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.3390/a13040104
The process of moving from experimental data to modeling and characterizing the dynamics and interactions in natural processes is a challenging task. This paper proposes an interactive platform for fitting data derived from experiments to mathematical expressions and carrying out spatial visualization. The platform is designed using a component-based software architectural approach, implemented in R and the Java programming languages. It uses experimental data as input for model fitting, then applies the obtained model at the landscape level via a spatial temperature grid data to yield regional and continental maps. Different modules and functionalities of the tool are presented with a case study, in which the tool is used to establish a temperature-dependent virulence model and map the potential zone of efficacy of a fungal-based biopesticide. The decision support system (DSS) was developed in generic form, and it can be used by anyone interested in fitting mathematical equations to experimental data collected following the described protocol and, depending on the type of investigation, it offers the possibility of projecting the model at the landscape level.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/a13040104
- https://www.mdpi.com/1999-4893/13/4/104/pdf?version=1587907038
- OA Status
- gold
- Cited By
- 28
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3020805034
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3020805034Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/a13040104Digital Object Identifier
- Title
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Decision Support System for Fitting and Mapping Nonlinear Functions with Application to Insect Pest Management in the Biological Control ContextWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-04-24Full publication date if available
- Authors
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Ritter A. Guimapi, Samira A. Mohamed, Lisa Biber‐Freudenberger, Waweru Mwangi, Sunday Ekesi, Christian Borgemeister, Henri E. Z. TonnangList of authors in order
- Landing page
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https://doi.org/10.3390/a13040104Publisher landing page
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https://www.mdpi.com/1999-4893/13/4/104/pdf?version=1587907038Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1999-4893/13/4/104/pdf?version=1587907038Direct OA link when available
- Concepts
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Computer science, Context (archaeology), Grid, Visualization, Software, Java, Process (computing), Nonlinear system, Data mining, Machine learning, Mathematics, Programming language, Biology, Quantum mechanics, Geometry, Paleontology, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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28Total citation count in OpenAlex
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2025: 2, 2024: 20, 2023: 3, 2022: 1, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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40Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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