Soft computing-based decision support tools for spatial data

Guillaume, Serge; Charnomordic, Brigitte; Tisseyre, Bruno; Taylor, James A.

doi:10.1080/18756891.2013.818185

Cited by 5 publications

(5 citation statements)

References 19 publications

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“…It is an open-source program that proposes a simple and easy to use interface to build decision support systems (DSS) from spatial data [30]. While its development has been inspired by agri-environmental applications, the framework itself is open and accessible to applications in other domains.…”

Section: Aim Of the Geofis Projectmentioning

confidence: 99%

“…CGAL was chosen for its ability to provide very efficient and reliable geometric algorithms, as its functions are developed in C++. Finally, the incorporation of expert knowledge is made possible with FisPro (https://www.fispro.org), a system that uses fuzzy sets for conceptual modeling [30]. Figure 1.…”

Section: Architecture and Design Of Geofismentioning

confidence: 99%

“…The segmentation Figure 1. The GeoFIS architecture [30]. CGAL, Computational Geometry Algorithms Library; DSS, Decision Support Systems; GIS, Geographic Information System; 1D, One dimension.…”

Section: Functionalities Implemented In Geofismentioning

confidence: 99%

“…An open source platform that takes raw data through to a decision point is not available to the precision agriculture community yet. The aim of the paper is to present the GeoFIS software (https://www.geofis.org/) that was developed by a joined team from IRSTEA, INRA and Montpellier SupAgro in France [30]. The goal of this platform is to provide users with up-to-date and reliable algorithms to process their precision agriculture data and incorporate expert knowledge from the fields.…”

Section: Introductionmentioning

confidence: 99%

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GeoFIS: An Open Source, Decision-Support Tool for Precision Agriculture Data

et al. 2018

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Abstract:The world we live in is an increasingly spatial and temporal data-rich environment, and agriculture is no exception. However, data needs to be processed in order to first get information and then make informed management decisions. The concepts of 'Precision Agriculture' and 'Smart Agriculture' are and will be fully effective when methods and tools are available to practitioners to support this transformation. An open-source software called GeoFIS has been designed with this objective. It was designed to cover the whole process from spatial data to spatial information and decision support. The purpose of this paper is to evaluate the abilities of GeoFIS along with its embedded algorithms to address the main features required by farmers, advisors, or spatial analysts when dealing with precision agriculture data. Three case studies are investigated in the paper: (i) mapping of the spatial variability in the data; (ii) evaluation and cross-comparison of the opportunity for site-specific management in multiple fields; and (iii) delineation of within-field zones for variable-rate applications when these latter are considered opportune. These case studies were applied to three contrasting crop types, banana, wheat and vineyards. These were chosen to highlight the diversity of applications and data characteristics that might be handled with GeoFIS. For each case-study, up-to-date algorithms arising from research studies and implemented in GeoFIS were used to process these precision agriculture data. Areas for future development and possible relations with existing geographic information systems (GIS) software is also discussed.

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Section: Aim Of the Geofis Projectmentioning

confidence: 99%

Section: Architecture and Design Of Geofismentioning

confidence: 99%

Section: Functionalities Implemented In Geofismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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GeoFIS: An Open Source, Decision-Support Tool for Precision Agriculture Data

et al. 2018

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“…Some decision support toolboxes have also been integrated with geographic information systems (GIS). Among them are the following: ArcGIS is a toolbox for handling spatial analysis and it was extended by Eldrandaly and Abdelaziz in order to handle multi-criteria decision analysis [79]; Ge-oFIS DSS [80] is an open source suite aimed at providing GIS with new functionalities such as fuzzy modelling and reasoning with georeferenced data in Agronomy (notice that the use of GIS in agriculture is becoming very popular); etc. Moreover, some researchers have proposed specific Matlab toolboxes for decision-making tasks.…”

Section: B Fuzzy Systems Software For Solving Specific Problems Of Dmentioning

confidence: 99%

A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects

Alcalá‐Fdez

Alonso

2016

IEEE Trans. Fuzzy Syst.

106

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Fuzzy systems have been used widely thanks to their ability to successfully solve a wide range of problems in different application fields. However, their replication and application requires a high level of knowledge and experience. Furthermore, few researchers publish the software and/or source code associated with their proposals, which is a major obstacle to scientific progress in other disciplines and in industry. In recent years, most fuzzy system software has been developed in order to facilitate the use of fuzzy systems. Some software is commercially distributed but most software is available as free and open source software, reducing such obstacles and providing many advantages: quicker detection of errors, innovative applications, faster adoption of fuzzy systems, etc. In this paper, we present an overview of freely available and open source fuzzy systems software in order to provide a well-established framework that helps researchers to find existing proposals easily and to develop well founded future work. To accomplish this, we propose a twolevel taxonomy and we describe the main contributions related to each field. Moreover, we provide a snapshot of the status of the publications in this field according to the ISI Web of Knowledge. Finally, some considerations regarding recent trends and potential research directions are presented.

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