Building a fuzzy logic information network and a decision-support system for olive cultivation in Andalusia [Spain]

Delgado, Gabriel; Aranda, V.; Calero, Julio; Sánchez‐Marañón, M.; Serrano, José María González; Sánchez, Daniel; Vila, M. A.

doi:10.5424/sjar/2008062-316

Cited by 19 publications

(6 citation statements)

References 29 publications

(22 reference statements)

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“…Here, apart from the FAO-56 equation parameters, we can consider pruning, water price and yield price as decision parameters. In reality, there is a wide range of factors that can be accommodated by the model and have been used by other authors, e.g., nutrient pollution [93], topography, soil degradation and tree density [94], remote sensing information [95,96], tree hydration status [97], tree trunk diameter [98] pests [99], and socioeconomic parameters [100]. Moreover, under current assumptions and implementation, the decision tree shows obvious routes.…”

Section: Limitationsmentioning

confidence: 99%

Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support

et al. 2020

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This paper explores methodologies for developing intelligent automated decision systems for complex processes that contain uncertainties, thus requiring computational intelligence. Irrigation decision support systems (IDSS) promise to increase water efficiency while sustaining crop yields. Here, we explored methodologies for developing intelligent IDSS that exploit statistical, measured, and simulated data. A simple and a fuzzy multicriteria approach as well as a Decision Tree based system were analyzed. The methodologies were applied in a sample of olive tree farms of Heraklion in the island of Crete, Greece, where water resources are scarce and crop management is generally empirical. The objective is to support decision for optimal financial profit through high yield while conserving water resources through optimal irrigation schemes under various (or uncertain) intrinsic and extrinsic conditions. Crop irrigation requirements are modelled using the FAO-56 equation. The results demonstrate that the decision support based on probabilistic and fuzzy approaches point to strategies with low amounts and careful distributed water irrigation strategies. The decision tree shows that decision can be optimized by examining coexisting factors. We conclude that irrigation-based decisions can be highly assisted by methods such as decision trees given the right choice of attributes while keeping focus on the financial balance between cost and revenue.

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Section: Limitationsmentioning

confidence: 99%

Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support

et al. 2020

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“…In this regard, different research projects have been conducted worldwide focused on including fuzziness in databases (Bosc and Pivert, 1995a;Kacpryzyk and Zadrozny, 1995;Goncalves and Tineo, 2008;Galindo, 2008;Yager, 2010;Ma and Ya, 2010;Pivert and Bosc, 2012). Nevertheless, there are few known developed applications that enjoy the benefits of fuzzy databases (Galindo et al, 2006;Goncalves and Tineo, 2008;Fernandez et al, 2008;Delgado et al, 2008).…”

Section: Fuzziness In Databasesmentioning

confidence: 99%

Fuzzy Querying based Tool for Building Courses Evaluation Tests

Borjas¹,

Ramírez²,

Rodríguez³

et al. 2012

Proceedings of the 4th International Joint Conference on Computational Intelligence

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In this paper, we present a tool intended for helping in exam configuration based on the reutilization of questions according to user preferences. It is a real life application of fuzzy querying that fulfils an actual need of academic personal at a high studies institution of Venezuela. This application uses the fuzzy querying language SQLf, on top of an existing relational DBMS by means a logic layer named SQLfi. Final users of our application are professors of any area without knowledge of fuzzy sets and databases. We use criteria for the test preparation that support fuzzy terms. These terms can be adjusted to user preferences. Graphic user interfaces are provided in order to perform such adjusts as well as exam configuration and any other fuzzy querying operation. We present here the Database Design, the process test construction and the management of preferences.

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“…Hybrid multilogistic regression was used in Gutierrez et al (2009) to discriminate cover crops in olive orchards. In Delgado et al (2008), the authors describe the first stages of an information and fuzzy decision‐support system for providing different types of users, like farmers, agricultural engineers, etc. with information for olive crop management.…”

Section: Introductionmentioning

confidence: 99%

Measuring, archetyping and mining Olea europaea production data

Theodosiou

Valsamidis

Hatziliadis

et al. 2012

Journal of Systems and Information Technology

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PurposeA huge amount of data are produced in the agriculture sector. Due to the huge number of these datasets it is necessary to use data analysis techniques in order to comprehend the data and extract useful information. The purpose of this paper is to measure, archetype and mine olea europaea production data.Design/methodology/approachThis work applies three different data mining techniques to data about Olea europaea var. media oblonga from the island of Thassos, at the northern part of Greece. The data were from 1,063 farmers from three different municipalities of Thassos, namely Kallirachi, Limenaria and Prinos and concerned the year 2010. They were analysed using the classification algorithm OneR, the clustering algorithm k‐means and the association rule mining algorithm, Apriori from the WEKA data mining package. Also, new measures which quantify the performance of the productions of olives and oil are applied. Finally, archetypal analysis is applied in order to distinguish the most typical/stereotype farms for each region and describe their specific characteristics.FindingsThe results indicate that organic cultivation could improve the production of olives and olive oil. Furthermore, the climate differences among the three municipalities seems to be a factor involved in production efficacy.Originality/valueIt is the first time that data from the island of Thassos have been analysed systematically using a variety of data mining methods. Also, the measures proposed in the paper in order to analyse the data are new. Furthermore, archetypal analysis is proposed as a method to extract sterotypes/representative farms from the dataset.

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Building a fuzzy logic information network and a decision-support system for olive cultivation in Andalusia [Spain]

Cited by 19 publications

References 29 publications

Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support

Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support

Fuzzy Querying based Tool for Building Courses Evaluation Tests

Measuring, archetyping and mining Olea europaea production data

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