Towards an Intelligent System for the Territorial Planning: Agricultural Case

Towards an Intelligent System for the Territorial Planning: Agricultural Case

AMRI Benaouda (University of Salamanca, Spain) and Francisco José García-Peñalvo (University of Salamanca, Spain)
Copyright: © 2018 |Pages: 21
DOI: 10.4018/978-1-5225-4944-4.ch010


This chapter concerns the conceptualization of an intelligent system for the territorial planning, taking as an example the agriculture case as a tool in decision making. It is started by giving a comparison between the geographical information system (GIS) and the intelligent system (IS), demonstrating the limits of the GIS and the appeal to the artificial intelligence. Also, the chapter gives an overview of the application of decision support systems (DSSs), modeling and simulation applied in forest management, agriculture, ecology, and environment. Finally, the chapter proposes the methodology and the intelligent system proposed, setting up some indicators which help to aid decision making.
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2. Tools Of Decision In The Territorial Planning

Until now, they have used the Geographical Information System (GIS) all over the world in the field of the territorial planning.

This is an impractical system with many defaults and deficiencies.

The GIS is well suited to differentiate and diversify the scale of the complex patterns of interactions in space, while the need of effectiveness of decision-making process requires the use of other systems for decision support.

The ability of GIS to store, process and analyze special data (either attribute geographic data) is clear. You can use the ability in real time to support the decision -making process, which are primarily systems data processing and, therefore, it is not well suited for addressing complex situations.

Creating scenarios, spatial analysis, and advanced modeling requires what is called procedural knowledge, while the so – called declarative knowledge is essential to represent the know-know, which incorporates methods and techniques of AI.

Other Limitations of the GIS:

  • Policies incompatibilities

  • Unresolved problem, issue certificates on the land already registered by the state cause serious conflicts.

  • Very informative, firmly entrenched maps, with few references points.

  • Limited – semiotics.

  • More anthropological – Reading: Representation.

  • Deficiencies.

The causes of the shortcomings of GIS for decision making can be classified into two classes:

  • 1.

    General conceptual or methodological problems derived from the basic organization of GIS.

  • 2.

    Technical problems related to the usual way of using these tools.

    • a.

      Conceptual Problems:

      • i.

        Initial design of GIS: Generalist and little specialization approach.

      • ii.

        Fundamental concern: more “external” formal and geometric aspects of geographical problems.

      • iii.

        No causal generators visible structures and “geometric” processes of geographical problems.

    • b.

      Technical problems:

      • i.

        “Hard” data (measured in precise terms, if possible quantitative: surveys, remote sensing, etc.).

      • ii.

        Others considered “soft” date (derived from the opinions, preferences and judgments of people and are expressed in vaguer and qualitative terms).

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