CAP_USO: an expert system to determine land use capability

Authors

  • Monica Luri Giboshi UNIPINHAL
  • Luiz Henrique Antunes Rodrigues UNICAMP
  • Francisco Lombardi Neto IAC

DOI:

https://doi.org/10.4025/actascitechnol.v21i0.3090

Keywords:

sistemas especialistas, capacidade de uso, planejamento de uso da terra

Abstract

The objective of this paper was to develop an expert system (CAP_USO) to determine the land use capability in order to aid and speed up the decision-making process in land use planning. The system was developed by using CLIPS (C Language Integrated Production System), an expert system designed by NASA (National Aeronautics and Space Administration). The slope and twelve other factors that limit the land use were considered in order to determine the land capability. The validation of the system showed that the CAP_USO was rigorous to determine the land capability because it considers the slope and takes into account other factors that present major restrictions to the land use. The technique for expert systems showed to be efficient to determine land capability, which facilitates the manipulation and the processing of the necessary information.

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Author Biography

Monica Luri Giboshi, UNIPINHAL

Possui graduação em Engenharia Agrí­cola pela Universidade Estadual de Campinas (1984), mestrado em Engenharia Agrí­cola pela Universidade Estadual de Campinas (1999) e doutorado em Engenharia Agrí­cola pela Universidade Estadual de Campinas (2005). Atualmente é professora titular do Centro Regional Universitário de Espí­rito Santo do Pinhal - UNIPINHAL. Tem experiência na área de Informática, atuando principalmente nos seguintes temas: sistemas de suporte í  decisão, sistemas inteligentes na agricultura, sistemas de informações geográficas, planejamento e uso da terra e conservação de solo e água Currí­culo Lattes

Published

2008-05-14

How to Cite

Giboshi, M. L., Rodrigues, L. H. A., & Lombardi Neto, F. (2008). CAP_USO: an expert system to determine land use capability. Acta Scientiarum. Technology, 21, 909–914. https://doi.org/10.4025/actascitechnol.v21i0.3090

Issue

Section

Geography

 

0.8
2019CiteScore
 
 
36th percentile
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0.8
2019CiteScore
 
 
36th percentile
Powered by  Scopus