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Fuzzy Sets in Agriculture

  • Elpiniki I. PapageorgiouEmail author
  • Konstantinos Kokkinos
  • Zoumpoulia Dikopoulou
Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 341)

Abstract

Agricultural modeling and management are complex conceptual processes, where a large number of variables are taken into consideration and interact for system analysis and decision making. Most of the processes in the agricultural sector include the uncertainty, ambiguity, incomplete information and human intuition characteristics. These processes are not only constrained by their environment (e.g., market, climate, seasons, consumer choices), but they are also highly influenced by human factors (stakeholders’ perceptions). Fuzzy sets are able to manage and represent uncertainty, assure that the incomplete information is valued and provide solutions to issues which are crucial in agriculture like fertilization, land degradation, soil erosion and climate variability during planting material selection in physiological analysis. Fuzzy sets have gained constantly increasing research interest in the last twenty years and have found great applicability in the agricultural domain, helping farmers to take right decisions for their cultivated.

Keywords

Agriculture Fuzzy sets Irrigation Fuzzy cognitive maps Crop simulation 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Elpiniki I. Papageorgiou
    • 1
    • 3
    Email author
  • Konstantinos Kokkinos
    • 2
  • Zoumpoulia Dikopoulou
    • 3
  1. 1.Department of Computer EngineeringTechnological Educational Institute (TEI) of Central GreeceLamiaGreece
  2. 2.Centre for Research and Technology HellasThessalonikiGreece
  3. 3.Faculty of Business EconomicsHasselt UniversityDiepenbeekBelgium

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