Proposal of a fuzzy logic controller for the improvement of irrigation scheduling decision-making in greenhouse horticulture

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13 Scopus citations

Abstract

A fuzzy logic controller is proposed for the evaluation of water drainage in order to determine if water content is easily available to crops; the lexical uncertainty given by "easily available" was quantified into a numerical value in this first approach. The result is a preliminary controller that embeds structural human knowledge about irrigation scheduling into an analytic fuzzy logic model (FLM), in order to provide agricultural scientists with quick access to a particular crop's main production and growth related variables, and allowing for future data driven decisions on the spot. The controller was validated with real data collected from a particular crop, using remote sensors connected to Internet.

Original languageEnglish
Title of host publication2017 1st Conference on IEEE PhD Research in Microelectronics and Electronics Latin America, PRIME-LA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509039630
DOIs
StatePublished - 13 Apr 2017
Event1st Conference on IEEE PhD Research in Microelectronics and Electronics Latin America, PRIME-LA 2017 - Bariloche, Argentina
Duration: 20 Feb 201723 Feb 2017

Publication series

Name2017 1st Conference on IEEE PhD Research in Microelectronics and Electronics Latin America, PRIME-LA 2017

Conference

Conference1st Conference on IEEE PhD Research in Microelectronics and Electronics Latin America, PRIME-LA 2017
Country/TerritoryArgentina
CityBariloche
Period20/02/1723/02/17

Keywords

  • agriculture in protected environments
  • Decision-making system
  • fuzzy logic model
  • greenhouse horticulture
  • irrigation scheduling

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