
Groumpos P. Peter et al. / IFAC-PapersOnLine 48-24 (2015) 015–020 16th IFAC Conference on Technology, Culture and International 16thStability IFAC Conference on Technology, Culture and International 16th IFAC Conference on Technology,Available Culture and online International at www.sciencedirect.com StabilitySeptember 24-27, 2015. Sozopol, Bulgaria Stability September 24-27, 2015. Sozopol, Bulgaria September 24-27, 2015. Sozopol, Bulgaria ScienceDirect IFAC-PapersOnLine 48-24 (2015) 015–020 A New Mathematical Modelling Approach for Viticulture and Winemaking Using A New Mathematical ModellingFuzzy Approach Cognitive for MapsViticulture and Winemaking Using Fuzzy Cognitive Maps Groumpos P. Peter*. Anninou P. Antigoni* GroumposGroumpos P. Peter*. P. Anninou Vasileios.** P. Antigoni* Groumpos P. Vasileios.** * Laboratory of Automation and Robotics, Department of Electrical and Computer Engineering, University of Patras, 26500 * Laboratory of AutomationRio ,and Greece Robotics, (e-mail:, Department [email protected] of Electrical and Computer, [email protected] Engineering, University) of Patras, 26500 Rio**, Greece Master, (eStudent,-mail: [email protected] University of, [email protected], Athens, Greece ) ** Master Student, Agricultural University of Athens, Athens, Greece Abstract: The aim of this paper is to present a new approach in modelling wine quality and quantity usingAbstract: Fuzzy The Cognitive aim of this Maps paper trained is to prbyesent non a linearnew approachHebbian inlearning model lingalgorithm wine quality. The methodologyand quantity usingdescribed Fuzzy extracts Cognitive the knowledge Maps trained from theby expertsnon linear and exploitsHebbian their learning experience algorithm on wine. The production. methodology Two describedcase studies extracts with datathe knowledge from real vineyardsfrom the experts were examined and exploits. The their results experience of this studyon wine show production. that software Two casetools studiesusing Fuzzywith data Cognitive from real Maps vineyards could bewer explorede examined further. The and results problems of this that study arise show during that thesoftware wine toolsproduction using couldFuzzy be Cognitive prevented Maps by an couldefficient be decisioexploredn support further systemand problems. that arise during the wine production could be prevented by an efficient decision support system. Keywordsproduction© 2015, IFAC: couldwine (International quality, be prevented wine Federation quantity,by an efficient of Fuzzy Automatic decisio Cognitive Control)n support Maps, Hosting system viticulture, by. Elsevier winemaking Ltd. All .rights reserved. Keywords: wine quality, wine quantity, Fuzzy Cognitive Maps, viticulture, winemaking. Keywords: wine quality, wine quantity, Fuzzy Cognitive Maps, viticulture, winemaking. sector with special care and attention. Such is the case of 1. INTRODUCTION vsectoriticulture with and special wine making.care and attention. Such is the case of 1. INTRODUCTION sector with special care and attention. Such is the case of Over the past ten or1. so INTRODUCTION years terms like, green, biodynamic, viticulture and wine making. Nowadaysviticulture andwine wine is increasingly making. enjoyed by a wider range of Overand biologiquethe past ten orhave so yearsbecome terms increasingly like, green, biodynamic,popular to Nowadaysconsumers. wineWine is increasinglyquality is attributed enjoyed byto a manywider differentrange of andcharacterize biologique vineyards have andbecome wineries increasingly from Californiapopular to consumers.factors of the Wine wine quality working is collectivelyattributed toto manybear a differentsensory characterizeBordeaux, from vineyards New Zealand and wineries to Tuscany from and California from South to factorsexperience of thethat wine is workingnot apparent collectively from consideringto bear a sensory these Bordeaux,Africa to Greecefrom New as growersZealand andto Tuscanywinemakers and havefrom begunSouth experiencecomponents thatin isolation. is not Theapparent various from chemical considering components these in Africapaying increasingto Greece attentionas growers to theand impact winemakers of their practiceshave begun on componentswine give the in wine isolation. its distinct The various taste and chemical aroma. components Appreciation in payingthe environment. increasing Inattention addition to thein Californiaimpact of theirsince practices the late onof wineof wine give thequality wine itsinvolves distinct movingtaste and beyondaroma. Appreciationour innate the2005, environment. the term, sustainable In addition agriculture, in California has begunsince theto emerge. late of ofpreferences, wine quality (Orth, 2011),involves (Schamel, moving 2000) beyond. our innate 2005,Today theI dare term, to sustainablechallenge theagriculture, scientific has community begun to withemerge. the preferences, (Orth, 2011), (Schamel, 2000). Todayterm sustainable I dare to Viticulture.challenge the scientific community with the Certification prevents the illegal adulteration of wines (to term sustainable Viticulture. safeguardCertification human prevents health) the andillegal assures adult qualityeration forof winesthe wine (to Environmentalterm sustainable practices Viticulture. have been particularly important all Certification prevents the illegal adulteration of wines (to safeguardmarket. Winehuman health)certification and assuresis oftenquality assessedfor the wineby Environmentalover the world andpractices particularly have beenin California. particularly Over important the past all50 market.physicochemical Wine certificationand sensory is tests.often Physicochemicalassessed by overyears the there world has and been particularly growing in tension California. between Over agriculturethe past 50 physicochemicallaboratory tests routinelyand sensoryused to characterisetests. Physicochemical wine include yearsindustrial there practices has been that growing are reluctant tension to between change agricultureand urban laboratorydetermination tests of routinelydensity, alcohol used to or characterise pH values, whilewine sensoryinclude industrialsprawl, which practices has takenthat areover reluctant much ofto whatchange was and formerly urban determinationtests rely mainly of donensity, human alcohol experts. or pHIt should values, be while stressed sensory that sprawl,prime farm which land. has Agricultural taken over practices much of such what as burninwas formerlyg, flood teststaste relyis the mainly least onunderstood human experts. of the humanIt should senses, be stressed thus wine that primeirrigation, farm pesticide land. Agricultural spraying, groundwater,practices such air as contamination,burning, flood tasteclassification is the least is aunderstood difficult task. of the Moreover, human senses, the relationships thus wine irrigation,and other social,pesticide economic, spraying, and groundwater, environmental air contamination,problems have classificationbetween the isphysicochemi a difficult task.cal Moreover,and sensory the analysisrelationships are andresulted other insocial, increased economic, government and environmental regulation, problems which havehas betweencomplex andthe stillphysicochemi not fully understood,cal and Orthsensory (2011). analysis are resultedbecome anin increasingincreased governmentburden on anregulation, already languishingwhich has complex and still not fully understood, Orth (2011). becomeagriculture an in increasingdustry. burden on an already languishing These difficulties could be dealt with the flourishing of new agriculture industry. theoriesThese difficulties and techniques could thatbe dealt synergy with discipline the flourishing fields provideof new Partlyagriculture in reaction industry. to increasing government regulation and These difficulties could be dealt with the flourishing of new theoriessuch as: and Fuzzy techniques Logic, that Neural synergy Networks, discipline Neutrosophfields provideic, Partlypartly indue reaction to an toincreased increasing awareness government of theregulation agriculture and suchGenetic as: FuzzyAlgorithms, Logic, ProbabilisticNeural Networks, Reasoning, Neutrosoph Softic, partlyindustry’s due social to an and increased environmental awareness responsibility, of the agriculture there has GeneticComputing Algorithms,Techniques, IntelligentProbabilistic Control Reasoning, (IC) and FuzzySoft industry’sbeen movement social andtoward environmental sustainable responsibility, agriculture practices.there has ComputingCognitive Maps Techniques, (FCM). Intelligent Control (IC) and Fuzzy beenSustainable movement agriculture toward issustainable characterized agriculture by a practices.systems Cognitive Maps (FCM). Sustainableperspective ofagr stewardshipiculture is ofcharacterized natural and humanby a resourcessystems In this paper a new mathematical modelling approach of andperspective comprises of threestewardship goals – ofenvironmental natural and humanhealth, economicresources perspective of stewardship of natural and human resources Inviticulture this paper and awinemaking new mathematical will be implementedmodelling approach in order ofto profitability,and comprises and three social goals and– environmental economic equity. health, Achievingeconomic and comprises three goals – environmental health, economic viticulturecheck the qualityand winemaking and quantity will ofbe theimplemented produced wine.in order Two to sustainableprofitability, agriculturaland social
Details
-
File Typepdf
-
Upload Time-
-
Content LanguagesEnglish
-
Upload UserAnonymous/Not logged-in
-
File Pages6 Page
-
File Size-