Environmental impact assessment of tomato and cucumber cultivation in greenhouses using life cycle assessment and adaptive neuro-fuzzy inference system

Journal of Cleaner Production

Volumn 73, Issue , 2014, Pages 183-192

  Khoshnevisan, Benyamin ^a   Rafiee, Shahin ^a   Omid, Mahmoud ^a   Mousazadeh, Hossein ^a   Clark, Sean ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b BEREA COLLEGE   (United States)

Author keywords

Artificial intelligence; Cucumber; Greenhouse production; Life cycle assessment; Tomato

Indexed keywords

ARTIFICIAL INTELLIGENCE; ENVIRONMENTAL IMPACT; ENVIRONMENTAL IMPACT ASSESSMENTS; EUTROPHICATION; FRUITS; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; GLOBAL WARMING; GREENHOUSES; OZONE LAYER;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; CUCUMBER; EUTROPHICATION POTENTIALS; GREENHOUSE PRODUCTION; HUMAN TOXICITY POTENTIALS; LIFE CYCLE ASSESSMENT (LCA); OZONE DEPLETION POTENTIAL; TOMATO;

LIFE CYCLE;

CUCUMIS SATIVUS; LYCOPERSICON ESCULENTUM;

EID: 84975841211     PISSN: 09596526     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclepro.2013.09.057     Document Type: Article

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