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Volumn 85, Issue 3, 1995, Pages 1467-1472

Towards unravelling the complex interactions between microclimate, ozone dose, and ozone injury in clover

Author keywords

Artificial Neural Networks; Clover; Dose response; Interactions; Microclimate; Ozone poltution; Predictive Models

Indexed keywords

AIR POLLUTION; ATMOSPHERIC HUMIDITY; EFFECTS; NEURAL NETWORKS; SOLAR RADIATION; TEMPERATURE;

EID: 0029634885     PISSN: 00496979     EISSN: 15732932     Source Type: Journal    
DOI: 10.1007/BF00477188     Document Type: Article
Times cited : (16)

References (10)
  • 1
    • 84934488255 scopus 로고    scopus 로고
    • Balls, G. R., Palmer-Brown, D. and Sanders, G. E.: (In Press), a, “Artificial Neural Networks: A Novel Approach to Studying Microclimate-Ozone Interactions in Clover (Trifolium subterraneum L. cv. Geraldton).”, Submitted to New Phytologist.
  • 2
    • 84934488254 scopus 로고    scopus 로고
    • Dayhoff, J.E.: 1990, “Neural network architectures: An introduction.”, Van Nostrand Reinhold. 1–20.
  • 3
    • 84934488253 scopus 로고    scopus 로고
    • Fuhrer. 1994: “The critical level for ozone to protect agricultural crops — An assessment of data from European open-top chamber experiments.” Proceedings of the Critical Levels for Ozone Workshop, number 16, Bern Switzerland 1–4 November (1993), 42–57.
  • 10
    • 84934488256 scopus 로고    scopus 로고
    • UNECE.: 1993, “Manual on methodologies and criteria for mapping critical levels/loads and geographical areas where they are exceeded.”. Texte 25/93, Umweltbundesamt, Bismarckplatz 1, W-1000 Berlin 33, Germany.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.