Artificial neural networks to estimate soil water retention from easily measurable data

Soil Science Society of America Journal

Volumn 60, Issue 3, 1996, Pages 727-733

  Pachepsky, Ya A ^a   Timlin, Dennis ^b   Varallyay, G ^c  

^a DUKE UNIVERSITY   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c Research Institute for Soil Science and Agricultural Chemistry Hungarian Academy of Sciences   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; SOIL HYDRAULIC CONDUCTIVITY; SOIL SURVEY; SOIL WATER RETENTION;

EID: 0030473352     PISSN: 03615995     EISSN: None     Source Type: Journal    
DOI: 10.2136/sssaj1996.03615995006000030007x     Document Type: Article

References (17)

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