Open AccessPRODUCTION POTENTIAL PREDICTION FOR WHEAT, BARLEY AND MAIZE BASED ON SOIL CHARACTERISTICS USING ARTIFICIAL NEURAL NETWORKS IN VARAMIN REGION, IRAN
Author(s) -
Nafiseh Yaghmaeian Mahabadi
Publication year - 2017
Publication title -
applied ecology and environmental research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.234
H-Index - 32
eISSN - 1785-0037
pISSN - 1589-1623
DOI - 10.15666/aeer/1504_077090
Subject(s) - artificial neural network , agronomy , production (economics) , environmental science , agricultural engineering , artificial intelligence , engineering , computer science , biology , economics , macroeconomics
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