bg | en 
Bulgarian Journal of Crop Science   ISSN 0568-465X
Array ( [session_started] => 1719283907 [LANGUAGE] => EN [LEPTON_SESSION] => 1 )


Forgot Details? Sign-up

Optimization of maize yield by fuzzy regression. II
Alexander N. Sadovski
Abstract: The purpose of the present study is to determine the influence of the main nutrients nitrogen, phosphorus, potassium, and silicon with the help of the theory of fuzzy sets in the conditions of a vegetation (pot) experiment with maize on soil from experimental fields Bozhurishte (Pellic Vertisol) and Tslapitsa (Eutric Fluvisol). The design of multifactorial experiments allows the assessment of actions and interactions of four factors, varying on five levels. The use of fuzzy regression techniques is appropriate in pot experiments when the results obtained are influenced by multiple random factors during the growing season. Statistical analysis of data establishes trends in maize nutrition.
Keywords: fuzzy regression; maize; pot experiment; yield
Date published: 2023-04-26
Download full text