European Agrophysical Institute

European Agrophysical Journal Editor,

We are submitting the attached manuscriptfor publication in European Agrophysical Journal.

Title: Land Suitability Evaluation

Authors: Rit Wayt, Ag Hiday Laboratory of Soil Science, Venice, Italy

Author for corresponding: Rit Wayt, Laboratory of Soil Science, Venice, Italy, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

It is not being submitted for publication elsewhere. Authors agree to transfer copyright of their articles to the Publisher.

If needed, consider the following as potential reviewers: a)  Rob Green Delft University of Technology, Delft, The Netherlands, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

b)Peter Golty International Food Policy Research Institute, Washington, D.C., USA, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Sincerely,

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European Agrophysical Journal (EAJ)

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European Agrophysical Journal; Vol. 1, No. 1; 2014 

Evaluation of Applications of HUMIN PLUS Using Fuzzy Inference System

M.V. Ostrovskij1, D.A. Kurtener2, S.V. Tsukanov3

¹ European Agrophysical Institute, Lugano, Switzerland

² Agrophysical Research Institute, St. Petersburg, Russia

³ The German-Ukrainian Center for Innovative Agri-industrial Technologies – FuTech, Kharkov, Ukraine

Correspondence: D.A. Kurtener, Agrophysical Research Institute, Grazhdansky pr. 14, 195220 St. Petersburg, Russia,  Tel: 7-812-534-1324. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.  Received: 1 January 2014 Accepted: 25 January 2014

Abstract. By using Adaptive Neuro-Fuzzy Inference System (ANFIS), several fuzzy inference system (FIS) were built to define the contiguous relations between characteristics of energy of germination of seeds, different concentrations of emulsion of sapropel, magnetic treatment of water, and time after sowing. Performance of the ANFIS model is compared in two data sets: (1) training sets, and (2) testing sets. The correlation between the observed and forecasted values shows that the ANFIS describes well the relationship between the input and output data.

Keywords: HUMIN PLUS, magnetic treatment, Adaptive Neuro-Fuzzy Inference System