Utilization of Fuzzy Computing in Agrophysics

Autor:	Dmitry Kurtener, Viktor Yakushev
Rok vydání:	2014
Předmět:	Melioration theory Fuzzy computing Engineering business.industry Management science Existential quantification Probabilistic logic Agrophysics Precision agriculture Dimension (data warehouse) business Industrial engineering Fuzzy logic
Zdroj:	European Agrophysical Journal. 1:63
ISSN:	2296-763X 2296-7664
DOI:	10.17830/j.eaj.2014.01.063
Popis:	Traditionally decision of agrophysics problems was evaluated with problem-oriented models. Utilization of fuzzy computing gives new dimension for agrophsics. It is well known that in agricultural sciences there exists much fuzzy knowledge, that is, knowledge which is vague, imprecise, uncertain, ambiguous, inexact, or probabilistic in nature. Fuzzy Computing is power tools for dealing with randomness and uncertainties. This paper reviews exploitation of fuzzy computing in agrophysics. The emphasis is on the achievements of Agrophysical Research Institute, St. Petersburg, Russia, especially in the fields of soil tillage, crop management, precision agriculture, melioration, and agricultural engineering.
Databáze:	OpenAIRE
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