Reducing Risks in Agriculture

Author

Nitu, Costica ; Dumitrascu, Alexandru ; Krapivin, Vladimir F. ; Mkrtchyan, Ferdenant A.

Author_Institution

Dept. of Autom. Control & Syst. Eng., Univ. Politeh. of Bucharest, Bucharest, Romania

fYear

2015

fDate

27-29 May 2015

Firstpage

941

Lastpage

945

Abstract

Agricultural risks are discussed because of the disasters related to the water regime disturbance. Different tools are considered in framework of the remote-sensing and in-situ monitoring. Global Information-Modeling System (GIMS) is proposed as effective information technology for monitoring data analysis and processing. The GIMS basis is given. Two versions of optical systems are considered for the water quality diagnostics. Algorithm is proposed to the optical spectral images recognition. Examples of simulation experiments with the GIMS-based tools are given.

Keywords

agriculture; data analysis; disasters; image recognition; information systems; information technology; remote sensing; risk analysis; GIMS; agricultural risks; disasters; global information-modeling system; in-situ monitoring; information technology; monitoring data analysis; optical spectral images recognition; remote-sensing; risk reduction; water regime disturbance; Microwave measurement; Microwave radiometry; Radar; Remote sensing; Soil moisture; Vegetation mapping; agriculture; microwave monitoring; recognition; spectral image; spectroellipsometer; water quality;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Systems and Computer Science (CSCS), 2015 20th International Conference on

Conference_Location

Bucharest

Print_ISBN

978-1-4799-1779-2

Type

conf

DOI

10.1109/CSCS.2015.87

Filename

7168538