DocumentCode :
3312856
Title :
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
Link To Document :
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