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Authors: Shamim Akhter and Kento Aida

Affiliation: National Institute of Informatics (NII) and Tokyo Institute of Technology (TITECH), Japan

ISBN: 978-989-8425-22-5

Keyword(s): Agriculture, Remote Sensing (RS), High Performance Computing (HPC), Web Portal.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Complex Systems Modeling and Simulation ; Data Engineering ; Distributed and Mobile Software Systems ; Distributed Architectures ; Enterprise Information Systems ; Grid, Peer-To-Peer, and Cluster Computing ; Health Information Systems ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Simulation and Modeling ; Software Agents and Internet Computing ; Software Engineering ; Symbolic Systems ; Web-Based Computing

Abstract: Agricultural activity monitoring, enclosed quantifying the irrigation scheduling, tracing the soil hydraulic properties, generating the crop calendar etc., is very important for ensuring food security. Farmers want to know these information in a regular basis. Additionally, large scale agricultural activity monitoring requires to congregate information from Remote Sensing (RS) images and that type of processing takes a huge amount of computational time. Thus, optimization on the computational time is a vital requirement. In such cases, High Performance Computing (HPC) can help to reduce the processing time by increasing the computational resources. Moreover, web based technology can contribute an understandable, efficient and effective monitoring system. Still, the merging domain researches on RS image processing, agriculture and HPC are mainly in hypothetical or conjectural theme rather than practical implementation. Thus, this research contributes a new software system to support ag riculture activities in real time using both RS and HPC. The main purpose of the system is to serve the valuable crop parameters information to the farmers through a web base system in real time. Additionally, we are going to discuss in details about the implementation issues of the proposed software system. (More)

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Paper citation in several formats:
Akhter S.; Aida K. and (2010). A SOFTWARE FRAMEWORK TO SUPPORT AGRICULTURE ACTIVITIES USING REMOTE SENSING AND HIGH PERFORMANCE COMPUTING.In Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT, ISBN 978-989-8425-22-5, pages 210-213. DOI: 10.5220/0003034702100213

@conference{icsoft10,
author={Shamim Akhter and Kento Aida},
title={A SOFTWARE FRAMEWORK TO SUPPORT AGRICULTURE ACTIVITIES USING REMOTE SENSING AND HIGH PERFORMANCE COMPUTING},
booktitle={Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT,},
year={2010},
pages={210-213},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003034702100213},
isbn={978-989-8425-22-5},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT,
TI - A SOFTWARE FRAMEWORK TO SUPPORT AGRICULTURE ACTIVITIES USING REMOTE SENSING AND HIGH PERFORMANCE COMPUTING
SN - 978-989-8425-22-5
AU - Akhter, S.
AU - Aida, K.
PY - 2010
SP - 210
EP - 213
DO - 10.5220/0003034702100213

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