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Cloud-Based Geo-Information Infrastructure to Support Agriculture Activity Monitoring

Cloud-Based Geo-Information Infrastructure to Support Agriculture Activity Monitoring

Shamim Akhter, Kento Aida
Copyright: © 2017 |Pages: 10
ISBN13: 9781522505396|ISBN10: 1522505393|EISBN13: 9781522505402
DOI: 10.4018/978-1-5225-0539-6.ch005
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MLA

Akhter, Shamim, and Kento Aida. "Cloud-Based Geo-Information Infrastructure to Support Agriculture Activity Monitoring." Information Technology Integration for Socio-Economic Development, edited by Titus Tossy, IGI Global, 2017, pp. 125-134. https://doi.org/10.4018/978-1-5225-0539-6.ch005

APA

Akhter, S. & Aida, K. (2017). Cloud-Based Geo-Information Infrastructure to Support Agriculture Activity Monitoring. In T. Tossy (Ed.), Information Technology Integration for Socio-Economic Development (pp. 125-134). IGI Global. https://doi.org/10.4018/978-1-5225-0539-6.ch005

Chicago

Akhter, Shamim, and Kento Aida. "Cloud-Based Geo-Information Infrastructure to Support Agriculture Activity Monitoring." In Information Technology Integration for Socio-Economic Development, edited by Titus Tossy, 125-134. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0539-6.ch005

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Abstract

Agriculture activity monitoring needs to deal with large amount of data originated from various organizations (weather station, agriculture repositories, field management, farm management, universities, etc.) and mass people. Therefore, a scalable environment with flexible information access, easy communication and real time collaboration from all types of computing devices, including mobile handheld devices as smart phones, PDAs and iPads, Geo-sensor devices, and etc. are essential. It is mandatory that the system must be accessible, scalable, and transparent from location, migration and resources. In addition, the framework should support modern information retrieval and management systems, unstructured information to structured information processing (IBM Info Stream, text analytic, pig & hive, etc.), task prioritization, task distribution (Hadoop), workflow and task scheduling system, processing power and data storage (Amazon S3 and Google BigTable). Thus, High Scalability Computing (HSC) or Cloud based system can be a prominent and convincing solution for this circumstance.

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