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Resource monitoring is a key issue in ecosystem management especially for marine protected areas (MPAs), where information on the composition and structure of fish assemblages is crucial to design a sound management plan.
Resource monitoring is a complementary phase to achieve better performance optimization.
The project also aims to establish effective water resource monitoring and data collection as a basis for decision-making.
Crop mapping is one major component of agricultural resource monitoring using remote sensing.
Alsat-1B will be used for agricultural and resource monitoring, disaster management, land use mapping and urban planning.
Applied CPSs architecture in cloud computing can provide real-time and scalable resource monitoring and offer time-critical applications.
This paper presents the Detecting SLA Violation infrastructure (DeSVi) architecture, sensing SLA violations through sophisticated resource monitoring.
However, resource monitoring does not come for free as it typically leads to overhead in the observed program.
In this paper we present examples and provide auxiliary documentation of additional applications of the data from Earth resource monitoring.
In this paper, we propose the design and implementation of computing grid resource monitoring and prediction system.
Minimizing this overhead and increasing the reliability of the monitored data is a major goal in realizing resource monitoring tools.
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