Sentence examples for monitoring and estimation from inspiring English sources

Frequent monitoring and estimation of the areas under drought danger is important for agriculture, hydrology, weather, natural hazards and crop yield prediction.

In the paper at hand the possibilities and shortcomings of such an approach are examined from a sensor monitoring and estimation perspective.

The knowledge about independency of truck type distribution with various seasons is likely to help in effective traffic monitoring and estimation of the highway planning and design parameters like AADTT, ADTT, and design hour truck volume.

Monitoring and estimation of diffuse pollution from the rainfall runoff is difficult in urbanized catchments with mixed land use pattern, since they are heterogeneous in nature and have anthropological interference.

A better understanding of immune markers induced by candidate malaria vaccines would greatly enhance vaccine development, immunogenicity monitoring and estimation of vaccine efficacy in the field.

Accurate monitoring and estimation of influenza activity require understanding not only influenza dynamics, but also population characteristics and their changes.

The reason for keeping them was two-fold: first, the accident reductions observed were significant and in line with the common expectations from the treatments considered; second, they may be useful for sensitivity analysis of the results, across various accident types, and for future monitoring and estimations of the effects of similar treatments, as recommended by OECD [20].

Monitoring bycatch and estimation of abundance continue to be essential.

The real time monitoring and performance estimation systems for surface quality need to be developed.

The growth monitoring and yield estimation require identifying the tomatoes in the images and performing quantitative measurements based on calibrated acquisitions.

Project management tasks, such as productivity monitoring and cost estimation, require data to be fused from multiple data sources, which are typically spatial and temporal in nature.