Crop yield forecasting is critical for enhancing food security and ensuring an appropriate supply. It to complete this activity with high precision at the regional national levels facilitate speedy decision-making. Tea a big cash crop that contributes significantly economic development, market of USD 200 billion in 2020 expected reach over 318 by 2025. As developing country, Bangladesh can be g...

Spatiotemporal wind field information is of great interest in industry e.g. for resource assessment and turbine/farm monitoring & control. However, its measurement not feasible because only sparse point measurements are available with the current sensor technology such as LIDAR. This work fills gap by developing a method that can achieve spatiotemporal predictions combining LIDAR flow physics. ...

BACKGROUND Cohort studies of the relationship between air pollution exposure and chronic health effects require predictions of exposure over long periods of time. OBJECTIVES We developed a unified modeling approach for predicting fine particulate matter, nitrogen dioxide, oxides of nitrogen, and black carbon (as measured by light absorption coefficient) in six U.S. metropolitan regions from 1...

We propose a nonlinear filtering framework for approaching the problems of channel state tracking and spatiotemporal channel gain prediction in mobile wireless sensor networks, in a Bayesian setting. We assume that the wireless channel constitutes an observable (by the sensors/network nodes), spatiotemporal, conditionally Gaussian stochastic process, which is statistically dependent on a set of...

Spatiotemporal correlations of the two-dimensional spring-block (Burridge-Knopoff) model of earthquakes are extensively studied by means of numerical computer simulations. The model is found to exhibit either a " subcritical " , " supercritical " or " near-critical " behavior, depending on the values of the model parameters. Transition between the " subcritical " and " su-percritical " regimes ...