Data assimilation is a robust method to predict crop biophysical and biochemical parameters.However, no previous study has attempted to predict grain protein content (GPC) at a regional scale using this method.This study explored the feasibility of designing an assimilation model for wheat candle GPC estimation using remote sensing, a crop growth m
Abstract Object Detection (OD) from drone images is a long-standing challenge due to multi-scale objects in the images.Several sophisticated and robust OD models have been proposed in the last few decades.This has significantly improved the performance of the OD task.However, these models remain highly opaque.It is challenging for humans to compreh
In this paper, we empirically examine time-varying risk premia in the Tunisian foreign exchange market by applying GARCH-M modeling to the TND/Euro and TND/USD parities for 1 to 12 months forecasting horizons.Our ultimate objective is to help better manage the parities and to help provide stability to a foreign exchange market where EMH is very wea
Abstract Precise characterization of geomaterials improves subsurface energy extraction and storage.Understanding geomaterial property, and the complexities between petrophysics and geomechanics, plays a key role in maintaining energy security and the transition Refrigeration Gauge Manifold to a net zero global carbon economy.Multiple sectors deman