In drying seaweeds, it is important to describe its behavior using semi-theoretical models. Predicting the best model for seaweed was commonly done by testing goodness of curve models calculating coefficient determination R2, reduced chi square X2, root means error (RMSE) and mean bias (MBE). However, essential rank before selection assessing performance index Φ relative deviation (MRD). It als...

In this study, we used Landsat Earth observations and gridded weather data along with global soil datasets available in Google Engine (GEE) to estimate crop yield at 30 m resolution. We implemented a remote sensing evapotranspiration-based light use efficiency model globally integrated abiotic environmental stressors (temperature, moisture, vapor deficit stressors). The operational (Global Yiel...

This paper addresses the refinement and testing of a simple downwelling longwave radiation model. Oklahoma atmospheric surface-layer instrumentation system (OASIS) radiation data in combination with Oklahoma Mesonet weather data were used to evaluate various techniques for estimating downwelling longwave radiation, for daytime and nighttime as well as clear and cloudy skies. The Brutsaert [Wate...

Most weather monitoring systems used for measuring meteorological parameters are imported. For many developing countries like Nigeria, importing instruments is practically bedeviled with problems due to erratic exchange rates. This has hampered weather-related research especially in radio propagation studies where finite data required. In the quest develop a home-grown system, this paper presen...