Abstract Machine learning (ML) models are a leading analytical technique used to monitor,
map and quantify land use and land cover (LULC) and its change over time. Models such as …

Carrot yield maps are an essential tool in supporting decision makers in improving their
agricultural practices, but they are unconventional and not easy to obtain. The objective was …

Knowing the components of a soil water balance—for example, evapotranspiration, soil
water content, and precipitation—is the basis for agricultural water management. Weighing …

The land use and land cover (LULC) classification has great potential to contribute to the
monitoring of land degradation and climatic disasters. The purpose of this study was to …

The color of olive oil is influenced by chlorophyll pigments, which is one of the basic quality
characteristics of olive oil. Furthermore, the concentration of chlorophyll pigments in olives …

The key problem in the reasonable management of water is identifying the effective radius of
surface water pollution. Remote sensing and three-dimensional fluorescence technologies …

Climate and anthropogenic changes are expected to reduce renewable groundwater
resources and to increase the risks of water scarcity, particularly in arid regions …

Irrigation has the largest share of water exploitation. Therefore, it is vital to access the
irrigation performance in any region of the world. Furthermore, estimation of the …

The importance of the precise estimation of evapotranspiration is directly related to
sustainable water usage. Since agriculture represents 70% of Brazil's water consumption …

Surface temperature (LST) is one of the main variables that involve the physical processes
present on the surface of a planet and is one of the variables of greater relevance in the …