Pre-harvest prediction of a crop yield may prevent a disastrous situation and help decision-
makers to apply more reliable and accurate strategies regarding food security. Remote …

An extended overview of the advantages and disadvantages of biomass composition and
properties for biofuel application was conducted based on reference peer-reviewed data …

Wheat improvement programs require rapid assessment of large numbers of individual plots
across multiple environments. Vegetation indices (VIs) that are mainly associated with yield …

Front-line remote sensing tools, coupled with machine learning (ML), have a significant role
in crop monitoring and disease surveillance. Crop type classification and a disease early …

Plant biomass is an important parameter for crop management and yield estimation.
However, since biomass cannot be determined non-destructively, other plant parameters …

Monitoring the above ground biomass (AGB) in winter oilseed rape is important for
improving the agronomic management efficiency and predicting yield to ensure edible oil …

Mangrove forests, as important ecological and economic resources, have suffered a loss in
the area due to natural and human activities. Monitoring the distribution of and obtaining …

Forest disturbances in central Europe caused by fungal pests may result in widespread tree
mortality. To assess the state of health and to detect disturbances of entire forest …

Remote sensing provides full-coverage and dynamic water quality monitoring with high
efficiency and low consumption. Deep learning (DL) has been progressively used in water …

Abstract The Water-Energy-Food Nexus (WEFN) is gaining attention as an important
approach to manage resources more holistically. Data availability, however, is a crucial …