Forests are suffering water stress due to climate change; in some parts of the globe, forests
are being exposed to the highest temperatures historically recorded. Machine learning …

Grain yield (GY) is a primary trait for phenotype selection in crop breeding. Rapid and cost-
effective prediction of GY before harvest from remote sensing platforms can be integrated …

Conventional methods to access plant physiological traits are based on destructive
measurements by means of biochemical extraction or leaf clipping, thereby limiting the …

Estimating plant traits accurately and timely is essential to improve breeding efficiency and
optimize management. By combining regression algorithms and hyperspectral reflectance …

Hyperspectral lidar (HSL) is a novel remote sensing technology that provides spectral
information in addition to spatial features. This unprecedented data source leads to new …

This paper, investigates and presents the behavioral modeling and digital pre-distortion
(DPD) of radio frequency power amplifiers (RFPAs) using a time-delay kernel ridge …

Anisotropy index (ANIX), which is defined as the ratio between the maximum and minimum
reflectance factors in the principal plane, has been applied in characterizing the optical …

Leaf chlorophyll concentration (LCC) is a key indicator of leaf nitrogen (N) and changes in
canopy structure, particularly the leaf area index (LAI), play a significant role in estimating …

Leaf chlorophyll content is a major indicator of plant health and productivity. Optical remote
sensing estimation of chlorophyll limits its retrievals to two-dimensional (2D) estimates, not …

Leaf mass per area (LMA) is a key plant functional trait closely related to leaf biomass.
Estimating LMA in fresh leaves remains challenging due to its masked absorption by leaf …