Vegetation Indices (VIs) obtained from remote sensing based canopies are quite simple and
effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor …

Phenotypic information is of great significance for irrigation management, disease
prevention and yield improvement. Interest in the evaluation of phenotypes has grown with …

Timely and accurate mapping of leaf area index (LAI) in vineyards plays an important role for
management choices in precision agricultural practices. However, only a little work has …

Leaf area index (LAI) and plant area index (PAI) are common and important biophysical
parameters used to estimate agronomical variables such as canopy growth, light …

In precision viticulture, the intra-field spatial variability characterization is a crucial step to
efficiently use natural resources by lowering the environmental impact. In recent years …

The leaf area index (LAI), a valuable variable for assessing vine vigor, reflects nutrient
concentrations in vineyards and assists in precise management, including fertilization …

Phytophthora root rot (PRR) infects the roots of avocado trees, resulting in reduced uptake of
water and nutrients, canopy decline, defoliation, and, eventually, tree mortality. Typically, the …

Abstract China's Loess Plateau is the optimal and largest region of growing apple trees in
the world. Subsurface irrigation with ceramic emitters (SICE) is an energy-efficient and water …

A range of remote sensing platforms provide high spatial and temporal resolution insights
which are useful for monitoring vegetation growth. Very few studies have focused on fruit …

To improve the performance of materials, we employ first-principles techniques based on
density functional theory (DFT) implemented in the Wien 2k code to study perovskites …