Table grapes are a crop with high nutritional value that need to be monitored often to
achieve high yield and quality. Non-destructive methods, such as satellite and proximal …

Wine grapes need frequent monitoring to achieve high yields and quality. Non-destructive
methods, such as proximal and remote sensing, are commonly used to estimate crop yield …

Phenolic compounds have a strong influence on the quality and authenticity of grapes, and
they have been the main objective of several studies due to its importance on the structure …

Remote-sensing measurements are crucial for smart-farming applications, crop monitoring,
and yield forecasting, especially in fields characterized by high heterogeneity. Therefore, in …

The aim of this study was to assess the spatial variability of plant vigor in a vineyard in a
humid climate. Normalised Difference Vegetation Index (NDVI) was used for relating the …

According to modern precision agriculture principles, remote and proximal sensing can be
extraordinarily useful tools for sustainable water resource management in viticulture. More …

Reliable assessment of grapevine productivity is a destructive and time-consuming process.
In addition, the mixed effects of grapevine water status and scion-rootstock interactions on …

In this study, the feasibility of estimation and forecast of different vitality Quercus variabilis
seeds by a hyperspectral imaging technique were investigated. Artificially accelerated aging …

Vegetation indices (VI), especially the normalised difference vegetation index (NDVI), are
used to determine management units (MU) and to explain quantity and quality of vineyard …

Over the last 50 years, many approaches for extracting plant key parameters from remotely
sensed data have been developed, especially in the last decade with the spread of …