For agronomic, environmental, and economic reasons, the need for spatialized information
about agricultural practices is expected to rapidly increase. In this context, we reviewed the …

Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …

In viticulture, the adoption of precision agriculture techniques is nowadays increasingly
essential to reach required high product quality standards. New reliable tools for map** …

The use of Unmanned Aerial Vehicles (UAVs) in viticulture permits the capture of aerial Red-
Green-Blue (RGB) images with an ultra-high spatial resolution. Recent studies have …

We propose the use of texture motifs, or characteristic spatially recurrent patterns, for
modeling and detecting geospatial objects. A method is proposed for learning a texture-motif …

Spectral information alone is often not sufficient to distinguish certain terrain classes such as
permanent crops like orchards, vineyards, and olive groves from other types of vegetation …

Land cover identification and monitoring agricultural resources using remote sensing
imagery are of great significance for agricultural management and subsidies. Particularly …

Precision viticulture benefits from the accurate detection of vineyard vegetation from remote
sensing, without a priori knowledge of vine locations. Vineyard detection enables efficient …

In this paper, we explore the potentialities of using wavelet-based multivariate models for the
classification of very high resolution optical images. A strategy is proposed to apply these …

In viticulture, knowledge of vineyard vigour represents a useful tool for management. Over
large areas, the grapevine vigour is mapped by remote sensing usually with vegetation …