Light detection and ranging (LiDAR) sensors have accrued an ever-increasing presence in
the agricultural sector due to their non-destructive mode of capturing data. LiDAR sensors …

Notions of terroir and their conceptualization through agro-environmental sciences have
become popular in many parts of world. Originally developed for wine, terroir now …

This study explores the use of structure from motion (SfM), a computer vision technique, to
model vine canopy structure at a study vineyard in the Texas Hill Country. Using an …

LiDAR data are becoming increasingly available, which has opened up many new
applications. One such application is crop type mapping. Accurate crop type maps are …

Currently, the greatest challenge for vine growers is to improve the yield and quality of
grapes by minimizing costs and environmental impacts. This goal can be achieved through …

This paper presents a collective sensing approach that integrates imperfect Volunteered
Geographic Information (VGI) obtained through Citizen Science (CS) tree mapping projects …

The aim of this work is to evaluate the applicability of the 3D model obtained through
Structure-from-Motion (SFM) from unmanned aerial vehicle (UAV) imagery, in order to …

Grapevines are subjected to many physiological and environmental stresses that influence
their vegetative and reproductive growth. Water stress, cold damage, and pathogen attacks …

The primary purpose of this study was to improve our understanding of remote sensing
technologies and their potential application in vineyards to monitor yields and fruit …

This paper outlines the various sensor technologies available for monitoring grapevine
performance remotely. These sensors range from optical reflectance sensors (including …