Analyses of plants' geometrical shape is of great value for many precision agriculture
methodologies. Among them is the estimation of growth parameters which provide the basis …

Crop canopy spatial parameters are indicative of plant phenological growth stage and
physiological condition, and their estimation is therefore of great interest for modeling and …

Biomass estimation is important for biological research and agricultural management. Low-
cost two-dimensional (2D) computer vision has been applied to non-contact biomass …

An important task in precision agriculture is to monitor the growth conditions of the crop
plants. Compared to traditional monitoring techniques based on remote sensing from aircraft …

Stereo vision is a 3D imaging method that allows quick measurement of plant architecture.
Historically, the method has mainly been developed in controlled conditions. This study …

Increased adoption of the systems approach to biological research has focused attention on
the use of quantitative models of biological objects. This includes a need for realistic three …

Plant architecture is an important determinant of the canopy light interception and
photosynthesis. Therefore, effective and nondestructive methods for obtaining plant …

3D models of vegetation have been constructed to allow various simulations, such as the
interception of incoming radiation, radiative transfer, reflectance simulation in remote …

Leaf area measurements are commonly obtained by destructive and laborious practice. This
study shows how stereo and time‐of‐flight (ToF) images can be combined for non …

Accurate high-resolution 3D models are essential for a non-invasive analysis of phenotypic
characteristics of plants. Leaf surface areas, fruit volumes and leaf inclination angles are …