In an attempt to harness webcam technology for the biological monitoring of grassland plants, a Microsoft LifeCam-based photogrammetric system was developed for the remote capture of 3D measurements of plants. Research was necessary to determine the metric quality of this webcam imagery for photogrammetric 3D measurement. This paper presents the details of a qualitative evaluation of a LifeCam VX-3000 for indoor and outdoor photogrammetric measurement together with the results of a case study involving two common small grassland plants. In the evaluation, laboratory and in-situ principal distance (PD) determination techniques were performed, thus evaluating the significance of the latter for improving measurement accuracy in an uncontrolled...
Several approaches are currently established in the German Plant Phenotyping Network (DPPN) to measu...
Pastures are botanically diverse and difficult to characterize. Digital modeling of pasture biomass ...
Shoot properties of single plants and plant canopies reflect the genetic variability of plant archit...
[Introduction]: Machine vision is commonly reported for use in automated plant-based applications s...
Geometric dimensions of plants are significant parameters for showing plant dynamic responses to env...
Plant growth monitoring is one of the crucial steps within plant phenotyping. Traditional manual mea...
Detailed 3D plant architectural data have numerous applications in plant science, but many existing ...
Crop-Surface-Models (CSMs) are a useful tool for monitoring in-field crop growth variability, thus e...
Machine vision has been successfully used for mechanical destruction of weeds between rows of crops....
Estimation of plant canopy using low-altitude imagery can help monitor the normal growth status of c...
Crop monitoring is an essential practice within the field of precision agriculture since it is based...
Through processing images taken from wireless WebCAMs on the low altitude remote sensing (LARS) plat...
Machine vision has been successfully used for mechanical destruction of weeds between rows of crops....
Nowadays, 3D imaging of plants not only contributes to monitoring and managing plant growth, but is ...
Background: For identifying the best growth conditions for plants, plant feature measurements is an ...
Several approaches are currently established in the German Plant Phenotyping Network (DPPN) to measu...
Pastures are botanically diverse and difficult to characterize. Digital modeling of pasture biomass ...
Shoot properties of single plants and plant canopies reflect the genetic variability of plant archit...
[Introduction]: Machine vision is commonly reported for use in automated plant-based applications s...
Geometric dimensions of plants are significant parameters for showing plant dynamic responses to env...
Plant growth monitoring is one of the crucial steps within plant phenotyping. Traditional manual mea...
Detailed 3D plant architectural data have numerous applications in plant science, but many existing ...
Crop-Surface-Models (CSMs) are a useful tool for monitoring in-field crop growth variability, thus e...
Machine vision has been successfully used for mechanical destruction of weeds between rows of crops....
Estimation of plant canopy using low-altitude imagery can help monitor the normal growth status of c...
Crop monitoring is an essential practice within the field of precision agriculture since it is based...
Through processing images taken from wireless WebCAMs on the low altitude remote sensing (LARS) plat...
Machine vision has been successfully used for mechanical destruction of weeds between rows of crops....
Nowadays, 3D imaging of plants not only contributes to monitoring and managing plant growth, but is ...
Background: For identifying the best growth conditions for plants, plant feature measurements is an ...
Several approaches are currently established in the German Plant Phenotyping Network (DPPN) to measu...
Pastures are botanically diverse and difficult to characterize. Digital modeling of pasture biomass ...
Shoot properties of single plants and plant canopies reflect the genetic variability of plant archit...