Automatic grape bunch detection in vineyards based on affordable 3D phenotyping using a consumer webcam.
No hay miniatura disponible
Fecha
Título de la revista
ISSN de la revista
Título del volumen
Editor
Resumen
Descripción
This work presents a methodology for 3-D phenotyping of vineyards based on images captured by a low cost high-definition webcamera. A novel software application integrated visual odometry and multiple-view stereo components to create dense and accurate three-dimensional points clouds for vines, properly transformed to millimeter scale. Geometrical and color features of the points were employed by a classification procedure that reached 93% of accuracy on detecting points belonging to grapes. Individual bunches were automatically delimited and their volumes estimated. The sum of the estimated volumes per vine presented a coefficient of correlation of R = 0.99 to the real grape weight observed in each vine after harvesting.
SBIAgro 2017.
SBIAgro 2017.
Palabras clave
Estimativa de podução, Métodos não-invasivos, Fenotipagem 3D, Visão estéro múltipla, Simultaneous localization and mapping, Yield estimation, Non-invasive methods, 3-D phenotyping, Multiple view stereo, Videira, Viticultura, Viticulture, Phenotype