Automatic grape bunch detection in vineyards based on affordable 3D phenotyping using a consumer webcam.
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.
Saved in:
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Anais e Proceedings de eventos biblioteca |
| Language: | English eng |
| Published: |
2017-12-21
|
| Subjects: | 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, |
| Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1083291 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|