GrapesNet: Indian RGB & RGB-D vineyard image datasets for deep learning applications.

ABSTRACT: In most of the countries, grapes are considered as a cash crop. Currently huge research is going on in development of automated grape harvesting systems. Speedy and reliable grape bunch detection is prime need for various deep learning based automated systems which deals with object detection and object segmentation tasks. But currently very few datasets are available on grape bunches in vineyard, because of which there is restriction to the research in this area. In comparison to the vineyard in outside countries, Indian vineyard structure is more complex, so it becomes hard to work in real-time. To overcome these problems and to make vineyard dataset for suitable for Indian vineyard scenarios, this paper proposed four different datasets on grape bunches in vineyard. For creating all data

SUBMITTER: Barbole DK 

PROVIDER: S-EPMC10113749 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature