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Data Extent

Data from: Multi-species fruit flower detection using a refined semantic segmentation network

Image of apple tree in bloom.

This dataset consists of four sets of flower images, from three different species: apple, peach, and pear, and accompanying ground truth images. The images were acquired under a range of imaging conditions. These datasets support work in an accompanying paper that demonstrates a flower identification algorithm that is robust to uncontrolled environments and applicable to different flower species. While this data is primarily provided to support that paper, other researchers interested in flower detection may also use the dataset to develop new algorithms. Flower detection is a problem of interest in orchard crops because it is related to management of fruit load.

Funding provided through ARS Integrated Orchard Management and Automation for Deciduous Tree Fruit Crops.

FieldValue
Tags
Modified
2019-08-05
Release Date
2018-03-01
Identifier
e270dc1b-f9b2-4818-b8ee-7bcc7271e6ff
Spatial / Geographical Coverage Area
POINT (-77.87 39.35)
Publisher
Ag Data Commons
Temporal Coverage
January 1, 2016 to December 31, 2017
License
Contact Name
Tabb, Amy
Contact Email
Public Access Level
Public
Program Code
005:040 - Department of Agriculture - National Research
Bureau Code
005:18 - Agricultural Research Service