Other Access

The information on this page (the dataset metadata) is also available in these formats:

JSON RDF

Code from: Using cameras for precise measurement of two-dimensional plant features

Images are used frequently in plant phenotyping to capture measurements. This chapter offers a repeatable method for capturing two-dimensional measurements of plant parts in field or laboratory settings using a variety of camera styles (cellular phone, DSLR), with the addition of a printed calibration pattern. The method is based on calibrating the camera using information available from the EXIF tags from the image, as well as visual information from the pattern. Code is provided to implement the method, as well as a dataset for testing. We include steps to verify protocol correctness by imaging an artifact. The use of this protocol for two-dimensional plant phenotypoing will allow data capture from different cameras and environments, with comparison on the same physical scale.

Dataset Info

These fields are compatible with DCAT, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.
FieldValue
Authors
Tabb, Amy
(ORCID)
Product Type
Software
Intended Use
The intended use of this method is for two-dimensional plant phenotyping, using consumer cameras. However, precise measurement of other roughly two-dimensional objects are possible with this method.
Use Limitations
This method is not suitable for three-dimensional objects.
Publisher
Ag Data Commons
Contact Name
Tabb, Amy
Contact Email
Public Access Level
Public
Primary Article

Tabb, A., Holguı́n, G.A., & Naegele, R. Using cameras for precise measurement of two-dimensional plant features. May 2019. arXiv:1904.13187 [cs.CV]. https://arxiv.org/abs/1904.13187

Related Article
License
Funding Source(s)
Agricultural Research Service
Program Code
005:037 - Department of Agriculture - Research and Education
Bureau Code
005:18 - Agricultural Research Service
Modified Date
2019-05-29
Release Date
2019-03-31
Ag Data Commons Keywords: 
  • Plants & Crops
  • Plants & Crops
  • Traits
  • Maps & Multimedia
  • Images (non-GIS)
  • Organisms
  • Maps & Multimedia
  • Images (non-GIS)
  • Maps & Multimedia