U.S. flag

An official website of the United States government

The Ag Data Commons is migrating

The Ag Data Commons is migrating to a new institutional portal on Figshare. The current system is available for search and download only. The new platform is open for submission with assistance from Ag Data Commons curators. Please contact NAL-ADC-Curator@usda.gov, if you need to publish or update your datasets.

License

U.S. Public Domain
[Open Data]

Other Access

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

JSON RDF

via the DKAN API

Data Extent

Social

IMAP: Image Mapping & Analytics for Phenotyping

A set of PYTHON programs to implement image processing of ground and aerial images by offering via graphical user interface (GUI) 1) plot-level metrics extraction through a series of algorithms for image conversion, band math, radiometric/geometric calibrations, segmentation, masking, adaptive region of interest (ROI), gridding, heatmap, and batch process, 2) GIS interface for GeoTIFF pixels to Lat/Lon, UTM conversion, read/write shapefile, Lat/Lon to ROI, grid to polygon, and 3) utility GUI functions for zooming, panning, rotation, images to video, file I/O, and histogram.

See all >>
FieldValue
Tags
plant phenotyping
image analysis
Drone_Images
satellite image
calibration
gis
crop management
water management
software
np301
Modified
2022-09-16
Release Date
2021-09-21
Identifier
d551116d-98a5-44bb-9a4d-15096fd6277c
Spatial / Geographical Coverage Area
POLYGON ((-373.59375715256 -65.778772326728, -373.59375715256 84.220160826965, -12.187442779541 84.220160826965, -12.187442779541 -65.778772326728))
Publisher
Ag Data Commons
Spatial / Geographical Coverage Location
Earth
Temporal Coverage
December 18, 2018 to August 30, 2021
License
U.S. Public Domain
Contact Name
Kim, James
Contact Email
james.kim2@usda.gov
Public Access Level
Public
Program Code
005:040 - Department of Agriculture - National Research
Bureau Code
005:18 - Agricultural Research Service
Extended Metadata: 
FieldValue
Authors
Kim, James Y. (ORCID)
Peer Reviewed
No
Intended Use
IMAP serves as a GUI-based image analytic software for high throughput phenotyping (HTP) in plant breeding and sustainable crop management on field crops as well as plants in growth chambers or greenhouses. Ground or aerial (UAV or Satellite) images may be collected to study plant health conditions of field crops to extract the plot-level metrics such as normalized difference vegetation index (NDVI), leaf area index (LAI), LAI covariance, heatmap, etc. An RGB or multispectral image is read for ROI or grid analysis on segmented vegetation pixels. A metafile can be saved for all configuration parameters and loaded for quick retrieval. A set of seasonal images may be read and batch processed to generate metrics outputs and visualize a field map calendar.
Use Limitations
IMAP supports rectangular or oval ROI, processing images of rectangular fields (software update planned for images of circular fields). File/folder structure in batch process may need to be adjusted to read the end-user's data.
Equipment or Software Used
Anaconda Python 3.8
Wing Python IDE
Funding Sources
Agricultural Research Service
2020-21410-007-00D
Agricultural Research Service
2020-21000-013-00D
Agricultural Research Service
2020-11000-013-00D
Primary Article

Kim, J. Y. (2021). Software design for image mapping and analytics for high throughput phenotyping. Computers and Electronics in Agriculture, 191, 106550. https://doi.org/10.1016/j.compag.2021.106550

AgID: 10113/7564587
Dataset DOI (digital object identifier)
10.15482/USDA.ADC/1523140
Product Type
Software
FieldValue
OSTI Identifier
ISO Topic(s)
farming
geoscientificInformation
imageryBaseMapsEarthCover
National Agricultural Library Thesaurus Term
phenotype
computer software
image analysis
aerial photography
algorithms
radiometry
geometry
geographic information systems
remote sensing
crop management
water management
plant breeding
field crops
greenhouses
unmanned aerial vehicles
satellites
normalized difference vegetation index
leaf area index
multispectral imagery
vegetation
Research Technology and Engineering
Natural Resources Earth and Environmental Sciences
Ag Data Commons Keywords
  • Maps & Multimedia
  • Agroecosystems & Environment
  • Geography
  • Remote sensing
  • Agroecosystems & Environment
  • Geography
  • Agroecosystems & Environment
  • Agroecosystems & Environment
  • Plant and animal
  • Agroecosystems & Environment
  • Management

Suggested Citations:

(original article) Kim, J. Y. (2021). Software design for image mapping and analytics for high throughput phenotyping. Computers and Electronics in Agriculture, 191, 106550. https://doi.org/10.1016/j.compag.2021.106550

(dataset) Kim, James Y. (2021). IMAP: Image Mapping & Analytics for Phenotyping. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/1523140. Accessed 2023-12-09.