Knowledge Center Catalog

Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images (Record no. 62820)

MARC details
000 -LEADER
fixed length control field 03776nab|a22003977a|4500
001 - CONTROL NUMBER
control field 62820
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231017232835.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200624s2020||||sz |||p|op||||00||0|eng|d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1664-462X
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.3389/fpls.2020.587093
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Xu Wang
9 (RLIN) 9093
245 10 - TITLE STATEMENT
Title Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Switzerland :
Name of publisher, distributor, etc. Frontiers,
Date of publication, distribution, etc. 2020.
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. The development of high-throughput genotyping and phenotyping has provided access to many tools to accelerate plant breeding programs. Unmanned Aerial Systems (UAS)-based remote sensing is being broadly implemented for field-based high-throughput phenotyping due to its low cost and the capacity to rapidly cover large breeding populations. The Structure-from-Motion photogrammetry processes aerial images taken from multiple perspectives over a field to an orthomosaic photo of a complete field experiment, allowing spectral or morphological trait extraction from the canopy surface for each individual field plot. However, some phenotypic information observable in each raw aerial image seems to be lost to the orthomosaic photo, probably due to photogrammetry processes such as pixel merging and blending. To formally assess this, we introduced a set of image processing methods to extract phenotypes from orthorectified raw aerial images and compared them to the negative control of extracting the same traits from processed orthomosaic images. We predict that standard measures of accuracy in terms of the broad-sense heritability of the remote sensing spectral traits will be higher using the orthorectified photos than with the orthomosaic image. Using three case studies, we therefore compared the broad-sense heritability of phenotypes in wheat breeding nurseries including, (1) canopy temperature from thermal imaging, (2) canopy normalized difference vegetation index (NDVI), and (3) early-stage ground cover from multispectral imaging. We evaluated heritability estimates of these phenotypes extracted from multiple orthorectified aerial images via four statistical models and compared the results with heritability estimates of these phenotypes extracted from a single orthomosaic image. Our results indicate that extracting traits directly from multiple orthorectified aerial images yielded increased estimates of heritability for all three phenotypes through proper modeling, compared to estimation using traits extracted from the orthomosaic image. In summary, the image processing methods demonstrated in this study have the potential to improve the quality of the plant trait extracted from high-throughput imaging. This, in turn, can enable breeders to utilize phenomics technologies more effectively for improved selection.
546 ## - LANGUAGE NOTE
Language note Text in English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Unmanned aerial vehicles
Source of heading or term AGROVOC
9 (RLIN) 11401
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Canopy
Source of heading or term AGROVOC
9 (RLIN) 1800
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Vegetation index
Source of heading or term AGROVOC
9 (RLIN) 5833
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Wheat
Miscellaneous information AGROVOC
Source of heading or term
9 (RLIN) 1310
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 2283
Personal name Silva, P.
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 16812
Personal name Bello, N.M.
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 3851
Personal name Singh, D.
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 16813
Personal name Evers, B.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mondal, S.
Miscellaneous information Formerly Global Wheat Program
Field link and sequence number INT3211
9 (RLIN) 904
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pinto Espinosa, F.
Field link and sequence number I1707012
Miscellaneous information Formerly Global Wheat Program
9 (RLIN) 4431
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Singh, R.P.
Miscellaneous information Global Wheat Program
Field link and sequence number INT0610
9 (RLIN) 825
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 2092
Personal name Poland, J.A.
773 0# - HOST ITEM ENTRY
Related parts v. 11, art. 587093
Place, publisher, and date of publication Switzerland : Frontiers, 2020.
International Standard Serial Number 1664-462X
Title Frontiers in Plant Science
Record control number u56875
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/21004
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Suppress in OPAC No
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Date last seen Total Checkouts Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
10/29/2020   10/29/2020 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 10/29/2020

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