Knowledge Center Catalog

The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset (Record no. 69408)

MARC details
000 -LEADER
fixed length control field 04878nab|a22007577a|4500
001 - CONTROL NUMBER
control field 69408
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251016154349.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 20259s2025|||||xxu||p|op||||00||0|eng|dd
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2643-6515
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1016/j.plaphe.2025.100084
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 Zijian Wang
9 (RLIN) 40324
245 14 - TITLE STATEMENT
Title The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. United States of America :
Name of publisher, distributor, etc. Elsevier B.V.,
Date of publication, distribution, etc. 2025.
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. Computer vision is increasingly used in farmers' fields and agricultural experiments to quantify important traits. Imaging setups with a sub-millimeter ground sampling distance enable the detection and tracking of plant features, including size, shape, and colour. Although today's AI-driven foundation models segment almost any object in an image, they still fail for complex plant canopies. To improve model performance, the global wheat dataset consortium assembled a diverse set of images from experiments around the globe. After the head detection dataset (GWHD), the new dataset targets a full semantic segmentation (GWFSS) of organs (leaves, stems and spikes) covering all developmental stages. Images were collected by 11 institutions using a wide range of imaging setups. Two datasets are provided: i) a set of 1096 diverse images in which all organs were labelled at the pixel level, and (ii) a dataset of 52,078 images without annotations available for additional training. The labelled set was used to train segmentation models based on DeepLabV3Plus and Segformer. Our Segformer model performed slightly better than DeepLabV3Plus with a mIOU for leaves and spikes of ca. 90 %. However, the precision for stems with 54 % was rather lower. The major advantages over published models are: i) the exclusion of weeds from the wheat canopy, ii) the detection of all wheat features including necrotic and senescent tissues and its separation from crop residues. This facilitates further development in classifying healthy vs. unhealthy tissue to address the increasing need for accurate quantification of senescence and diseases in wheat canopies.
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Affiliation Perez-Olivera, I. : Not in IRS staff list but CIMMYT Affiliation
597 ## - CGIAR Initiative
Donor or Funder European Commission (EC)
-- International Wheat Yield Partnership (IWYP)
-- Heat and Drought Wheat Improvement Consortium (HeDWIC)
-- Accelerating Genetic Gains in Maize and Wheat (AGG)
-- Modernización Sustentable de la Agricultura Tradicional (MasAgro)
-- Secretaría de Agricultura y Desarrollo Rural (SADER)
-- Foundation for Food & Agriculture Research (FFAR)
-- Swiss National Science Foundation (SNSF)
-- Agence Nationale de la Recherche (ANR)
-- Biotechnology and Biological Sciences Research Council (BBSRC)
-- Analytics for the Australian Grains Industry (AAGI)
-- Fund for Scientific Research (FNRS)
-- Natural Sciences and Engineering Research Council of Canada (NSERC)
-- Canada First Research Excellence Fund (CFREF)
-- Japan Science and Technology Agency (JST)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Wheat
Source of heading or term AGROVOC
9 (RLIN) 1310
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Fields
Source of heading or term AGROVOC
9 (RLIN) 7065
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element High-throughput phenotyping
Source of heading or term AGROVOC
9 (RLIN) 30900
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Breeding
Source of heading or term AGROVOC
9 (RLIN) 1029
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zenkl, R.
9 (RLIN) 40325
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Greche, L.
9 (RLIN) 40326
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name De Solan, B.
9 (RLIN) 10072
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Samatan, L.B.
9 (RLIN) 40327
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Safaa Ouahid
9 (RLIN) 40328
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Visioni, A.
9 (RLIN) 40329
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Robles-Zazueta, C.A.
Field link and sequence number 001710187
Miscellaneous information Global Wheat Program
9 (RLIN) 23303
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 Perez-Olivera, I.
9 (RLIN) 40330
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Reynolds, M.P.
Miscellaneous information Global Wheat Program
Field link and sequence number INT1511
9 (RLIN) 831
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Chen Zhu
9 (RLIN) 40383
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Shouyang Liu
9 (RLIN) 10189
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name D'argaignon, M.P.
9 (RLIN) 40331
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lopez-Lozano, R.
9 (RLIN) 13779
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Weiss, M.
9 (RLIN) 10250
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Marzougui, A.
9 (RLIN) 30257
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Roth, L.
9 (RLIN) 40332
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dandrifosse, S.
9 (RLIN) 24311
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Carlier, A.
9 (RLIN) 24312
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dumont, B.
9 (RLIN) 1582
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mercatoris, B.
9 (RLIN) 24313
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fernandez, J.
9 (RLIN) 40333
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chapman, S.
9 (RLIN) 458
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Najafian, K.
9 (RLIN) 40334
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Stavness, I.
9 (RLIN) 24318
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Haozhou Wang
9 (RLIN) 24315
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Wei Guo
9 (RLIN) 8202
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Virlet, N.
9 (RLIN) 40335
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hawkesford, M.J.
9 (RLIN) 10302
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Zhi Chen
9 (RLIN) 40336
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name David, E.
9 (RLIN) 24303
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gillet, J.
9 (RLIN) 13780
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Kamran Irfan
9 (RLIN) 40337
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Comar, A.
9 (RLIN) 10054
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Hund, A.
9 (RLIN) 21619
773 0# - HOST ITEM ENTRY
Title Plant Phenomics
Related parts v. 7, no. 3, art. 100084
Place, publisher, and date of publication United States of America : Elsevier B.V., 2025.
International Standard Serial Number 2643-6515
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/35926
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
10/04/2025   10/04/2025 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 10/04/2025

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