Knowledge Center Catalog

Detection of Fall Armyworm infestation in maize fields during vegetative growth stages using temporal Sentinel-2 (Record no. 68724)

MARC details
000 -LEADER
fixed length control field 04359nab|a22005417a|4500
001 - CONTROL NUMBER
control field 68724
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251121145005.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 25040722025||||ne|||p|op||||00||0|eengdd
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1569-8432
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1872-826X (Online)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1016/j.jag.2025.104516
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dzurume, T.
9 (RLIN) 38610
245 10 - TITLE STATEMENT
Title Detection of Fall Armyworm infestation in maize fields during vegetative growth stages using temporal Sentinel-2
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Netherlands :
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. Fall Armyworm (FAW), Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae), poses a significant risk to global food and income security by attacking various crops, particularly maize. Early detection and management of FAW infestation are crucial for mitigating its impact on crop yields. This study investigated the effect of FAW infestation on the spectral signature of maize fields and classified infestation severity in Bangladesh using Sentinel-2 satellite imagery and Random Forest (RF) classification. Field observations on FAW infestation severity (none, moderate, and severe), collected by the Bangladesh Department of Agricultural Extension during 2019 and 2020, were used to train the RF classifier. Six thousand nine hundred ninety-eight observations were collected from 579 maize fields through weekly scouting. The Kruskal-Wallis test and Dunn’s post-hoc test were applied to identify the most significant spectral bands (P < 0.05) for detecting FAW incidence and severity across different maize growth stages. The results demonstrated that the spectral reflectance from Sentinel-2 bands varied significantly among different classes of FAW infestation, with noticeable differences observed during the early developmental stages of maize (vegetative growth stages 3 to 8). RF identified nine spectral bands and two spectral vegetation indices as important for FAW infestation discrimination. The RF classifier was evaluated using five-fold cross-validation, achieving an overall accuracy between 74 % and 84 %. The independent test set’s accuracy ranged from 72 % to 82 %. The mean multiclass AUC ranged from 0.83 to 0.95. Moreover, the results demonstrated the feasibility of detecting the severity of FAW infestation using temporal Sentinel-2 data and machine learning techniques. These findings underscore the potential of remote sensing and machine learning techniques for effectively monitoring and managing crop pests. The study provides valuable insights for classifying FAW infestation using high-resolution multitemporal data.
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Affiliation Billah, M. : Not in IRS staff list but CIMMYT Affiliation
591 ## - CATALOGING NOTES
Affiliation Syed Nurul Alam : Not in IRS staff list but CIMMYT Affiliation
591 ## - CATALOGING NOTES
Affiliation Kamal, M. : Not in IRS staff list but CIMMYT Affiliation
591 ## - CATALOGING NOTES
Affiliation Md. Harun-Or-Rashid : Not in IRS staff list but CIMMYT Affiliation
597 ## - CGIAR Initiative
CGIAR Impact area Nutrition, health & food security
CGIAR Initiative Transforming Agrifood Systems in South Asia
CGIAR Action areas Resilient Agrifood Systems
Donor or Funder CGIAR Trust Fund
-- United States Agency for International Development (USAID)
CGSpace handle https://hdl.handle.net/10568/174380
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pest insects
Source of heading or term AGROVOC
9 (RLIN) 3760
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Maize
Source of heading or term AGROVOC
9 (RLIN) 1173
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Remote sensing
Source of heading or term AGROVOC
9 (RLIN) 1986
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pest management
Source of heading or term AGROVOC
9 (RLIN) 9173
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Fall armyworms
Source of heading or term AGROVOC
9 (RLIN) 23522
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Darvishzadeh, R.
9 (RLIN) 25049
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dube, T.
9 (RLIN) 18393
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Amjath Babu, T.S.
Field link and sequence number 001711956
Miscellaneous information Sustainable Agrifood Systems
9 (RLIN) 3345
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Billah, M.
9 (RLIN) 12593
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Syed Nurul Alam
9 (RLIN) 31596
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kamal, M.
9 (RLIN) 7501
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Md. Harun-Or-Rashid
9 (RLIN) 26307
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Badal Chandra Biswas
9 (RLIN) 40527
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Md. Ashraf Uddin
9 (RLIN) 38611
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Md. Abdul Muyeed
9 (RLIN) 32830
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Md Mostafizur Rahman Shah
9 (RLIN) 36937
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Krupnik, T.J.
Miscellaneous information Sustainable Agrifood Systems
Field link and sequence number INT3222
9 (RLIN) 906
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nelson, A.
9 (RLIN) 20712
773 0# - HOST ITEM ENTRY
Title International Journal of Applied Earth Observation and Geoinformation
Related parts v. 139, art. 104516
Place, publisher, and date of publication Netherlands : Elsevier B.V., 2025.
International Standard Serial Number 1569-8432
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/35607
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
04/07/2025   04/07/2025 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 04/07/2025

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