Knowledge Center Catalog

Advancing food security : (Record no. 68384)

MARC details
000 -LEADER
fixed length control field 03935nab|a22004457a|4500
001 - CONTROL NUMBER
control field 68384
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250127143844.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 202412s2024||||-us|||p|op||||00||0|eng|d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1932-6203 (Online)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1371/journal.pone.0309982
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 Tiwari, V.
9 (RLIN) 28432
245 10 - TITLE STATEMENT
Title Advancing food security :
Remainder of title Rice yield estimation framework using time-series satellite data & machine learning
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. San Francisco (United States) :
Name of publisher, distributor, etc. Public Library of Science,
Date of publication, distribution, etc. 2024.
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open access
520 ## - SUMMARY, ETC.
Summary, etc. Timely and accurately estimating rice yields is crucial for supporting food security management, agricultural policy development, and climate change adaptation in rice-producing countries such as Bangladesh. To address this need, this study introduced a workflow to enable timely and precise rice yield estimation at a sub-district scale (1,000-meter spatial resolution). However, a significant gap exists in the application of remote sensing methods for government-reported rice yield estimation for food security management at high spatial resolution. Current methods are limited to specific regions and primarily used for research, lacking integration into national reporting systems. Additionally, there is no consistent yearly boro rice yield map at a sub-district scale, hindering localized agricultural decision-making. This workflow leveraged MODIS and annual district-level yield data to train a random forest model for estimating boro rice yields at a 1,000-meter resolution from 2002 to 2021. The results revealed a mean percentage root mean square error (RMSE) of 8.07% and 12.96% when validation was conducted using reported district yields and crop-cut yield data, respectively. Additionally, the estimated yield of boro rice varies with an uncertainty range between 0.40 and 0.45 tons per hectare across Bangladesh. Furthermore, a trend analysis was performed on the estimated boro rice yield data from 2002 to 2021 using the modified Mann-Kendall trend test with a 95% confidence interval (p < 0.05). In Bangladesh, 23% of the rice area exhibits an increasing trend in boro rice yield, 0.11% shows a decreasing trend, and 76.51% of the area demonstrates no trend in rice yield. Given that this is the first attempt to estimate boro rice yield at 1,000-meter spatial resolution over two decades in Bangladesh, the estimated mid-season boro rice yield estimates are scalable across space and time, offering significant potential for strengthening food security management in Bangladesh. Furthermore, the proposed workflow can be easily applied to estimate rice yields in other regions worldwide.
546 ## - LANGUAGE NOTE
Language note Text in English
597 ## - CGIAR Initiative
CGIAR Initiative Transforming Agrifood Systems in South Asia
Donor or Funder CGIAR Trust Fund
-- United States Agency for International Development (USAID)
-- Cereal Systems Initiative for South Asia (CSISA)
-- Bill & Melinda Gates Foundation (BMGF)
CGSpace handle https://hdl.handle.net/10568/169956
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Food security
Source of heading or term AGROVOC
9 (RLIN) 1118
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Rice
Source of heading or term AGROVOC
9 (RLIN) 1243
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Crop yield
Source of heading or term AGROVOC
9 (RLIN) 1066
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
Source of heading or term AGROVOC
9 (RLIN) 11127
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Climate change adaptation
Source of heading or term AGROVOC
9 (RLIN) 5511
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Satellites
Source of heading or term AGROVOC
9 (RLIN) 3815
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data
Source of heading or term AGROVOC
9 (RLIN) 9002
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Thorp, K.
9 (RLIN) 37903
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tulbure, M.G.
9 (RLIN) 32416
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gray, J.M.
9 (RLIN) 37169
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kamruzzaman, M.
9 (RLIN) 37904
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 Sankarasubramanian, A.
9 (RLIN) 37905
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ardon, M.
9 (RLIN) 37906
773 0# - HOST ITEM ENTRY
Place, publisher, and date of publication San Francisco (United States) : Public Library of Science, 2024.
Related parts v. 19, no. 12, art. e0309982
Title PLoS ONE
International Standard Serial Number 1932-6203
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/35399
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
01/03/2025   01/03/2025 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 01/03/2025

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