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 |