High-resolution maize yield mapping across Africa using earth observation and machine learning, deep learning, and foundation model Article Swipe
Krishnagopal Halder
,
Frank Ewert
,
Anitabha Ghosh
,
Kaushik Muduchuru
,
Radwa El Shawi
,
Jan Timko
,
W. Jim Zheng
,
Karam Alsafadi
,
Lei Guoging
,
Thomas Gaiser
,
Liangxiu Han
,
Amit Kumar Srivastava
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.srs.2025.100344
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.srs.2025.100344
Related Topics
Concepts
No concepts available.
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.srs.2025.100344
- OA Status
- gold
- References
- 45
- OpenAlex ID
- https://openalex.org/W4416956868
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4416956868Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.srs.2025.100344Digital Object Identifier
- Title
-
High-resolution maize yield mapping across Africa using earth observation and machine learning, deep learning, and foundation modelWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-12-03Full publication date if available
- Authors
-
Krishnagopal Halder, Frank Ewert, Anitabha Ghosh, Kaushik Muduchuru, Radwa El Shawi, Jan Timko, W. Jim Zheng, Karam Alsafadi, Lei Guoging, Thomas Gaiser, Liangxiu Han, Amit Kumar SrivastavaList of authors in order
- Landing page
-
https://doi.org/10.1016/j.srs.2025.100344Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.srs.2025.100344Direct OA link when available
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
45Number of works referenced by this work
Full payload
| id | https://openalex.org/W4416956868 |
|---|---|
| doi | https://doi.org/10.1016/j.srs.2025.100344 |
| ids.doi | https://doi.org/10.1016/j.srs.2025.100344 |
| ids.openalex | https://openalex.org/W4416956868 |
| fwci | |
| type | article |
| title | High-resolution maize yield mapping across Africa using earth observation and machine learning, deep learning, and foundation model |
| biblio.issue | |
| biblio.volume | 13 |
| biblio.last_page | 100344 |
| biblio.first_page | 100344 |
| is_xpac | False |
| apc_list.value | 1750 |
| apc_list.currency | USD |
| apc_list.value_usd | 1750 |
| apc_paid.value | 1750 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1750 |
| language | en |
| locations[0].id | doi:10.1016/j.srs.2025.100344 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210173871 |
| locations[0].source.issn | 2666-0172 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2666-0172 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Science of Remote Sensing |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_lineage_names | Elsevier BV |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Science of Remote Sensing |
| locations[0].landing_page_url | https://doi.org/10.1016/j.srs.2025.100344 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5094101587 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Krishnagopal Halder |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Krishnagopal Halder |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5072022077 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-4392-8154 |
| authorships[1].author.display_name | Frank Ewert |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Frank Ewert |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5047695909 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Anitabha Ghosh |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Anitabha Ghosh |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5101670089 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-8967-7872 |
| authorships[3].author.display_name | Kaushik Muduchuru |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Kaushik Muduchuru |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5083872954 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-5679-9099 |
| authorships[4].author.display_name | Radwa El Shawi |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Radwa Elshawi |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5116641791 |
| authorships[5].author.orcid | https://orcid.org/0009-0008-7409-056X |
| authorships[5].author.display_name | Jan Timko |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Jan Timko |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5091809743 |
| authorships[6].author.orcid | https://orcid.org/0000-0001-7411-6047 |
| authorships[6].author.display_name | W. Jim Zheng |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Wenhi Zheng |
| authorships[6].is_corresponding | False |
| authorships[7].author.id | https://openalex.org/A5026429087 |
| authorships[7].author.orcid | https://orcid.org/0000-0001-8925-7918 |
| authorships[7].author.display_name | Karam Alsafadi |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Karam Alsafadi |
| authorships[7].is_corresponding | False |
| authorships[8].author.id | https://openalex.org/A5118791117 |
| authorships[8].author.orcid | |
| authorships[8].author.display_name | Lei Guoging |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Lei Guoging |
| authorships[8].is_corresponding | False |
| authorships[9].author.id | https://openalex.org/A5069966398 |
| authorships[9].author.orcid | https://orcid.org/0000-0002-5820-2364 |
| authorships[9].author.display_name | Thomas Gaiser |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Thomas Gaiser |
| authorships[9].is_corresponding | False |
| authorships[10].author.id | https://openalex.org/A5023625466 |
| authorships[10].author.orcid | https://orcid.org/0000-0003-2491-7473 |
| authorships[10].author.display_name | Liangxiu Han |
| authorships[10].author_position | middle |
| authorships[10].raw_author_name | Liangxiu Han |
| authorships[10].is_corresponding | False |
| authorships[11].author.id | https://openalex.org/A5082386818 |
| authorships[11].author.orcid | https://orcid.org/0000-0001-8219-4854 |
| authorships[11].author.display_name | Amit Kumar Srivastava |
| authorships[11].author_position | middle |
| authorships[11].raw_author_name | Amit Kumar Srivastava |
| authorships[11].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1016/j.srs.2025.100344 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-12-03T00:00:00 |
| display_name | High-resolution maize yield mapping across Africa using earth observation and machine learning, deep learning, and foundation model |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-12-06T23:10:59.065948 |
| primary_topic | |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1016/j.srs.2025.100344 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210173871 |
| best_oa_location.source.issn | 2666-0172 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2666-0172 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Science of Remote Sensing |
| best_oa_location.source.host_organization | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_name | Elsevier BV |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_lineage_names | Elsevier BV |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Science of Remote Sensing |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.srs.2025.100344 |
| primary_location.id | doi:10.1016/j.srs.2025.100344 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210173871 |
| primary_location.source.issn | 2666-0172 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2666-0172 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Science of Remote Sensing |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_lineage_names | Elsevier BV |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Science of Remote Sensing |
| primary_location.landing_page_url | https://doi.org/10.1016/j.srs.2025.100344 |
| publication_date | 2025-12-03 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W2077766806, https://openalex.org/W4310808897, https://openalex.org/W2013414890, https://openalex.org/W1982627164, https://openalex.org/W2136166384, https://openalex.org/W4389148111, https://openalex.org/W3008179697, https://openalex.org/W2945365803, https://openalex.org/W2915755045, https://openalex.org/W4401944407, https://openalex.org/W4327596666, https://openalex.org/W4392153728, https://openalex.org/W4408196902, https://openalex.org/W4387184752, https://openalex.org/W4220677561, https://openalex.org/W4388792466, https://openalex.org/W4361276701, https://openalex.org/W4388020062, https://openalex.org/W4395052254, https://openalex.org/W4406170795, https://openalex.org/W1885078460, https://openalex.org/W2475463807, https://openalex.org/W1988902793, https://openalex.org/W2235201318, https://openalex.org/W4408033869, https://openalex.org/W3011754375, https://openalex.org/W2898962279, https://openalex.org/W1759826110, https://openalex.org/W4406261482, https://openalex.org/W4406607321, https://openalex.org/W3136179920, https://openalex.org/W4391493622, https://openalex.org/W3021364612, https://openalex.org/W4224308360, https://openalex.org/W3166420679, https://openalex.org/W3034940595, https://openalex.org/W1495410611, https://openalex.org/W3031712369, https://openalex.org/W2295598076, https://openalex.org/W4319431784, https://openalex.org/W4401091480, https://openalex.org/W3022727620, https://openalex.org/W2164672226, https://openalex.org/W4220804195, https://openalex.org/W4399554035 |
| referenced_works_count | 45 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 12 |
| citation_normalized_percentile |