Optimizing farmland shelterbelts identification: a novel framework based on the PF-Deeplab model and multi-task collaborative strategy Article Swipe
Jiming Liu
,
Xinle Zhang
,
Linghua Meng
,
Chuan Qin
,
Zeyu An
,
Hongjie Zhang
,
Qiangzi Li
,
Huanjun Liu
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.jag.2025.104778
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1016/j.jag.2025.104778
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jag.2025.104778
- OA Status
- gold
- References
- 115
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413043727
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413043727Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.jag.2025.104778Digital Object Identifier
- Title
-
Optimizing farmland shelterbelts identification: a novel framework based on the PF-Deeplab model and multi-task collaborative strategyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-08-07Full publication date if available
- Authors
-
Jiming Liu, Xinle Zhang, Linghua Meng, Chuan Qin, Zeyu An, Hongjie Zhang, Qiangzi Li, Huanjun LiuList of authors in order
- Landing page
-
https://doi.org/10.1016/j.jag.2025.104778Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.jag.2025.104778Direct OA link when available
- Concepts
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Task (project management), Identification (biology), Windbreak, Computer science, Geography, Forestry, Operations research, Mathematics, Environmental science, Engineering, Agroforestry, Ecology, Biology, Systems engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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115Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works_count | 115 |
| abstract_inverted_index | |
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| countries_distinct_count | 0 |
| institutions_distinct_count | 8 |
| citation_normalized_percentile.value | 0.43657443 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |