Proximal sensor integration for land use classification and soil analysis in a coastal environment Article Swipe
Sabrina Sharmeen Alam
,
Somsubhra Chakraborty
,
Fariha Chowdhury Jain
,
Shovik Deb
,
Rachna Singh
,
David C. Weindorf
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.cscee.2024.101079
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.cscee.2024.101079
Portable X-ray fluorescence (PXRF) and Nix Pro sensors are efficient tools for rapid in-situ soil analysis. This study combined PXRF and Nix Pro to classify land use and characterize soils from Sandwip Island, Bangladesh. Soil samples from agricultural, abandoned, and seashore areas were analyzed for EC, pH, organic carbon, and texture. Random forest model achieved 84 % classification accuracy, outperforming support vector machines (72 %). Significant soil salinity and management variations were noted, particularly in seashore areas. The findings highlight the potential of these sensors for sustainable soil monitoring, with future work needed to expand applicability to diverse regions and soil types.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.cscee.2024.101079
- OA Status
- gold
- Cited By
- 2
- References
- 52
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4405564140
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4405564140Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.cscee.2024.101079Digital Object Identifier
- Title
-
Proximal sensor integration for land use classification and soil analysis in a coastal environmentWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-12-19Full publication date if available
- Authors
-
Sabrina Sharmeen Alam, Somsubhra Chakraborty, Fariha Chowdhury Jain, Shovik Deb, Rachna Singh, David C. WeindorfList of authors in order
- Landing page
-
https://doi.org/10.1016/j.cscee.2024.101079Publisher 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.cscee.2024.101079Direct OA link when available
- Concepts
-
Land use, Environmental science, Remote sensing, Environmental resource management, Earth science, Soil science, Hydrology (agriculture), Geology, Geography, Engineering, Geotechnical engineering, Civil engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- References (count)
-
52Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4405564140 |
|---|---|
| doi | https://doi.org/10.1016/j.cscee.2024.101079 |
| ids.doi | https://doi.org/10.1016/j.cscee.2024.101079 |
| ids.openalex | https://openalex.org/W4405564140 |
| fwci | 0.77495023 |
| type | article |
| title | Proximal sensor integration for land use classification and soil analysis in a coastal environment |
| awards[0].id | https://openalex.org/G3760154249 |
| awards[0].funder_id | https://openalex.org/F4320316426 |
| awards[0].display_name | |
| awards[0].funder_award_id | 264 |
| awards[0].funder_display_name | University of Chittagong |
| biblio.issue | |
| biblio.volume | 11 |
| biblio.last_page | 101079 |
| biblio.first_page | 101079 |
| topics[0].id | https://openalex.org/T10770 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9962000250816345 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2305 |
| topics[0].subfield.display_name | Environmental Engineering |
| topics[0].display_name | Soil Geostatistics and Mapping |
| topics[1].id | https://openalex.org/T12157 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9743000268936157 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Geochemistry and Geologic Mapping |
| topics[2].id | https://openalex.org/T11164 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.9621999859809875 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2305 |
| topics[2].subfield.display_name | Environmental Engineering |
| topics[2].display_name | Remote Sensing and LiDAR Applications |
| funders[0].id | https://openalex.org/F4320316426 |
| funders[0].ror | https://ror.org/01173vs27 |
| funders[0].display_name | University of Chittagong |
| is_xpac | False |
| apc_list.value | 600 |
| apc_list.currency | USD |
| apc_list.value_usd | 600 |
| apc_paid.value | 600 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 600 |
| concepts[0].id | https://openalex.org/C4792198 |
| concepts[0].level | 2 |
| concepts[0].score | 0.5430170893669128 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1165944 |
| concepts[0].display_name | Land use |
| concepts[1].id | https://openalex.org/C39432304 |
| concepts[1].level | 0 |
| concepts[1].score | 0.5246658325195312 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[1].display_name | Environmental science |
| concepts[2].id | https://openalex.org/C62649853 |
| concepts[2].level | 1 |
| concepts[2].score | 0.4548100531101227 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[2].display_name | Remote sensing |
| concepts[3].id | https://openalex.org/C107826830 |
| concepts[3].level | 1 |
| concepts[3].score | 0.3638700544834137 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q929380 |
| concepts[3].display_name | Environmental resource management |
| concepts[4].id | https://openalex.org/C1965285 |
| concepts[4].level | 1 |
| concepts[4].score | 0.3385004699230194 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q8008 |
| concepts[4].display_name | Earth science |
| concepts[5].id | https://openalex.org/C159390177 |
| concepts[5].level | 1 |
| concepts[5].score | 0.3279419243335724 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q9161265 |
| concepts[5].display_name | Soil science |
| concepts[6].id | https://openalex.org/C76886044 |
| concepts[6].level | 2 |
| concepts[6].score | 0.32646894454956055 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2883300 |
| concepts[6].display_name | Hydrology (agriculture) |
| concepts[7].id | https://openalex.org/C127313418 |
| concepts[7].level | 0 |
| concepts[7].score | 0.3244670033454895 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[7].display_name | Geology |
| concepts[8].id | https://openalex.org/C205649164 |
| concepts[8].level | 0 |
| concepts[8].score | 0.32255682349205017 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[8].display_name | Geography |
| concepts[9].id | https://openalex.org/C127413603 |
| concepts[9].level | 0 |
| concepts[9].score | 0.20066246390342712 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[9].display_name | Engineering |
| concepts[10].id | https://openalex.org/C187320778 |
| concepts[10].level | 1 |
| concepts[10].score | 0.1991358995437622 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1349130 |
| concepts[10].display_name | Geotechnical engineering |
| concepts[11].id | https://openalex.org/C147176958 |
| concepts[11].level | 1 |
| concepts[11].score | 0.19309714436531067 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q77590 |
| concepts[11].display_name | Civil engineering |
| keywords[0].id | https://openalex.org/keywords/land-use |
| keywords[0].score | 0.5430170893669128 |
| keywords[0].display_name | Land use |
| keywords[1].id | https://openalex.org/keywords/environmental-science |
| keywords[1].score | 0.5246658325195312 |
| keywords[1].display_name | Environmental science |
| keywords[2].id | https://openalex.org/keywords/remote-sensing |
| keywords[2].score | 0.4548100531101227 |
| keywords[2].display_name | Remote sensing |
| keywords[3].id | https://openalex.org/keywords/environmental-resource-management |
| keywords[3].score | 0.3638700544834137 |
| keywords[3].display_name | Environmental resource management |
| keywords[4].id | https://openalex.org/keywords/earth-science |
| keywords[4].score | 0.3385004699230194 |
| keywords[4].display_name | Earth science |
| keywords[5].id | https://openalex.org/keywords/soil-science |
| keywords[5].score | 0.3279419243335724 |
| keywords[5].display_name | Soil science |
| keywords[6].id | https://openalex.org/keywords/hydrology |
| keywords[6].score | 0.32646894454956055 |
| keywords[6].display_name | Hydrology (agriculture) |
| keywords[7].id | https://openalex.org/keywords/geology |
| keywords[7].score | 0.3244670033454895 |
| keywords[7].display_name | Geology |
| keywords[8].id | https://openalex.org/keywords/geography |
| keywords[8].score | 0.32255682349205017 |
| keywords[8].display_name | Geography |
| keywords[9].id | https://openalex.org/keywords/engineering |
| keywords[9].score | 0.20066246390342712 |
| keywords[9].display_name | Engineering |
| keywords[10].id | https://openalex.org/keywords/geotechnical-engineering |
| keywords[10].score | 0.1991358995437622 |
| keywords[10].display_name | Geotechnical engineering |
| keywords[11].id | https://openalex.org/keywords/civil-engineering |
| keywords[11].score | 0.19309714436531067 |
| keywords[11].display_name | Civil engineering |
| language | en |
| locations[0].id | doi:10.1016/j.cscee.2024.101079 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210239778 |
| locations[0].source.issn | 2666-0164 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2666-0164 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Case Studies in Chemical and Environmental Engineering |
| 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 | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Case Studies in Chemical and Environmental Engineering |
| locations[0].landing_page_url | https://doi.org/10.1016/j.cscee.2024.101079 |
| locations[1].id | pmh:oai:doaj.org/article:7ea5b87e72e7444bbf9e3222dbf25c43 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Case Studies in Chemical and Environmental Engineering, Vol 11, Iss , Pp 101079- (2025) |
| locations[1].landing_page_url | https://doaj.org/article/7ea5b87e72e7444bbf9e3222dbf25c43 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5103181019 |
| authorships[0].author.orcid | https://orcid.org/0009-0008-2624-4253 |
| authorships[0].author.display_name | Sabrina Sharmeen Alam |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Sabrina Sharmeen Alam |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5112051437 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Somsubhra Chakraborty |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Somsubhra Chakraborty |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5115540132 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Fariha Chowdhury Jain |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Fariha Chowdhury Jain |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5004627218 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-1406-035X |
| authorships[3].author.display_name | Shovik Deb |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Shovik Deb |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5101030747 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Rachna Singh |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Rachna Singh |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5089925843 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-3814-825X |
| authorships[5].author.display_name | David C. Weindorf |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | David C. Weindorf |
| authorships[5].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.cscee.2024.101079 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Proximal sensor integration for land use classification and soil analysis in a coastal environment |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10770 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9962000250816345 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2305 |
| primary_topic.subfield.display_name | Environmental Engineering |
| primary_topic.display_name | Soil Geostatistics and Mapping |
| related_works | https://openalex.org/W4387497383, https://openalex.org/W3183948672, https://openalex.org/W3173606202, https://openalex.org/W3110381201, https://openalex.org/W2948807893, https://openalex.org/W2935909890, https://openalex.org/W2778153218, https://openalex.org/W2758277628, https://openalex.org/W1531601525, https://openalex.org/W2266160668 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1016/j.cscee.2024.101079 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210239778 |
| best_oa_location.source.issn | 2666-0164 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2666-0164 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Case Studies in Chemical and Environmental Engineering |
| 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 | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Case Studies in Chemical and Environmental Engineering |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.cscee.2024.101079 |
| primary_location.id | doi:10.1016/j.cscee.2024.101079 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210239778 |
| primary_location.source.issn | 2666-0164 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2666-0164 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Case Studies in Chemical and Environmental Engineering |
| 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 | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Case Studies in Chemical and Environmental Engineering |
| primary_location.landing_page_url | https://doi.org/10.1016/j.cscee.2024.101079 |
| publication_date | 2024-12-19 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W4205965801, https://openalex.org/W3093885740, https://openalex.org/W2077689075, https://openalex.org/W2736723798, https://openalex.org/W3044875590, https://openalex.org/W40397213, https://openalex.org/W2769190442, https://openalex.org/W2902503368, https://openalex.org/W3100147273, https://openalex.org/W6767942877, https://openalex.org/W2997081924, https://openalex.org/W2075140015, https://openalex.org/W2990339889, https://openalex.org/W1970180719, https://openalex.org/W6776524859, https://openalex.org/W2907723281, https://openalex.org/W2093674806, https://openalex.org/W2733689296, https://openalex.org/W4292178102, https://openalex.org/W2552145914, https://openalex.org/W2726797474, https://openalex.org/W2792772105, https://openalex.org/W3023093650, https://openalex.org/W2169018605, https://openalex.org/W1970929384, https://openalex.org/W1870614584, https://openalex.org/W2210410951, https://openalex.org/W4284880387, https://openalex.org/W4399453566, https://openalex.org/W6698986724, https://openalex.org/W6777943261, https://openalex.org/W2109741211, https://openalex.org/W4375857993, https://openalex.org/W6719508515, https://openalex.org/W6685643370, https://openalex.org/W2091160252, https://openalex.org/W4283821865, https://openalex.org/W2911964244, https://openalex.org/W1964940342, https://openalex.org/W6861676851, https://openalex.org/W3184685776, https://openalex.org/W4200370917, https://openalex.org/W2164330572, https://openalex.org/W2158698691, https://openalex.org/W2118978333, https://openalex.org/W2148143831, https://openalex.org/W4391649277, https://openalex.org/W4235877985, https://openalex.org/W2973195433, https://openalex.org/W2311440533, https://openalex.org/W2465867994, https://openalex.org/W3018873415 |
| referenced_works_count | 52 |
| abstract_inverted_index.% | 56 |
| abstract_inverted_index.84 | 55 |
| abstract_inverted_index.in | 74 |
| abstract_inverted_index.of | 82 |
| abstract_inverted_index.to | 23, 93, 96 |
| abstract_inverted_index.%). | 64 |
| abstract_inverted_index.(72 | 63 |
| abstract_inverted_index.EC, | 45 |
| abstract_inverted_index.Nix | 5, 21 |
| abstract_inverted_index.Pro | 6, 22 |
| abstract_inverted_index.The | 77 |
| abstract_inverted_index.and | 4, 20, 27, 39, 49, 68, 99 |
| abstract_inverted_index.are | 8 |
| abstract_inverted_index.for | 11, 44, 85 |
| abstract_inverted_index.pH, | 46 |
| abstract_inverted_index.the | 80 |
| abstract_inverted_index.use | 26 |
| abstract_inverted_index.PXRF | 19 |
| abstract_inverted_index.Soil | 34 |
| abstract_inverted_index.This | 16 |
| abstract_inverted_index.from | 30, 36 |
| abstract_inverted_index.land | 25 |
| abstract_inverted_index.soil | 14, 66, 87, 100 |
| abstract_inverted_index.were | 42, 71 |
| abstract_inverted_index.with | 89 |
| abstract_inverted_index.work | 91 |
| abstract_inverted_index.X-ray | 1 |
| abstract_inverted_index.areas | 41 |
| abstract_inverted_index.model | 53 |
| abstract_inverted_index.rapid | 12 |
| abstract_inverted_index.soils | 29 |
| abstract_inverted_index.study | 17 |
| abstract_inverted_index.these | 83 |
| abstract_inverted_index.tools | 10 |
| abstract_inverted_index.(PXRF) | 3 |
| abstract_inverted_index.Random | 51 |
| abstract_inverted_index.areas. | 76 |
| abstract_inverted_index.expand | 94 |
| abstract_inverted_index.forest | 52 |
| abstract_inverted_index.future | 90 |
| abstract_inverted_index.needed | 92 |
| abstract_inverted_index.noted, | 72 |
| abstract_inverted_index.types. | 101 |
| abstract_inverted_index.vector | 61 |
| abstract_inverted_index.Island, | 32 |
| abstract_inverted_index.Sandwip | 31 |
| abstract_inverted_index.carbon, | 48 |
| abstract_inverted_index.diverse | 97 |
| abstract_inverted_index.in-situ | 13 |
| abstract_inverted_index.organic | 47 |
| abstract_inverted_index.regions | 98 |
| abstract_inverted_index.samples | 35 |
| abstract_inverted_index.sensors | 7, 84 |
| abstract_inverted_index.support | 60 |
| abstract_inverted_index.Portable | 0 |
| abstract_inverted_index.achieved | 54 |
| abstract_inverted_index.analyzed | 43 |
| abstract_inverted_index.classify | 24 |
| abstract_inverted_index.combined | 18 |
| abstract_inverted_index.findings | 78 |
| abstract_inverted_index.machines | 62 |
| abstract_inverted_index.salinity | 67 |
| abstract_inverted_index.seashore | 40, 75 |
| abstract_inverted_index.texture. | 50 |
| abstract_inverted_index.accuracy, | 58 |
| abstract_inverted_index.analysis. | 15 |
| abstract_inverted_index.efficient | 9 |
| abstract_inverted_index.highlight | 79 |
| abstract_inverted_index.potential | 81 |
| abstract_inverted_index.abandoned, | 38 |
| abstract_inverted_index.management | 69 |
| abstract_inverted_index.variations | 70 |
| abstract_inverted_index.Bangladesh. | 33 |
| abstract_inverted_index.Significant | 65 |
| abstract_inverted_index.monitoring, | 88 |
| abstract_inverted_index.sustainable | 86 |
| abstract_inverted_index.characterize | 28 |
| abstract_inverted_index.fluorescence | 2 |
| abstract_inverted_index.particularly | 73 |
| abstract_inverted_index.agricultural, | 37 |
| abstract_inverted_index.applicability | 95 |
| abstract_inverted_index.outperforming | 59 |
| abstract_inverted_index.classification | 57 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.66834407 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |