ProtectLeaf: An insect predation analyzer for agricultural crop monitoring Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.softx.2023.101537
Agricultural production positively impacts the global economy and is crucial in delivering supplies and maintaining life. However, predatory insects are estimated to have a significant productivity impact on agricultural fields. As the excessive incidence of insects can reduce the functionality of the leaf surface, limitations can be noticed in the capability of the plants to maintain energy, which reduces the growth of grains and fruits. Therefore, leaf analysis is an essential tool in monitoring plantations, helping producers make decisions to control agricultural pests. Thus, we present ProtectLeaf, a software designed to support crop monitoring activities and decision-making in agricultural environments through defoliation estimate, detection of insect predation on plant leaves, and leaf reconstruction.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.softx.2023.101537
- OA Status
- gold
- Cited By
- 3
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387468783
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4387468783Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.softx.2023.101537Digital Object Identifier
- Title
-
ProtectLeaf: An insect predation analyzer for agricultural crop monitoringWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-09Full publication date if available
- Authors
-
Gabriel da Silva Vieira, Afonso U. Fonseca, Júlio César Ferreira, Fabrízzio SoaresList of authors in order
- Landing page
-
https://doi.org/10.1016/j.softx.2023.101537Publisher 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.softx.2023.101537Direct OA link when available
- Concepts
-
Agriculture, Predation, Agricultural productivity, Crop, Productivity, Crop productivity, Agroforestry, Agricultural engineering, Agronomy, Ecology, Biology, Engineering, Economics, MacroeconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
28Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4387468783 |
|---|---|
| doi | https://doi.org/10.1016/j.softx.2023.101537 |
| ids.doi | https://doi.org/10.1016/j.softx.2023.101537 |
| ids.openalex | https://openalex.org/W4387468783 |
| fwci | 0.7925407 |
| type | article |
| title | ProtectLeaf: An insect predation analyzer for agricultural crop monitoring |
| biblio.issue | |
| biblio.volume | 24 |
| biblio.last_page | 101537 |
| biblio.first_page | 101537 |
| grants[0].funder | https://openalex.org/F4320321091 |
| grants[0].award_id | |
| grants[0].funder_display_name | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior |
| grants[1].funder | https://openalex.org/F4320323404 |
| grants[1].award_id | |
| grants[1].funder_display_name | Universidade Federal de Goiás |
| grants[2].funder | https://openalex.org/F4320330430 |
| grants[2].award_id | |
| grants[2].funder_display_name | Instituto Federal Goiás |
| topics[0].id | https://openalex.org/T10616 |
| topics[0].field.id | https://openalex.org/fields/11 |
| topics[0].field.display_name | Agricultural and Biological Sciences |
| topics[0].score | 0.9994999766349792 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1110 |
| topics[0].subfield.display_name | Plant Science |
| topics[0].display_name | Smart Agriculture and AI |
| topics[1].id | https://openalex.org/T14365 |
| topics[1].field.id | https://openalex.org/fields/11 |
| topics[1].field.display_name | Agricultural and Biological Sciences |
| topics[1].score | 0.9980000257492065 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1110 |
| topics[1].subfield.display_name | Plant Science |
| topics[1].display_name | Leaf Properties and Growth Measurement |
| topics[2].id | https://openalex.org/T10111 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.9979000091552734 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2303 |
| topics[2].subfield.display_name | Ecology |
| topics[2].display_name | Remote Sensing in Agriculture |
| funders[0].id | https://openalex.org/F4320321091 |
| funders[0].ror | https://ror.org/00x0ma614 |
| funders[0].display_name | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior |
| funders[1].id | https://openalex.org/F4320323404 |
| funders[1].ror | https://ror.org/0039d5757 |
| funders[1].display_name | Universidade Federal de Goiás |
| funders[2].id | https://openalex.org/F4320330430 |
| funders[2].ror | https://ror.org/03gq9pd80 |
| funders[2].display_name | Instituto Federal Goiás |
| is_xpac | False |
| apc_list.value | 500 |
| apc_list.currency | USD |
| apc_list.value_usd | 500 |
| apc_paid.value | 500 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 500 |
| concepts[0].id | https://openalex.org/C118518473 |
| concepts[0].level | 2 |
| concepts[0].score | 0.759732186794281 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q11451 |
| concepts[0].display_name | Agriculture |
| concepts[1].id | https://openalex.org/C188382862 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7351884841918945 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q170430 |
| concepts[1].display_name | Predation |
| concepts[2].id | https://openalex.org/C128383755 |
| concepts[2].level | 3 |
| concepts[2].score | 0.6168708801269531 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q3816336 |
| concepts[2].display_name | Agricultural productivity |
| concepts[3].id | https://openalex.org/C137580998 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5544264316558838 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q235352 |
| concepts[3].display_name | Crop |
| concepts[4].id | https://openalex.org/C204983608 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5243884921073914 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q2111958 |
| concepts[4].display_name | Productivity |
| concepts[5].id | https://openalex.org/C2993120057 |
| concepts[5].level | 3 |
| concepts[5].score | 0.5049951672554016 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q3816336 |
| concepts[5].display_name | Crop productivity |
| concepts[6].id | https://openalex.org/C54286561 |
| concepts[6].level | 1 |
| concepts[6].score | 0.40911173820495605 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q397350 |
| concepts[6].display_name | Agroforestry |
| concepts[7].id | https://openalex.org/C88463610 |
| concepts[7].level | 1 |
| concepts[7].score | 0.38871365785598755 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q194118 |
| concepts[7].display_name | Agricultural engineering |
| concepts[8].id | https://openalex.org/C6557445 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3166213631629944 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q173113 |
| concepts[8].display_name | Agronomy |
| concepts[9].id | https://openalex.org/C18903297 |
| concepts[9].level | 1 |
| concepts[9].score | 0.29147714376449585 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q7150 |
| concepts[9].display_name | Ecology |
| concepts[10].id | https://openalex.org/C86803240 |
| concepts[10].level | 0 |
| concepts[10].score | 0.2895500063896179 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[10].display_name | Biology |
| concepts[11].id | https://openalex.org/C127413603 |
| concepts[11].level | 0 |
| concepts[11].score | 0.07012659311294556 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[11].display_name | Engineering |
| concepts[12].id | https://openalex.org/C162324750 |
| concepts[12].level | 0 |
| concepts[12].score | 0.06090027093887329 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[12].display_name | Economics |
| concepts[13].id | https://openalex.org/C139719470 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q39680 |
| concepts[13].display_name | Macroeconomics |
| keywords[0].id | https://openalex.org/keywords/agriculture |
| keywords[0].score | 0.759732186794281 |
| keywords[0].display_name | Agriculture |
| keywords[1].id | https://openalex.org/keywords/predation |
| keywords[1].score | 0.7351884841918945 |
| keywords[1].display_name | Predation |
| keywords[2].id | https://openalex.org/keywords/agricultural-productivity |
| keywords[2].score | 0.6168708801269531 |
| keywords[2].display_name | Agricultural productivity |
| keywords[3].id | https://openalex.org/keywords/crop |
| keywords[3].score | 0.5544264316558838 |
| keywords[3].display_name | Crop |
| keywords[4].id | https://openalex.org/keywords/productivity |
| keywords[4].score | 0.5243884921073914 |
| keywords[4].display_name | Productivity |
| keywords[5].id | https://openalex.org/keywords/crop-productivity |
| keywords[5].score | 0.5049951672554016 |
| keywords[5].display_name | Crop productivity |
| keywords[6].id | https://openalex.org/keywords/agroforestry |
| keywords[6].score | 0.40911173820495605 |
| keywords[6].display_name | Agroforestry |
| keywords[7].id | https://openalex.org/keywords/agricultural-engineering |
| keywords[7].score | 0.38871365785598755 |
| keywords[7].display_name | Agricultural engineering |
| keywords[8].id | https://openalex.org/keywords/agronomy |
| keywords[8].score | 0.3166213631629944 |
| keywords[8].display_name | Agronomy |
| keywords[9].id | https://openalex.org/keywords/ecology |
| keywords[9].score | 0.29147714376449585 |
| keywords[9].display_name | Ecology |
| keywords[10].id | https://openalex.org/keywords/biology |
| keywords[10].score | 0.2895500063896179 |
| keywords[10].display_name | Biology |
| keywords[11].id | https://openalex.org/keywords/engineering |
| keywords[11].score | 0.07012659311294556 |
| keywords[11].display_name | Engineering |
| keywords[12].id | https://openalex.org/keywords/economics |
| keywords[12].score | 0.06090027093887329 |
| keywords[12].display_name | Economics |
| language | en |
| locations[0].id | doi:10.1016/j.softx.2023.101537 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2506067282 |
| locations[0].source.issn | 2352-7110 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2352-7110 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | SoftwareX |
| 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].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 | SoftwareX |
| locations[0].landing_page_url | https://doi.org/10.1016/j.softx.2023.101537 |
| locations[1].id | pmh:oai:doaj.org/article:efa6f877dddc40a8bcf29a7afeb9a9be |
| 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].source.host_organization_lineage | |
| 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 | SoftwareX, Vol 24, Iss , Pp 101537- (2023) |
| locations[1].landing_page_url | https://doaj.org/article/efa6f877dddc40a8bcf29a7afeb9a9be |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5025649736 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-6976-7811 |
| authorships[0].author.display_name | Gabriel da Silva Vieira |
| authorships[0].countries | BR |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I3020668385 |
| authorships[0].affiliations[0].raw_affiliation_string | Federal Institute Goiano, Computer Vision Lab, Urutaí, 75790-000, GO, Brazil |
| authorships[0].institutions[0].id | https://openalex.org/I3020668385 |
| authorships[0].institutions[0].ror | https://ror.org/0036c6m19 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I3020668385 |
| authorships[0].institutions[0].country_code | BR |
| authorships[0].institutions[0].display_name | Instituto Federal Goiano |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Gabriel S. Vieira |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Federal Institute Goiano, Computer Vision Lab, Urutaí, 75790-000, GO, Brazil |
| authorships[1].author.id | https://openalex.org/A5076407645 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-5517-2051 |
| authorships[1].author.display_name | Afonso U. Fonseca |
| authorships[1].countries | BR |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I68106152 |
| authorships[1].affiliations[0].raw_affiliation_string | Federal University of Goias, Institute of Informatics, Goiânia, 74690-900, GO, Brazil |
| authorships[1].institutions[0].id | https://openalex.org/I68106152 |
| authorships[1].institutions[0].ror | https://ror.org/0039d5757 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I68106152 |
| authorships[1].institutions[0].country_code | BR |
| authorships[1].institutions[0].display_name | Universidade Federal de Goiás |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Afonso U. Fonseca |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | Federal University of Goias, Institute of Informatics, Goiânia, 74690-900, GO, Brazil |
| authorships[2].author.id | https://openalex.org/A5059290046 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-5373-1294 |
| authorships[2].author.display_name | Júlio César Ferreira |
| authorships[2].countries | BR |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I3020668385 |
| authorships[2].affiliations[0].raw_affiliation_string | Federal Institute Goiano, Computer Vision Lab, Urutaí, 75790-000, GO, Brazil |
| authorships[2].institutions[0].id | https://openalex.org/I3020668385 |
| authorships[2].institutions[0].ror | https://ror.org/0036c6m19 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I3020668385 |
| authorships[2].institutions[0].country_code | BR |
| authorships[2].institutions[0].display_name | Instituto Federal Goiano |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Julio C. Ferreira |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | Federal Institute Goiano, Computer Vision Lab, Urutaí, 75790-000, GO, Brazil |
| authorships[3].author.id | https://openalex.org/A5039357068 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-1598-1377 |
| authorships[3].author.display_name | Fabrízzio Soares |
| authorships[3].countries | BR |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I68106152 |
| authorships[3].affiliations[0].raw_affiliation_string | Federal University of Goias, Institute of Informatics, Goiânia, 74690-900, GO, Brazil |
| authorships[3].institutions[0].id | https://openalex.org/I68106152 |
| authorships[3].institutions[0].ror | https://ror.org/0039d5757 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I68106152 |
| authorships[3].institutions[0].country_code | BR |
| authorships[3].institutions[0].display_name | Universidade Federal de Goiás |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Fabrizzio Soares |
| authorships[3].is_corresponding | True |
| authorships[3].raw_affiliation_strings | Federal University of Goias, Institute of Informatics, Goiânia, 74690-900, GO, Brazil |
| 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.softx.2023.101537 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | ProtectLeaf: An insect predation analyzer for agricultural crop monitoring |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10616 |
| primary_topic.field.id | https://openalex.org/fields/11 |
| primary_topic.field.display_name | Agricultural and Biological Sciences |
| primary_topic.score | 0.9994999766349792 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1110 |
| primary_topic.subfield.display_name | Plant Science |
| primary_topic.display_name | Smart Agriculture and AI |
| related_works | https://openalex.org/W2431956656, https://openalex.org/W2115185993, https://openalex.org/W2564087297, https://openalex.org/W2386342922, https://openalex.org/W2355350622, https://openalex.org/W1494973677, https://openalex.org/W3082362670, https://openalex.org/W4392859649, https://openalex.org/W569577523, https://openalex.org/W1995667166 |
| cited_by_count | 3 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1016/j.softx.2023.101537 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2506067282 |
| best_oa_location.source.issn | 2352-7110 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2352-7110 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | SoftwareX |
| 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.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 | SoftwareX |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.softx.2023.101537 |
| primary_location.id | doi:10.1016/j.softx.2023.101537 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2506067282 |
| primary_location.source.issn | 2352-7110 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2352-7110 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | SoftwareX |
| 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.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 | SoftwareX |
| primary_location.landing_page_url | https://doi.org/10.1016/j.softx.2023.101537 |
| publication_date | 2023-10-09 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W4225717325, https://openalex.org/W3005548849, https://openalex.org/W4283270435, https://openalex.org/W2902012839, https://openalex.org/W4282979224, https://openalex.org/W6740151397, https://openalex.org/W2521164240, https://openalex.org/W3157449901, https://openalex.org/W6644516206, https://openalex.org/W2116069931, https://openalex.org/W6749409781, https://openalex.org/W2124113591, https://openalex.org/W4214496279, https://openalex.org/W4223636085, https://openalex.org/W3200162333, https://openalex.org/W4308445934, https://openalex.org/W3120522877, https://openalex.org/W2473156356, https://openalex.org/W1991563031, https://openalex.org/W2133665775, https://openalex.org/W2180372570, https://openalex.org/W2617703913, https://openalex.org/W6767652952, https://openalex.org/W3127708089, https://openalex.org/W327335560, https://openalex.org/W4285719576, https://openalex.org/W2775293244, https://openalex.org/W4286855256 |
| referenced_works_count | 28 |
| abstract_inverted_index.a | 23, 87 |
| abstract_inverted_index.As | 30 |
| abstract_inverted_index.an | 69 |
| abstract_inverted_index.be | 46 |
| abstract_inverted_index.in | 10, 48, 72, 97 |
| abstract_inverted_index.is | 8, 68 |
| abstract_inverted_index.of | 34, 40, 51, 61, 104 |
| abstract_inverted_index.on | 27, 107 |
| abstract_inverted_index.to | 21, 54, 79, 90 |
| abstract_inverted_index.we | 84 |
| abstract_inverted_index.and | 7, 13, 63, 95, 110 |
| abstract_inverted_index.are | 19 |
| abstract_inverted_index.can | 36, 45 |
| abstract_inverted_index.the | 4, 31, 38, 41, 49, 52, 59 |
| abstract_inverted_index.crop | 92 |
| abstract_inverted_index.have | 22 |
| abstract_inverted_index.leaf | 42, 66, 111 |
| abstract_inverted_index.make | 77 |
| abstract_inverted_index.tool | 71 |
| abstract_inverted_index.Thus, | 83 |
| abstract_inverted_index.life. | 15 |
| abstract_inverted_index.plant | 108 |
| abstract_inverted_index.which | 57 |
| abstract_inverted_index.global | 5 |
| abstract_inverted_index.grains | 62 |
| abstract_inverted_index.growth | 60 |
| abstract_inverted_index.impact | 26 |
| abstract_inverted_index.insect | 105 |
| abstract_inverted_index.pests. | 82 |
| abstract_inverted_index.plants | 53 |
| abstract_inverted_index.reduce | 37 |
| abstract_inverted_index.control | 80 |
| abstract_inverted_index.crucial | 9 |
| abstract_inverted_index.economy | 6 |
| abstract_inverted_index.energy, | 56 |
| abstract_inverted_index.fields. | 29 |
| abstract_inverted_index.fruits. | 64 |
| abstract_inverted_index.helping | 75 |
| abstract_inverted_index.impacts | 3 |
| abstract_inverted_index.insects | 18, 35 |
| abstract_inverted_index.leaves, | 109 |
| abstract_inverted_index.noticed | 47 |
| abstract_inverted_index.present | 85 |
| abstract_inverted_index.reduces | 58 |
| abstract_inverted_index.support | 91 |
| abstract_inverted_index.through | 100 |
| abstract_inverted_index.However, | 16 |
| abstract_inverted_index.analysis | 67 |
| abstract_inverted_index.designed | 89 |
| abstract_inverted_index.maintain | 55 |
| abstract_inverted_index.software | 88 |
| abstract_inverted_index.supplies | 12 |
| abstract_inverted_index.surface, | 43 |
| abstract_inverted_index.decisions | 78 |
| abstract_inverted_index.detection | 103 |
| abstract_inverted_index.essential | 70 |
| abstract_inverted_index.estimate, | 102 |
| abstract_inverted_index.estimated | 20 |
| abstract_inverted_index.excessive | 32 |
| abstract_inverted_index.incidence | 33 |
| abstract_inverted_index.predation | 106 |
| abstract_inverted_index.predatory | 17 |
| abstract_inverted_index.producers | 76 |
| abstract_inverted_index.Therefore, | 65 |
| abstract_inverted_index.activities | 94 |
| abstract_inverted_index.capability | 50 |
| abstract_inverted_index.delivering | 11 |
| abstract_inverted_index.monitoring | 73, 93 |
| abstract_inverted_index.positively | 2 |
| abstract_inverted_index.production | 1 |
| abstract_inverted_index.defoliation | 101 |
| abstract_inverted_index.limitations | 44 |
| abstract_inverted_index.maintaining | 14 |
| abstract_inverted_index.significant | 24 |
| abstract_inverted_index.Agricultural | 0 |
| abstract_inverted_index.ProtectLeaf, | 86 |
| abstract_inverted_index.agricultural | 28, 81, 98 |
| abstract_inverted_index.environments | 99 |
| abstract_inverted_index.plantations, | 74 |
| abstract_inverted_index.productivity | 25 |
| abstract_inverted_index.functionality | 39 |
| abstract_inverted_index.decision-making | 96 |
| abstract_inverted_index.reconstruction. | 112 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5076407645, https://openalex.org/A5039357068, https://openalex.org/A5025649736, https://openalex.org/A5059290046 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I3020668385, https://openalex.org/I68106152 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.6499999761581421 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.86041676 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |