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Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa

Replacing synthetic pesticides and antimicrobials with plant-based extracts is a current alternative adopted by traditional and family farmers and many organic farming pioneers. A range of natural extracts are already being marketed for agricultural use, but many other plants are prepared and used e...

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Autores principales: Silvie, Pierre J., Martin, Pierre, Huchard, Marianne, Keip, Priscilla, Gutierrez, Alain, Sarter, Samira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8146496/
https://www.ncbi.nlm.nih.gov/pubmed/33946682
http://dx.doi.org/10.3390/plants10050896
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author Silvie, Pierre J.
Martin, Pierre
Huchard, Marianne
Keip, Priscilla
Gutierrez, Alain
Sarter, Samira
author_facet Silvie, Pierre J.
Martin, Pierre
Huchard, Marianne
Keip, Priscilla
Gutierrez, Alain
Sarter, Samira
author_sort Silvie, Pierre J.
collection PubMed
description Replacing synthetic pesticides and antimicrobials with plant-based extracts is a current alternative adopted by traditional and family farmers and many organic farming pioneers. A range of natural extracts are already being marketed for agricultural use, but many other plants are prepared and used empirically. A further range of plant species that could be effective in protecting different crops against pests and diseases in Africa could be culled from the large volume of knowledge available in the scientific literature. To meet this challenge, data on plant uses have been compiled in a knowledge base and a software prototype was developed to navigate this trove of information. The present paper introduces this so-called Knomana Knowledge-Based System, while providing outputs related to Spodoptera frugiperda and Tuta absoluta, two invasive insect species in Africa. In early October 2020, the knowledge base hosted data obtained from 342 documents. From these articles, 11,816 uses—experimental or applied by farmers—were identified in the plant health field. In total, 384 crop pest species are currently reported in the knowledge base, in addition to 1547 botanical species used for crop protection. Future prospects for applying this interdisciplinary output to applications under the One Health approach are presented.
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spelling pubmed-81464962021-05-26 Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa Silvie, Pierre J. Martin, Pierre Huchard, Marianne Keip, Priscilla Gutierrez, Alain Sarter, Samira Plants (Basel) Review Replacing synthetic pesticides and antimicrobials with plant-based extracts is a current alternative adopted by traditional and family farmers and many organic farming pioneers. A range of natural extracts are already being marketed for agricultural use, but many other plants are prepared and used empirically. A further range of plant species that could be effective in protecting different crops against pests and diseases in Africa could be culled from the large volume of knowledge available in the scientific literature. To meet this challenge, data on plant uses have been compiled in a knowledge base and a software prototype was developed to navigate this trove of information. The present paper introduces this so-called Knomana Knowledge-Based System, while providing outputs related to Spodoptera frugiperda and Tuta absoluta, two invasive insect species in Africa. In early October 2020, the knowledge base hosted data obtained from 342 documents. From these articles, 11,816 uses—experimental or applied by farmers—were identified in the plant health field. In total, 384 crop pest species are currently reported in the knowledge base, in addition to 1547 botanical species used for crop protection. Future prospects for applying this interdisciplinary output to applications under the One Health approach are presented. MDPI 2021-04-29 /pmc/articles/PMC8146496/ /pubmed/33946682 http://dx.doi.org/10.3390/plants10050896 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Silvie, Pierre J.
Martin, Pierre
Huchard, Marianne
Keip, Priscilla
Gutierrez, Alain
Sarter, Samira
Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa
title Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa
title_full Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa
title_fullStr Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa
title_full_unstemmed Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa
title_short Prototyping a Knowledge-Based System to Identify Botanical Extracts for Plant Health in Sub-Saharan Africa
title_sort prototyping a knowledge-based system to identify botanical extracts for plant health in sub-saharan africa
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8146496/
https://www.ncbi.nlm.nih.gov/pubmed/33946682
http://dx.doi.org/10.3390/plants10050896
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