@article{fdi:010080326,
  title = {{P}rototyping a knowledge-based system to identify botanical extracts for plant health in {S}ub-{S}aharan {A}frica},
  author = {{S}ilvie, {P}ierre and {M}artin, {P}. and {H}uchard, {M}. and {K}eip, {P}. and {G}utierrez, {A}. and {S}arter, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}eplacing 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 {A}frica could be culled from the large volume of knowledge available in the scientific literature. {T}o 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. {T}he present paper introduces this so-called {K}nomana {K}nowledge-{B}ased {S}ystem, while providing outputs related to {S}podoptera frugiperda and {T}uta absoluta, two invasive insect species in {A}frica. {I}n early {O}ctober 2020, the knowledge base hosted data obtained from 342 documents. {F}rom these articles, 11,816 uses -experimental or applied by farmers -were identified in the plant health field. {I}n total, 384 crop pest species are currently reported in the knowledge base, in addition to 1547 botanical species used for crop protection. {F}uture prospects for applying this interdisciplinary output to applications under the {O}ne {H}ealth approach are presented.},
  keywords = {{PROTECTION} {DES} {PLANTES} ; {MALADIE} {DES} {PLANTES} ; {LEPIDOPTERE} {RAVAGEUR} ; {INSECTICIDE} {BIOLOGIQUE} ; {BASE} {DE} {DONNEES} ; {SYSTEME} {EXPERT} ; {RECHERCHE} {PLURIDICISPLINAIRE} ; {BASE} {DE} {CONNAISSANCES} ; {AFRIQUE}},
  booktitle = {},
  journal = {{P}lants},
  volume = {10},
  numero = {5},
  pages = {896 [24 ]},
  ISSN = {2223-7747},
  year = {2021},
  DOI = {10.3390/plants10050896},
  URL = {https://www.documentation.ird.fr/hor/fdi:010080326},
}