Harnessing data science to improve integrated management of invasive pest species across Africa: An application to Fall armyworm (Spodoptera frugiperda) (J.E. Smith) (Lepidoptera: Noctuidae)

Harnessing data science to improve integrated management of invasive pest species across Africa: An application to Fall armyworm (Spodoptera frugiperda) (J.E. Smith) (Lepidoptera: Noctuidae)

After five years of its first report on the African continent, Fall armyworm (FAW), Spodoptera frugiperda (J.E. Smith) is considered a major threat to maize, sorghum, and millet production in sub-Saharan Africa. Despite the rigorous work already conducted to reduce FAW prevalence, the dynamics and i...

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Bibliographic Details
Main Authors: Ritter A. Guimapi, Saliou Niassy, Bester Tawona Mudereri, Elfatih M. Abdel-Rahman, Ghislain T. Tepa-Yotto, Sevgan Subramanian, Samira A. Mohamed, Karl H. Thunes, Emily Kimathi, Komi Mensah Agboka, Manuele Tamò, Jean Claude Rwaburindi, Buyung Hadi, Maged Elkahky, May-Guri Sæthre, Yeneneh Belayneh, Sunday Ekesi, Segenet Kelemu, Henri E.Z. Tonnang
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Global Ecology and Conservation
Subjects:
Analytics
Dynamics
Insect
Monitoring
Spatial
Temporal
Online Access:http://www.sciencedirect.com/science/article/pii/S2351989422000580

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http://www.sciencedirect.com/science/article/pii/S2351989422000580

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