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

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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
Other Authors:	International Centre of Insect Physiology and Ecology (icipe), P.O. Box 30772-00100, Nairobi, Kenya Norwegian Institute of Bioeconomy Research (NIBIO), Box 115, NO-1431 Ås, Norway
Format:	research article
Language:	English
Published:	Elsevier BV 2023
Subjects:	Analytics Dynamics Insect Monitoring Spatial Temporal
Online Access:	https://cris.library.msu.ac.zw//handle/11408/5498 https://doi.org/10.1016/j.gecco.2022.e02056
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Summary:	Abstract