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1 Ergebnisse
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Analysis and Optimal Control of the Tungro Virus Disease Sp..:
Rika Amelia
;
Nursanti Anggriani
;
Asep K. Supriatna
.
https://www.mdpi.com/2227-7390/11/5/1151. , 2023
Link:
https://doi.org/10.3390/math11051151
RT Journal T1 <Title>Analysis and Optimal Control of the Tungro Virus Disease Spread Model in Rice Plants by Considering the Characteristics of the Virus, Roguing, and Pesticides</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:8bf5b5dbac3a452d81e8e0e56f52f412&Exemplar=1&LAN=DE A1 Rika Amelia A1 Nursanti Anggriani A1 Asep K. Supriatna A1 Noor Istifadah PB MDPI AG YR 2023 K1 tungro disease K1 roguing K1 pesticides K1 virus characteristics K1 dynamic analysis K1 sensitivity analysis K1 Mathematics K1 QA1-939 JF https://www.mdpi.com/2227-7390/11/5/1151 LK http://dx.doi.org/https://doi.org/10.3390/math11051151 DO https://doi.org/10.3390/math11051151 SF ELIB - SuUB Bremen
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