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https://doi.org/10.1063/5.0023...
Article . 2020 . Peer-reviewed
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The optimal control of rice tungro disease with insecticide and biological agent

Authors: W. Suryaningrat; N. Anggriani; A. K. Supriatna; N. Istifadah;

The optimal control of rice tungro disease with insecticide and biological agent

Abstract

One of the serious diseases in rice agriculture, tungro, could reduce rice quality and production extremely. Tungro virus transmitted by green leafhoppers which is the most efficient vector for spread. In this paper, we propose a mathematical model of the vector-borne rice tungro disease considering predator-prey interaction between green leafhoppers and frog. Our purpose is to investigate the effect of biological agents in the spread of diseases. We also consider insecticide usage and its effect on the system. Using the theory of the dynamical system, we examine the existence of equilibrium points. Furthermore, an optimal control strategy that suppresses the spread is proposed. We run the numerical simulation to illustrate the analytical result above.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
bronze