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Modeling plant virus propagation with Filippov control

机译:利用Filippov控制建模植物病毒传播

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Plants play a vital role in the everyday life of all organisms on earth. This paper proposes a Filippov vector-borne plant disease model incorporating roguing of infected plants and spaying pesticides to relieve the economical devastation for growers and damage to humans, natural enemies and the environment. No control strategy is taken if the number of infected plants is less than an infected plant threshold level $I_{c}$ ; further, infected plants are removed once the number of infected plants exceeds $I_{c}$ ; meanwhile, pesticides are spayed if the number of infected vectors exceeds the infected vector threshold level $Y_{c}$ . The global dynamics for the proposed system is investigated. Model solutions ultimately stabilize at the positive equilibrium that lies in the region above $I_{c}$ , or on $I=I_{c}$ , or below $I_{c}$ , depending on the threshold values $I_{c}$ and $Y_{c}$ . The findings indicate that proper combinations of the infected plant and vector threshold values based on the threshold policy can maintain the number of infected plants either at a previously given level or below a certain threshold level.
机译:植物在地球上所有生物的日常生活中发挥着至关重要的作用。本文提出了一种融合植物盗的Filippov载体的植物疾病模型,并使杀虫剂的盗贼统治,以减轻种植者,天敌和环境损害的经济损失。如果感染的植物的数量小于受感染的植物阈值水平$ i_ {c} $;此外,一旦感染植物的数量超过$ i_ {c} $;同时,如果感染载体的数量超过受感染的载体阈值水平$ Y_ {C} $,则会喷洒杀虫剂。调查了拟议系统的全球动态。模型解决方案最终稳定在$ i_ {c} $以上的区域中的正平均衡,或在$ i = i_ {c} $,或低于$ i_ {c} $的情况下,具体取决于阈值$ i_ {c $和$ y_ {c} $。结果表明,基于阈值政策的受感染植物和载体阈值的适当组合可以在先前给出的水平或低于某个阈值水平的情况下维持感染植物的数量。

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