Farming awareness based optimum interventions for crop pest control
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Texto Completo: | http://hdl.handle.net/10773/31477 |
Resumo: | We develop a mathematical model, based on a system of ordinary differential equations, to the upshot of farming alertness in crop pest administration, bearing in mind plant biomass, pest, and level of control. Main qualitative analysis of the proposed mathematical model, akin to both pest-free and coexistence equilibrium points and stability analysis, is investigated. We show that all solutions of the model are positive and bounded with initial conditions in a certain significant set. The local stability of pest-free and coexistence equilibria is shown using the Routh–Hurwitz criterion. Moreover, we prove that when a threshold value is less than one, then the pest-free equilibrium is locally asymptotically stable. To get optimum interventions for crop pests, that is, to decrease the number of pests in the crop field, we apply optimal control theory and find the corresponding optimal controls. We establish existence of optimal controls and characterize them using Pontryagin's minimum principle. Finally, we make use of numerical simulations to illustrate the theoretical analysis of the proposed model, with and without control measures. |
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Farming awareness based optimum interventions for crop pest controlMathematical modeling of ecological systemsHolling type-II functional responseStabilityHopf-bifurcationOptimal controlPontryagin's minimum principleNumerical simulationsWe develop a mathematical model, based on a system of ordinary differential equations, to the upshot of farming alertness in crop pest administration, bearing in mind plant biomass, pest, and level of control. Main qualitative analysis of the proposed mathematical model, akin to both pest-free and coexistence equilibrium points and stability analysis, is investigated. We show that all solutions of the model are positive and bounded with initial conditions in a certain significant set. The local stability of pest-free and coexistence equilibria is shown using the Routh–Hurwitz criterion. Moreover, we prove that when a threshold value is less than one, then the pest-free equilibrium is locally asymptotically stable. To get optimum interventions for crop pests, that is, to decrease the number of pests in the crop field, we apply optimal control theory and find the corresponding optimal controls. We establish existence of optimal controls and characterize them using Pontryagin's minimum principle. Finally, we make use of numerical simulations to illustrate the theoretical analysis of the proposed model, with and without control measures.AIMS Press2021-06-18T17:29:12Z2021-01-01T00:00:00Z2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/31477eng1551-001810.3934/mbe.2021272Abraha, TeklebirhanAl Basir, FahadObsu, Legesse LemechaTorres, Delfim F. M.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-06T04:32:09Zoai:ria.ua.pt:10773/31477Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:11:42.303388Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Farming awareness based optimum interventions for crop pest control |
title |
Farming awareness based optimum interventions for crop pest control |
spellingShingle |
Farming awareness based optimum interventions for crop pest control Abraha, Teklebirhan Mathematical modeling of ecological systems Holling type-II functional response Stability Hopf-bifurcation Optimal control Pontryagin's minimum principle Numerical simulations |
title_short |
Farming awareness based optimum interventions for crop pest control |
title_full |
Farming awareness based optimum interventions for crop pest control |
title_fullStr |
Farming awareness based optimum interventions for crop pest control |
title_full_unstemmed |
Farming awareness based optimum interventions for crop pest control |
title_sort |
Farming awareness based optimum interventions for crop pest control |
author |
Abraha, Teklebirhan |
author_facet |
Abraha, Teklebirhan Al Basir, Fahad Obsu, Legesse Lemecha Torres, Delfim F. M. |
author_role |
author |
author2 |
Al Basir, Fahad Obsu, Legesse Lemecha Torres, Delfim F. M. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Abraha, Teklebirhan Al Basir, Fahad Obsu, Legesse Lemecha Torres, Delfim F. M. |
dc.subject.por.fl_str_mv |
Mathematical modeling of ecological systems Holling type-II functional response Stability Hopf-bifurcation Optimal control Pontryagin's minimum principle Numerical simulations |
topic |
Mathematical modeling of ecological systems Holling type-II functional response Stability Hopf-bifurcation Optimal control Pontryagin's minimum principle Numerical simulations |
description |
We develop a mathematical model, based on a system of ordinary differential equations, to the upshot of farming alertness in crop pest administration, bearing in mind plant biomass, pest, and level of control. Main qualitative analysis of the proposed mathematical model, akin to both pest-free and coexistence equilibrium points and stability analysis, is investigated. We show that all solutions of the model are positive and bounded with initial conditions in a certain significant set. The local stability of pest-free and coexistence equilibria is shown using the Routh–Hurwitz criterion. Moreover, we prove that when a threshold value is less than one, then the pest-free equilibrium is locally asymptotically stable. To get optimum interventions for crop pests, that is, to decrease the number of pests in the crop field, we apply optimal control theory and find the corresponding optimal controls. We establish existence of optimal controls and characterize them using Pontryagin's minimum principle. Finally, we make use of numerical simulations to illustrate the theoretical analysis of the proposed model, with and without control measures. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-18T17:29:12Z 2021-01-01T00:00:00Z 2021 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/31477 |
url |
http://hdl.handle.net/10773/31477 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1551-0018 10.3934/mbe.2021272 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
AIMS Press |
publisher.none.fl_str_mv |
AIMS Press |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
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1833594386483511296 |