Publication:
Artificial intelligence in integrated pest management

dc.contributor.authorDemirel M.
dc.contributor.authorKumral N.A.
dc.contributor.buuauthorKUMRAL, NABİ ALPER
dc.contributor.buuauthorDemirel, Mert
dc.contributor.departmentEntomoloji Ana Bilim Dalı
dc.contributor.departmentZiraat Fakültesi
dc.contributor.orcid0000-0001-9442-483X
dc.contributor.scopusid 57215409617
dc.contributor.scopusid15846048400
dc.date.accessioned2025-05-13T06:54:27Z
dc.date.issued2021-01-08
dc.description.abstractClimate change, the increase in the international exchange of infested materials, and pest control problems cause unpredictable pest outbreaks faced by farmers. To overcome these problems, a sustainable pest control tactic, integrated pest management (IPM), which is providing the effective use of natural resources, is needed. IPM is an ecologically based control management strategy that considers all factors (i.e., natural enemies, economic thresholds, plant susceptibility and breeding factors, pest biology, and climatic conditions). In IPM, expert staff constitutes the essential element. The expert plays a role in system design, monitoring ecological factors, and decision-making mechanisms. For sustainable pest management, it is possible to perform the routine processes such as monitoring biological and environmental components and choosing the appropriate time and method through artificial intelligence. In this chapter, the use of artificial intelligence in IPM and information about algorithms, tools, methods used in artificial intelligence will be explained.
dc.identifier.doi10.4018/978-1-7998-1722-2.ch018
dc.identifier.endpage 313
dc.identifier.isbn[9781799817246, 9781799817222]
dc.identifier.scopus2-s2.0-85128096760
dc.identifier.startpage289
dc.identifier.urihttps://hdl.handle.net/11452/51893
dc.indexed.scopusScopus
dc.language.isoen
dc.publisherIGI Global
dc.relation.journalArtificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subject.scopus Artificial Intelligence; Deep Learning; Forestry
dc.titleArtificial intelligence in integrated pest management
dc.typeBook Chapter
dspace.entity.typePublication
relation.isAuthorOfPublicationa8fa32b9-4166-42e6-98ff-24c2246fa573
relation.isAuthorOfPublication.latestForDiscoverya8fa32b9-4166-42e6-98ff-24c2246fa573

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