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Artificial Intelligence in Integrated Pest Management

Artificial Intelligence in Integrated Pest Management

Mert Demirel, Nabi Alper Kumral
Copyright: © 2021 |Pages: 25
ISBN13: 9781799817222|ISBN10: 1799817229|ISBN13 Softcover: 9781799817239|EISBN13: 9781799817246
DOI: 10.4018/978-1-7998-1722-2.ch018
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MLA

Demirel, Mert, and Nabi Alper Kumral. "Artificial Intelligence in Integrated Pest Management." Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture, edited by Pradeep Tomar and Gurjit Kaur, IGI Global, 2021, pp. 289-313. https://doi.org/10.4018/978-1-7998-1722-2.ch018

APA

Demirel, M. & Kumral, N. A. (2021). Artificial Intelligence in Integrated Pest Management. In P. Tomar & G. Kaur (Eds.), Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture (pp. 289-313). IGI Global. https://doi.org/10.4018/978-1-7998-1722-2.ch018

Chicago

Demirel, Mert, and Nabi Alper Kumral. "Artificial Intelligence in Integrated Pest Management." In Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture, edited by Pradeep Tomar and Gurjit Kaur, 289-313. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-1722-2.ch018

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Abstract

Climate 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.

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