Artificial Intelligence in Integrated Pest Management


Demirel M., Kumral N. A.

in: Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture, Pradeep Tomar,Gurjit Kaur, Editor, IGI GLOBAL, New Delhi, pp.289-313, 2021

  • Publication Type: Book Chapter / Chapter Vocational Book
  • Publication Date: 2021
  • Publisher: IGI GLOBAL
  • City: New Delhi
  • Page Numbers: pp.289-313
  • Editors: Pradeep Tomar,Gurjit Kaur, Editor

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.