Application of Artificial Intelligence (AI) Tools in Integrated Pest Management (IPM) - An Insect - Plant Interaction Perspective

S Prem Mathi Maran*

Director, G.S. Gill Research Institute, Guru Nanak College, Guru Nanak Salai, Velachery, Chennai, India

*Corresponding Author: S Prem Mathi Maran, Director, G.S. Gill Research Institute, Guru Nanak College, Guru Nanak Salai, Velachery, Chennai, India.

Received: November 30, 2021; Published: December 10, 2021

Abstract

Integrated Pest Management (IPM), is a safe and eco friendly pest control strategy, which is in practice for the past three decades. Utilization of semiochemicals and insect plant interaction processes in IPM is a topic of research now a day. In this current concept report, which is based on the available evidences that uses the semiochemicals for IPM, the author explains the potential use of sensors, artificial intelligence (AI) and Machine Learning (ML) procedures, which can be integrated in the modern agriculture for IPM measures. A workable model of AI and ML is explained in Push-Pull strategy of IPM.

 

Keywords: Integrated Pest Management; Semiochemicals; Infochemicals; Insect Plant Interaction; Olfactory System; Molecular Model; Biosensors; Nano Sensors; Artificial Intelligence; Machine Learning

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Citation

Citation: S Prem Mathi Maran. “Application of Artificial Intelligence (AI) Tools in Integrated Pest Management (IPM) - An Insect - Plant Interaction Perspective". Acta Scientific Agriculture 6.1 (2022): 11-16.

Copyright

Copyright: © 2022 S Prem Mathi Maran. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.