The purpose of integrated pest management (IPM) is to reduce the use of chemical pesticides while boosting the use of environmentally friendly farming techniques. Thorough monitoring and decision-making are critical to the effective implementation of IPM, and both can be enhanced by the use of Artificial Intelligence (AI). AI can analyze large amounts of data and make predictions based on historical patterns to help farmers control pests more effectively. In this article, we'll look at how artificial intelligence (AI) is employed in IPM and how it is helpful in adopting ecologically friendly farming practices. One of the most important applications of artificial intelligence (AI) in integrated pest control is pest monitoring and detection. Visible inspections and trapping are two typical but time-consuming ways of pest detection, however they are only based on subjective perceptions. By collecting data on insect numbers and behaviour, the integration of cameras and sensors in AI-based pest monitoring systems enables more precise and rapid identification of infestations. Furthermore, forecasting pest outbreaks and enhancing pest control are two other applications for AI. By analyzing data on insect populations, weather trends, and crop health, AI systems can foresee future pest outbreaks and advise on the most effective treatment techniques. In this context, several Artificial Intelligence (AI) tools offer greater potential than traditional integrated pest control methods, and so have the ability to revolutionize the existing pest management paradigm.
Integrated pest management (IPM), Artificial Intelligence (AI), ecologically friendly farming, pest management
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