AI-Driven Pest Management: IoT Insect Control System

The original patent disclosed methods for managing resistance to transgenic insecticidal traits and/or chemical insecticides using pheromones. However, these methods were limited in their ability to adapt to changing environmental and insect population conditions. The present invention addresses these limitations by incorporating IoT-enabled sensors to monitor insect populations, AI-driven data analysis to optimize pheromone release, and blockchain-based data management to track resistance development.

The present invention is novel in its integration of pheromone-based mating disruption with IoT-enabled sensors, AI-driven data analysis, and blockchain-based data management. The inventive step lies in the use of machine learning algorithms to optimize pheromone release and the incorporation of RNA interference technology to enhance the effectiveness of transgenic insecticidal traits.

Alternative embodiments of the invention may include the use of different types of sensors, such as drones or satellite imaging, to monitor insect populations. Additionally, the system may be adapted for use in different agricultural settings, such as greenhouses or indoor farming facilities.

The integrated pest management system has significant commercial potential in the agricultural industry, particularly in the areas of precision agriculture, sustainable farming practices, and integrated pest management. The system may be marketed to farmers, researchers, and agricultural companies seeking to reduce the environmental impact of pest control methods while improving crop yields.