Intelligent paddy leaf disease detection and automated pesticide spraying using AI and IoT

Key Points

• To evaluate the effectiveness of artificial intelligence and IoT for disease detection and automated pesticide application on paddy leaves.
• Designed an AI-based system for real-time disease detection in paddy leaves.
• Implemented IoT devices for automated pesticide spraying based on detected diseases.
• Conducted a randomized trial to assess the impact on paddy crop health.
• Achieved over 90% accuracy in disease detection with the AI system (p<0.01).
• Reduced pesticide usage by 30% through targeted spraying compared to traditional methods (p<0.05).
• Improved overall crop yield by 20% in the treated group during the trial period (p<0.01).

Abstract