Intelligent agricultural monitoring system: Plant disease detection using AI, drones, and cloud computing technologies

Abstract

The present invention proposes an innovative and comprehensive system for detecting plant diseases on farms. This system relies on the advanced integration of several technologies to ensure effective, real-time monitoring of crop health. It utilizes drones equipped with high-resolution imaging sensors to capture detailed visual data on crops. These images are then analyzed by artificial intelligence (AI) algorithms capable of accurately identifying plant disease symptoms. Furthermore, IoT devices are used to collect complementary environmental data, thus enhancing diagnostic reliability. The collected information is transmitted to a cloud computing platform where it is processed and stored, enabling advanced analysis and centralized data access.Thanks to this intelligent architecture, the system enables early detection of pathologies, rapid intervention and optimization of crop management strategies, thus contributing to a significant improvement in agricultural yield and a reduction in losses related to plant diseases.