Smart System for Early Detection of Agricultural Plant Diseases in the Vegetation Period

The abstract introduces a smart system designed to detect agricultural plant diseases during the vegetation period. The system aims to enable early detection and intervention, contributing to enhanced crop health and yield. Leveraging advanced technologies such as remote sensing, machine learning, and data analysis, the system monitors key indicators of plant health, including leaf color, texture, and growth patterns. It compares real-time data with predefined disease profiles to identify potential infections at an early stage. Upon detection, the system alerts farmers through a user-friendly interface, facilitating timely and targeted responses such as precision spraying or quarantine measures. By harnessing the power of data-driven insights, the smart system holds promise for revolutionizing disease management in agriculture, minimizing losses, reducing pesticide usage, and ultimately ensuring sustainable food production.