Analytical Review on Smart Plant Disease Detection and Prevention System

Intelligent plant disease detection and prevention systems have become an increasingly important component of today’s agricultural practices because they provide a way that is both more effective and more ecologically friendly for the management of plant diseases. This research comprises a review of the literature on smart plant disease detection and prevention systems, which encompass a wide range of sensors, algorithms, crops, and illnesses. The investigations took place in the last five years. According to the research, a proposed system that integrates various types of sensors and data sources, machine learning algorithms, decision support and management, user interface and accessibility, as well as privacy and security measures, has the potential to provide a comprehensive and efficient solution for detecting and preventing plant diseases in agricultural settings. A system like this might improve disease detection accuracy and speed, as well as reduce the use of hazardous chemicals and support the creation of more sustainable and healthier crops. Future research may focus on the creation of more advanced and integrated systems capable of dealing with the limits and limitations posed by existing systems and providing higher value to agricultural professionals and farmers.