Revolutionizing Plant Health Management with Technological Digital Transformation to Enhance Disease Control & Fortifying Plant Resilience

In the face of escalating global challenges to food security, the imperative for precise, efficient, and effective plant disease identification and management has grown significantly. This study delves into digital technologies' potential for transformative change in tackling this pressing issue. These technologies encompass a spectrum including Augmented Reality (AR), Internet of Things (IoT), 5G, Blockchain, AI, ML, and RPA. This paper integrates practical insights from various real-world case studies spanning diverse geographic locations and technological platforms. This synthesis culminates in a proposed digital process, incorporating an integrated system that harnesses the synergy of various technologies to facilitate early disease detection, accurate diagnosis, and targeted treatment, ultimately resulting in superior crop yields. The research concludes by extending the scope and envisioning future opportunities for digital technologies in agriculture. The focus is on scalability, cost-effectiveness, efficiency, and sustainable growth. This comprehensive exploration demonstrates how digital technologies have the potential to revolutionise plant disease identification and management, providing substantial advantages. This research aims to benefit policymakers, farmers, communities, and consumers by showcasing their capacity to transform agricultural practices.