Advancements in Plant Leaf Disease Detection: A Comprehensive Review of Latest Trends and Technologies

In the face of increasing global challenges in agriculture, the accurate and timely detection of plant diseases has become imperative for ensuring food security and sustainable crop production. Different machine-learning approaches to detecting plant leaf diseases are reviewed in this paper. This study focuses on the evolution of methodologies, challenges encountered, and the current state-of-the-art in this field. Leveraging the power of machine learning for plant disease detection holds promise for early diagnosis and effective disease management. The review synthesizes research findings, highlights critical advancements, and identifies potential areas for future research to contribute to the ongoing efforts in precision agriculture and smart farming.