AI Cultivation: Transforming Agriculture through Plant Disease Detection – Methods, Applications and Boundaries

Abstract

Agriculture, the backbone of human civilization, faces unprecedented challenges in the 21st century. With a growing global population, shrinking arable land, and increasingly unpredictable climatic conditions, the need for innovative solutions to enhance crop productivity and food security has never been more pressing. In response to these challenges, artificial intelligence (AI) has emerged as a promising technology with the potential to revolutionize agriculture. This study aims to explore the transformative role of AI in agriculture, with a specific focus on plant disease detection. By leveraging AI-driven methodologies, such as deep learning algorithms and advanced image processing techniques, farmers can detect and diagnose plant diseases with unprecedented speed and accuracy. This capability is crucial for mitigating crop losses, optimizing resource utilization, and ensuring the sustainable production of food.