Artificial Intelligence for Crop Disease Detection: Techniques, Challenges, and Future Directions

Abstract

Crop diseases remain one of the leading causes of reduced agricultural productivity and economic losses worldwide. Early and accurate disease detection is essential for improving crop health, ensuring food security, and promoting sustainable farming practices. Recent advances in Artificial Intelligence (AI), particularly in Machine Learning (ML), Deep Learning (DL), and computer vision, have transformed the way crop diseases are identified and monitored