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Automated System for Comprehensive Plant Disease Analysis

  • Olfa Mzoughi

摘要

This chapter highlights the importance of automated plant disease analysis for agricultural enhancement. It addresses two critical challenges: disease identification and severity assessment. The chapter delineates the transformative impact of deep learning techniques, including transfer learning, object detection, and segmentation. Moreover, it recommends the adoption of weakly supervised learning to overcome inherent classification complexities as well as annotation challenges. This study offers comprehensive practical insights to advance plant disease analysis.