Artificial Driving based EfficientNet for Automatic Plant Leaf Disease Classification

• Published in: Multimedia tools and applications Vol. 83; no. 13; pp. 38209 - 38240
• Main Authors: Kotwal, Jameer Gulab, Kashyap, Ramgopal, Shafi, Pathan Mohd
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2024; Springer Nature B.V
• Subjects: Agricultural production; Algorithms; Classification; Classifiers; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Feature extraction; Gabor filters; Image filters; Machine learning; Multimedia Information Systems; Plant diseases; Production methods; Special Purpose and Application-Based Systems; Plant leaf disease; Gaussian filtering; Gray level co-occurrence matrix; Artificial driving optimization; Disease classification; UNet-based segmentation

Plant disease (PD) detection is a substantial problem that needs to be tackled to develop the economy and improve agricultural production. Using conventional methods to classify plant leaf diseases consumes more time, undergoes vanishing gradients problems, overfitting issues, etc. However, automati...