Automatic early detection of rice leaf diseases using hybrid deep learning and machine learning methods

• Published in: Multimedia tools and applications Vol. 82; no. 23; pp. 36091 - 36117
• Main Authors: Rajpoot, Vikram, Tiwari, Akhilesh, Jalal, Anand Singh
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2023; Springer Nature B.V
• Subjects: Artificial intelligence; Blight; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Deep learning; Machine learning; Multimedia Information Systems; Plant diseases; Predictions; Special Purpose and Application-Based Systems; Rice leaf disease; VGG-16; Machine learning; Plant Disease; Faster R-CNN; Deep Learning; Random Forest

Plant leaf disease detection is critical for long-term agricultural viability. Numerous Artificial Intelligence (AI) and Machine Learning (ML) technologies have been implemented for detecting rice diseases. However, such methods failed to identify or have slow recognition causing severe output loss....