An efficient adaptive feature selection with deep learning model-based paddy plant leaf disease classification

• Published in: Multimedia tools and applications Vol. 83; no. 8; pp. 22639 - 22661
• Main Authors: Dubey, Ratnesh Kumar, Choubey, Dilip Kumar
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2024; Springer Nature B.V
• Subjects: Adaptive algorithms; Blight; Color; Computer Communication Networks; Computer Science; Crops; Data Structures and Information Theory; Deep learning; Economic impact; Feature extraction; Feature selection; Image classification; Machine learning; Medical imaging; Multimedia Information Systems; Optimization; Optimization algorithms; Plant diseases; Signs and symptoms; Special Purpose and Application-Based Systems; Support vector machines; Deep learning; Paddy leaf plant; SV-RFE; Rain optimization algorithm; Median filter; ABi-LSTM

Agriculture is the essential source of national income for some nations including India. Infections in crops/plants are serious causes of reduced quantity and quality of production, resulting in economic loss. Therefore, the detection of diseases in crops is very essential. Plant disease symptoms ar...