Systematic study on deep learning-based plant disease detection or classification

• Published in: The Artificial intelligence review Vol. 56; no. 12; pp. 14955 - 15052
• Main Authors: Sunil, C. K., Jaidhar, C. D., Patil, Nagamma
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.12.2023; Springer; Springer Nature B.V
• Subjects: Agricultural production; Analysis; Artificial Intelligence; Classification; Computational linguistics; Computer Science; Datasets; Deep learning; Economic impact; Grain; Language processing; Machine learning; Medical research; Medicine, Experimental; Natural language interfaces; Operating costs; Plant diseases; Subject specialists; Transportation; Travel time; Smart agriculture; Climate change; Plant pathology; Deep Learning model; Deep Convolutional Neural Network

Plant diseases impact extensively on agricultural production growth. It results in a price hike on food grains and vegetables. To reduce economic loss and to predict yield loss, early detection of plant disease is highly essential. Current plant disease detection involves the physical presence of do...