Plant Disease Detection using ResNet

• Published in: International Conference on Inventive Computation Technologies (Online) pp. 614 - 618
• Main Authors: Archana, U., Khan, Amanulla, Sudarshanam, Appani, Sathya, C., Koshariya, Ashok Kumar, Krishnamoorthy, R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 26.04.2023
• Subjects: Agriculture; Classification; CNN; Convolutional neural networks; Image color analysis; Plant diseases; Plants (biology); Pressing; Productivity; Resnet-50; Training

Deep learning and computer vision have recently emerged as useful methods for the phenotyping of sick plant tissue. The majority of prior research focused on illness categorization based on images. In conventional agricultural procedures, the diagnosis of illnesses affecting rice plants is performed...