Abstract
Proper development and growth of crops had always been a major concern and challenge in Agriculture. Proper crop development assures good quality of crops and also bumper harvest. Humans may not always identity all plant diseases accurately at all stages having an automated system for crop disease identification and detection can be a great help for a tiller. This thought inspired me to perform the proposed research work. VGG-16 based learning model achieved an accuracy of 98.74%, ResNet-50 based transfer achieved an accuracy of 98.84%, and ResNet-50 v2 based transfer learning model achieved an accuracy of 98.21%.
Keywords: CNN Achitecture, ResNet, ResNet50-v2, Transfer Learning, VGG.
Related Journals
Recent Patents on Space Technology
Recent Progress in Space Technology (Discontinued)
Recent Patents on Engineering
Recent Patents on Mechanical Engineering
Current Alternative Energy
Current Biochemical Engineering (Discontinued)
Current Topics in Engineering
Current Chinese Engineering Science
Journal of Fuzzy Logic and Modeling in Engineering
Current Engineering Letters and Reviews
Related Books
6G Wireless Communications and Mobile Networking
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Solar Thermal Systems: Thermal Analysis and its Application
Recent Developments in Artificial Intelligence and Communication Technologies
40 YEARS OF SHS: A LUCKY STAR OF A SCIENTIFIC DISCOVERY A Presentation with Elements of a Scientific Lecture
A Review: Chill-Block Melt Spin Technique, Theories & Applications