Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Classification and Identification of Saccharum Officinarum Diseases using Deep Transfer Learning Computer Vision

Record type:

paper
Creator:
SalAlvLeoCha
Publisher:
IEEE
Host:

Visit

doi.org

Tasks

computer visionimage classification

Licenses

https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-037

Similar

African bovid tribe classification using transfer learning and computer visionComputer Vision Identification of Trachomatous Inflammation-Follicular Using Deep LearningReplication Data for: African bovid tribe classification using transfer learning and computer visionAutomated Blood Group Detection Using Computer Vision and Transfer Learning on Mobile-Optimized Deep Neural NetworksIdentification of Injera Mixture Using Computer Vision and Machine Learning ApproachComputer vision framework for wheat disease identification and classification using Jetson GPU infrastructure

African bovid tribe classification using transfer learning and computer vision

Abstract Objective analytical identification methods are still a minority in the praxis of paleobio

Computer Vision Identification of Trachomatous Inflammation-Follicular Using Deep Learning

Replication Data for: African bovid tribe classification using transfer learning and computer vision

Image data set of African bovid teeth used for classification of tribe through computer vision. The

Automated Blood Group Detection Using Computer Vision and Transfer Learning on Mobile-Optimized Deep Neural Networks

This research presents an AI-assisted automated blood group detection framework using computer visio

Identification of Injera Mixture Using Computer Vision and Machine Learning Approach

Injera is a culturally significant food in Ethiopia, and the majority of the population consumes it

Computer vision framework for wheat disease identification and classification using Jetson GPU infrastructure

Computer vision framework for wheat disease identification and classification using Jetson GPU infrastructure

Poster presented at the Deep Learning Indaba 2023 by Tage Aboneh