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.

Detection and Classification of Ethiopian Kale Leaf Disease using Deep Learning

Record type:

paper
Creator:
HanMicDamTem
Publisher:
IEEE
Host:

Visit

doi.org

Tasks

computer visionimage classification

Languages

Amharic

Licenses

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

Similar

Cotton leaf disease detection and classification using deep learningSoybean leaf disease detection and classification using deep learning approachPepercorn Leaf Disease Detection and Classification model Using Deep Learning ApproachTomato Leaf Disease Classification Using Deep LearningPotato Leaf Disease Detection Using Deep Learning AlgorithmBuilding Deep Learning-Based Enset Leaf Disease Detection and Classification Model

Cotton leaf disease detection and classification using deep learning

Soybean leaf disease detection and classification using deep learning approach

In Ethiopia, where soybeans are mainly involved, manual observation has traditionally been relied up

Pepercorn Leaf Disease Detection and Classification model Using Deep Learning Approach

Abstract Particularly in the most lowland areas of Ethiopia, Pepercorn is an essen

Tomato Leaf Disease Classification Using Deep Learning

Tomato cultivation is a vital agricultural activity worldwide, significantly contributing to food se

Potato Leaf Disease Detection Using Deep Learning Algorithm

Building Deep Learning-Based Enset Leaf Disease Detection and Classification Model

                                       ABSTRACT The majority of Ethiopians still rely heavily on th