Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

MAIZE DISEASE CLASSIFICATION USING DEEP LEARNING APPROACHES AND TREATMENT RECOMMENDATION FOR ETHIOPIAN FARMERS

Domaine:

agriculture
Créateur:
BET
Éditeur:
Zenodo
Hôte:avatar
MAIZE DISEASE CLASSIFICATION USING DEEP LEARNING APPROACHES AND TREATMENT RECOMMENDATION FOR ETHIOPIAN FARMERS

Visit

doi.orgzenodo.org

Tasks

computer visionimage classification

Languages

Amharic

Licenses

Creative Commons Attributionhttp://www.opendefinition.org/licenses/cc-byOpen Accessinfo:eu-repo/semantics/openAccess

Similaires

AFAAN OROMO CHATBOT MODELLING FOR WHEAT DISEASE DETECTION AND TREATMENT RECOMMENDATION USING DEEP LEARNING APPROACHESDESIGN AMHARIC LANGUAGE CHAT BOT FOR MAIZE DISEASE RECOMMENDATION USING DEEP LEARNING.Detection and Classification of Ethiopian Kale Leaf Disease using Deep LearningEthiopian music genre classification using deep learningMaize Disease Detection using Deep Learning ModelsPLANT DISEASE CLASSIFICATION USING DEEP LEARNING MODELS

AFAAN OROMO CHATBOT MODELLING FOR WHEAT DISEASE DETECTION AND TREATMENT RECOMMENDATION USING DEEP LEARNING APPROACHES

Chatbot technology is one of the many applications of artificial intelligence. A Chatbot is a comput

DESIGN AMHARIC LANGUAGE CHAT BOT FOR MAIZE DISEASE RECOMMENDATION USING DEEP LEARNING.

DESIGN AMHARIC LANGUAGE CHAT BOT FOR MAIZE DISEASE RECOMMENDATION USING DEEP LEARNING.

Detection and Classification of Ethiopian Kale Leaf Disease using Deep Learning

Ethiopian music genre classification using deep learning

Maize Disease Detection using Deep Learning Models

Abstract Disease attacks on crops like maize pose a significant threat to the global food

PLANT DISEASE CLASSIFICATION USING DEEP LEARNING MODELS

PLANT DISEASE CLASSIFICATION USING DEEP LEARNING MODELS

Poster presented at the Deep Learning Indaba 2022 by Yannick Serge Obam Akou