JMuBEN 3

Published: 1 June 2021| Version 1 | DOI: 10.17632/jjn4ht687d.1
Contributors:
jennifer Jepkoech, David Mugo, Benson Kenduiywo, Edna Too

Description

JMuBEN 3 Contains a file of sweet potato datasets affected by rust. The images were collected in Kakamega County-Kenya, using a digital camera and with the help of plant pathologist for easy disease identification. Dataset contains 2003 images affected by leaf spot compressed in one folder. JMuBEN 3 also contains code for a model that was adopted for sweet potato leaf spot detection. The model can also be used for other plant leaf diseases classification.

Files

Steps to reproduce

Dataset was collected from a farm in Kakamega-Kenya using a digital camera and with the help of a pathologist. Leaf spot disease detection was done using a model that was done in google Colab using python. Code for the model is in a file written "code" . The model was developed following Geofrey Hinton's idea of capsules.

Institutions

  • Chuka University
  • University of Embu
  • Jomo Kenyatta University of Agriculture and Technology

Categories

Machine Learning, Image Classification, Plant Pathology, Deep Learning

Licence