JMuBEN 3

Published: 17 December 2021| Version 3 | DOI: 10.17632/jjn4ht687d.3
Contributors:
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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 1383 images affected by leaf rust compressed in one folder. JMuBEN 3 also contains code for a model that was adopted for sweet potato leaf rust 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

License