Prediction of Rice Diseases Using Convolutional Neural Network (in Rstudio)


Authors : A. Sony

Volume/Issue : Volume 4 - 2019, Issue 12 - December

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2rSkxyu

Detection of rice pest and diseases, and proper management and control of pest infested rice fields may result to a higher rice crop production. Using modern technologies, like smart phones, farmers can be aided in detecting and identifying the type of pests and diseases found in their rice fields. Convolutional Neural Network using r language are used to find the diseases in rice by using images of disease leaves. The disease images are collected from the UCI Machine Learning Repository contain the three types of diseases namely Bacterial Leaf Blight, Brown Spot, Leaf Smut.

Keywords : Convolutional Neural Network, Rstudio, Paddy Image Dataset.

CALL FOR PAPERS


Paper Submission Last Date
31 - March - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe