Identification of Plant Disease and Wetness/Dryness Detection


Authors : Dr. B. Swaminathan, B.Nivetha, G.Nadarajan, S.Nagarajan

Volume/Issue : Volume 5 - 2020, Issue 3 - March

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

Scribd : https://bit.ly/33R5V11

Plant diseases have become a major problem because it can considerably have an effect on both the quantity and quality of the agricultural products. It is very hard to identify and treat the plant disease with traditional methods. Automatic detection of plant diseases, growth of leaf and color change is an important research topic because it detects the symptoms of plant diseases as quickly as they are present on the leaves and helps in monitoring large fields of crops. Image processing techniques are used to solve the problem of identifying and extracting the affected plant parts in an effective manner. The proposed system gives a software solution for detecting the leaf disease, growth and color change.

Keywords : Classification, Feature Extraction, Plant Disease Detection, Segmentation, Neural Network.

CALL FOR PAPERS


Paper Submission Last Date
30 - April - 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