Cotton diseases detection using image processing

Zareen Tamboli; Ms.Aishwarya Godse; Ms.Ashwini Jadhav; Ms.Vrushali Patil

Cotton diseases detection using image processing

Authors: Zareen Tamboli, Ms.Aishwarya Godse, Ms.Ashwini Jadhav, Ms.Vrushali Patil

Unique Paper ID: 143654
Volume: 2
Issue: 12
PageNo: 270-273

Keywords: Classification Diagnosis Diseases K-mean Clustering Algorithm.

Abstract:
This project presents an approach for careful detection of diseases, diagnosis and timely handling to prevent the crops from heavy losses. So for the study of interest is the leaf rather than whole cotton plant because about 85-95 % of diseases occurred on the cotton leaves like Alternaria, Cercospora and Red Leaf Spot.Image processing technique is used for detecting diseases on cotton leaves early and accurately. It is used to analyze the cotton diseases which will be useful to farmers.K-mean clustering method is used in our project for accurate detection of cotton leaves.The purpose behind use of this method is it gives more accurate result as compare to other methods with less execution time.the accuracy of K-mean clustering is 89.56%.

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 2
Issue: 12
PageNo: 270-273

Cotton diseases detection using image processing

Available:https://ijirt.org/Article?manuscript=143654

21 May, 2016

Smart Gas Valve Regulator and Booking System

20 May, 2016

A Hybrid Face Detection System using combination of Appearance-based and Feature-based method

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry