Record Details

Weed recognition using Image Processing technique based on Leaf Parameters

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title Weed recognition using Image Processing technique based on Leaf Parameters
Not Available
 
Creator Agrawal, KN
Singh, Karan
Bora, GC
Lin, D
 
Subject precision farming
weed identification
 
Description Not Available
Weeds normally grow in patches and spatially distributed in field. Patch spraying to control weeds has advantages of chemical saving, reduced cost and environmental pollution. Advent of electro-optical sensing capabilities has paved the way of using machine vision technologies for patch spraying. Machine vision system has to acquire and process digital images to make control decisions. Proper identification and classification of objects present in image holds the key to make control decisions and use of any spraying operation performed. Recognition of objects in digital image may be affected by background, intensity, image resolution, orientation of the object and geometrical characteristics. A set of 16, including 11 shape and 5 texture-based parameters coupled with predictive discriminating analysis has been used to identify the weed leaves. Geometrical features were indexed successfully to eliminate the effect of object orientation. Linear discriminating analysis was found to be more effective in correct classification of weed leaves. The classification accuracy of 69% to 80% was observed. These features can be utilized for development of image based variable rate sprayer.
Not Available
 
Date 2021-07-19T11:01:42Z
2021-07-19T11:01:42Z
2012-07-01
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/48888
 
Language English
 
Relation Not Available;
 
Publisher Journal of Agriculture Science and Technology