NDLI: Statistical Based Real-Time Selective Herbicide Weed Classifier

Content Provider	IEEE Xplore Digital Library
Author	Ahmad, I. Muhamin Naeem, A. Islam, M. Bin Abdullah, A.
Copyright Year	2007
Description	Author affiliation: Dept. of Comput. Sci., COMSTATS Inst. of Inf. Technol., Abbottabad (Ahmad, I.)
Abstract	This paper deals with the development of an algorithm for real time specific weed recognition system based on Sample Variance of an image that is used for the weed classification and comparison of its result with the algorithm based on population variance. The population variance has been used before for weed classification. The processing time for calculating population variance and sample variance for different samples is given. This algorithm is specifically developed to classify images into broad and narrow class for real-time selective herbicide application. The developed system has been tested on the weeds in the lab along with the prior algorithm based on population variance, which have shown that the system is very effective in weed identification and efficient than the algorithm based on population variance. Further the results show a very reliable performance on images of weeds taken under varying field conditions. The analysis of the results shows over 97 percent classification accuracy over 140 sample images (broad and narrow) with 70 samples from each category of weeds. The algorithm developed in this paper has improved efficiency.
Sponsorship	IEEE Lahore Sect.
Starting Page	1
Ending Page	4
File Size	1270020
Page Count	4
File Format	PDF
ISBN	9781424415526
DOI	10.1109/INMIC.2007.4557689
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-28
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Crops Spraying Real time systems Soil Production Image color analysis Image recognition System testing Water resources Reservoirs Weed detection Image Processing real-time recognition Population Variance Sample Variance
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in