%0 Generic %1 chaugule2013technological %A Chaugule, Mrs.Archana A. %A Mali, Dr. Suresh N. %B 2013 Information Technology and Power Electronics %D 2013 %E R.Rajesh, Dr. %I ACEEE (A Computer division of IDES) %K Computer Image extraction feature processing vision %T Seed Technological Development – A Survey %U http://searchdl.org/public/book_series/LSCS/6/528.pdf %X his paper provides a review of automating or semi-automating the seed quality purity test. Computer vision (CV) technology used in variety of industries is a sophisticated type of inspection technology; however, it is not widely used in agriculture.The application of CV technologies is very challenging in agriculture. As CV plays an important role in this domain, research in this area has been motivated. Several theories of automating seed quality purity test are briefly mentioned. The reviewed approaches are classified according to features and classifiers. The methods for extracting features of a particular seed, and the classifiers used for classifying the seeds, are mentioned in the paper. An overview of the most representative methods for feature extraction and classification of seeds is presented. The major goal of the paper is to provide a comprehensive reference source for the researchers involved in automation of seed classification, regardless of particular feature or classifier.

@conference{chaugule2013technological, abstract = {his paper provides a review of automating or semi-automating the seed quality purity test. Computer vision (CV) technology used in variety of industries is a sophisticated type of inspection technology; however, it is not widely used in agriculture.The application of CV technologies is very challenging in agriculture. As CV plays an important role in this domain, research in this area has been motivated. Several theories of automating seed quality purity test are briefly mentioned. The reviewed approaches are classified according to features and classifiers. The methods for extracting features of a particular seed, and the classifiers used for classifying the seeds, are mentioned in the paper. An overview of the most representative methods for feature extraction and classification of seeds is presented. The major goal of the paper is to provide a comprehensive reference source for the researchers involved in automation of seed classification, regardless of particular feature or classifier.}, added-at = {2014-02-04T10:00:14.000+0100}, author = {Chaugule, Mrs.Archana A. and Mali, Dr. Suresh N.}, biburl = {https://www.bibsonomy.org/bibtex/2e309671aafcab6aa8f52e6872c3d9db1/idescitation}, booktitle = {2013 Information Technology and Power Electronics}, editor = {R.Rajesh, Dr.}, interhash = {e3679d2175eb1bea4e564aec20703ac7}, intrahash = {e309671aafcab6aa8f52e6872c3d9db1}, keywords = {Computer Image extraction feature processing vision}, organization = {Institute of Doctors Engineers and Scientists}, publisher = {ACEEE (A Computer division of IDES)}, timestamp = {2014-02-04T10:00:14.000+0100}, title = {Seed Technological Development – A Survey}, url = {http://searchdl.org/public/book_series/LSCS/6/528.pdf}, year = 2013 }