Automated Weed Seeds Identification System

ISBN-13: 9783659695766 / Angielski / Miękka / 2015 / 92 str.

Kamel Enas

Opis

The manual seeds identification takes a long time for practical applications. Therefore, automatic reliable plant seeds identification is of great technical and economic importance in agricultural industry. In this work, modern techniques used in different computer science fields such as image analysis, pattern recognition and computer vision have been applied to extract features that describe the seed. These extracted features used identify weed seeds species.

O autorze

Enas Mohamed Kamel received her B.Sc in pure mathematics and computer sciences from Ain Shams University in 1997 and received her M.Sc. degree in Computer Sciences from Helwan University in 2009. Enas is working Assistant researcher at Weed Research Central Laboratory, Agriculture Research Center, Cairo, Egypt.