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All Journal International Journal of Electrical and Computer Engineering
Miloud Rahmoune
Moulay Ismail University
Computer Science & IT Electrical & Electronics Engineering

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A Fast and Efficient Shape Descriptor for an Advanced Weed Type Classification Approach Adil Tannouche; Khalid Sbai; Miloud Rahmoune; Amine Zoubir; Rachid Agounoune; Rachid Saadani; Abdelali Rahmani
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1788.009 KB) | DOI: 10.11591/ijece.v6i3.pp1168-1175

Abstract

In weed management, the distinction between monocots and dicots species is an important issue. Indeed, the yield is much higher with the application of a selective treatment instead of using a broadcast herbicide overall the parcel. This article presents a fast shape descriptor designed to distinguish between these two families of weeds. The efficiency of the descriptor is evaluated by analyzing data with the pattern recognition process known as the discriminant factor analysis (DFA). Excellent results have been obtained in the differentiation between these two weed species
Co-Authors Abdelali Rahmani Adil Tannouche Amine Zoubir Khalid Sbai Rachid Agounoune Rachid Saadani