A Fast and Efficient Shape Descriptor for an Advanced Weed Type Classification Approach

Adil Tannouche (Moulay Ismail University)
Khalid Sbai (Moulay Ismail University)
Miloud Rahmoune (Moulay Ismail University)
Amine Zoubir (Moulay Ismail University)
Rachid Agounoune (Moulay Ismail University)
Rachid Saadani (Moulay Ismail University)
Abdelali Rahmani (Moulay Ismail University)

International Journal of Electrical and Computer Engineering
Vol 6, No 3: June 2016

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