A Real Time Efficient Management of Onions Weeds Based on a Multilayer Perceptron Neural Networks Technique
Journal Title: International Journal of Farming and Allied Sciences - Year 2015, Vol 4, Issue 2
Abstract
Weeds compete with the crops for light, water and nutrients within the soil, hindering the yield and the quality of agricultural products. Weeds chemical management is the best solution; however, the widespread use of herbicides is harmful to the environment. Moreover, over time, some weed species develop immunity to these products. In this paper, an advanced technique based on artificial neural network vision is presented in order to make benefits of high herbicide saving and to improve production while using a low cost system. The proposed concept makes benefits of low cost with good efficiency. In fact, the m ultilayer perceptron neural networks technique is performed in order to detect weeds roots in the onions cultivation which results on a localized spraying of infected areas allowing thereby the reduction of the herbicides amount. The proposed concept has been validated by experimentation whose results prove a good saving amount due to efficient real-time weeds recognition.
Authors and Affiliations
Adil Tannouche, Khalid Sbai, Youssef Ounejjar and Abdelali Rahmani
Keywords
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