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Classification of the firmness of peaches by sensor fusion

International Journal of Agricultural and Biological Engineering 2015年第6期8卷 104-115,I0002页

作者： Kubilay Kazim Vursavus Yesim Benal Yurtlu Belen Diezma-Iglesias Lourdes Lleo-Garcia Margarita Ruiz-Altisent Department of Agricultural Machinery and Technologies Engineering Faculty of AgricultureÇukurova University01330 AdanaTurkey Department of Agricultural Machinery and Technologies Engineering Faculty of AgricultureOndokus Mayıs UniversitySamsunTurkey LPF-Tagralia Department of Agricultural EngineeringTechnical Polytechnic University of MadridAvda.Computense s/n28040 MadridSpain

The objectives of this research were to compare the performance of each individual nondestructive sensor with the destructive sensor,and to apply sensor fusion technique to explore whether a combination of sensors would give better results than a single sensor for classification of peach *** were carried out with four peach varieties namely Royal Glory,Caterina,Tirrenia and *** this research,the three nondestructive firmness sensors acoustic firmness,low-mass impact and micro-deformation impact were used to measure firmness.A Bayesian classifier was chosen to provide a classification into three categories,namely soft,intermediate and *** level fusion technique was performed by using identity declaration provided by each *** data fusion system processed the information of the sensors to output the fused *** result of the high level fusion was compared with the classification provided by an unsupervised algorithm based on destructive reference *** fusion process of the nondestructive sensors provided some improvements in the firmness classification;the error rate varied from 25%to 19%for individual ***,the results of fusion process by using three sensors decreased the error rate from 19%to 13%.This research demonstrated that the fused systems provided more complete and complementary information and,thus,were more effective than individual sensors in the firmness classification of peaches.

关键词： peach firmness classification nondestructive sensor high level fusion Bayesian classifier

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