ZIDANE , Flora

Nondestructive evaluation for agricultural products is of increasing interest. The researchers investigate the use of microwave imaging systems, which allow non-destructive control of fruits while monitoring their growth and maturity. As for every fruit, the apples face many diseases, which is an economic and an agricultural issue. The...

This work is a proof of concept proposing and describing a complete workflow to differentiate healthy from damaged apples, staring from mm-W measurements and ending-up with classification based on Support Vector Machine. The method has proven to be successful with only 6% error when scan angle and frequency diversity are used. In a first step,...

L'identification des techniques de fabrication des poteries préhistoriques est l'un des moyens les plus précieux pour tracer la carte des mobilités humaines avant l'invention de l'écriture. Nous nous intéressons ici au peuplement de la Méditerranée occidentale à travers le tri de tessons de poterie. L'objectif est de différencier deux...

To avoid economic losses due to fruit diseases, farmers need to control quality before harvesting and thus before the fruit reaches the consumer. In this paper, we present a proof of concept for damages detection in fruit with a minimum number of measurement points. By using the Grey Wolf Optimizer, the number of measurement points drops from...

Fighting fruit diseases, farmers are in demand of an automatic Non Destructive Evaluation system for detecting the damages in fruits. In this paper, we propose a proof of concept using amplitude-only measurements associated with a Machine learning Algorithm of linear Support Vector Machine type, for sorting healthy from damaged peaches hidden...

Based on various applications involving millimeter- wave (mm-wave) imaging, we highlight the importance of processing the measurements prior to their classification with Artificial Intelligence (AI) algorithms. The key point for enabling a good classification accuracy is to obtain the same structure for the training and the test datasets....

The food industry is in constant demand of performing and easy to implement Non-Destructive Evaluation NDE techniques. In this paper, we tackle the problem of the automatic inspection of fruits and more specifically, the sorting of healthy and damaged fruits, taking apples and peaches as examples. In a recent work, we have explained how to...

This paper is a proof of concept proposing and describing a complete workflow to differentiate healthy from damaged apples, starting with mmWave measurements and ending with a classification based on Support Vector Machine. The method has proven to be successful with only 6% error when scan angle and frequency diversity are used. In a first...

L'objectif de ces travaux est de proposer une méthode non destructive de tri entre fruits sains et abîmés. Nous combinons des mesures millimétriques à une technique de machine à vecteurs de support (SVM). Dans un premier temps, nous utilisons la diversité d'angle de balayage et de fréquences pour un taux de succès de 94%. Nous évaluons ensuite...

The detection of contaminants in food products after packaging by a non-invasive technique is a serious need for companies operating in the food industry. In recent years, many technologies have been investigated and developed to overcome the intrinsic drawbacks of the currently employed techniques, such as X-rays and metal detector, and to...

Fast and efficient non-Destructive evaluation methods for food control is still an ongoing field of research. Wehave recently proposed to combine W-band imaging with nonlinear SVM classifier to sort out healthy from damaged fruits for a single variety of fruits. We have tested it on apples and peaches separately with a mean accuracy of 96%. We...

Recently, low THz radar-based measurement and classification for archaeology emerged as a new imaging modality. In this paper, we investigate the classification of pottery shards, a key enabler to understand how the agriculture was introduced from the Fertile Crescent to Europe. Our purpose is to jointly design the measuring radar system and...

In order to map the migration and introduction of farming into Europe during the 7th and 6th millennia Before Common Era, archaeologists have made a connection between the study of pottery and farming migration. We are interested here in the classification of pottery into coiling and spiral types, based on their manufacturing techniques. To...

Identifying the making of prehistoric pottery is one of the valuable means of tracing technical traditions and human mobility. We are interested here in the settlement in the Western Mediterranean through the sorting of pottery samples. The aim is to discriminate between two building techniques, looking for the features formed by the air...

International audience

International audience