, Quand il s'agit d'interroger par radar FM-CW une cible isolée pour en estimer sa surface équivalente radar, il est possible d'analyser la distribution des niveaux d'écho, et d'en déduire des estimateurs optimaux en termes de linéarité ou de précision. Ces estimations se basent aussi bien sur des valeurs de niveau d'écho que sur des analyses volumiques et permettent ainsi, en fonction de l'application, d'estimer un volume (cible canonique) ou une grandeur physique

, En revanche, dès que la scène de mesure se complexifie (présence de clutters, plusieurs cibles à distinguer et à analyser), il est impératif d'établir des classifications d'échos radar pour retrouver la grandeur physique d'intérêt, en l'occurrence le volume des grappes de raisin. Ces classifications nécessitent l'utilisation d'algorithme afin d'extraire les propriétés de chaque écho radar. Ces propriétés peuvent être à la fois spatiales (position, forme) ou électromagnétiques

, De ces propriétés, le choix d'un estimateur linéaire avec une bonne précision (s'il existe) doit être fait

, Cela nécessite, dans les cas les plus simples montrés dans ce manuscrit

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D. Henry, J. G. Hester, H. Aubert, P. Pons, M. M. Tentzeris et al., Range Wireless Interrogation of Passive Humidity Sensors Using Van-Atta Cross-Polarization Effect and Different Beam Scanning Techniques, IEEE Trans. Microw. Theory Tech, vol.65, pp.5345-5354, 2017.

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, ? Communications dans des conférences internationales à comité de lecture et actes publiés

D. Henry, P. Pons, and H. Aubert, 3D Scanning Radar for the Remote Reading of Passive Electromagnetic Sensors, IEEE International Microwave Symposium, pp.17-22, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01838508

D. Henry, P. Pons, and H. Aubert, 3D Microwave Imaging System for the Remote Detection and Reading of Passive Sensors, European Microwave Conference, pp.7-10, 2015.
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D. Henry, H. Aubert, and P. Pons, 3D Scanning and Sensing Technique for the Detection and Remote Reading of a Passive Temperature Sensor, IEEE International Microwave Symposium, pp.22-27, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01396836

D. Henry, H. Aubert, and P. Pons, Wireless Passive Sensors Interrogation Technique Based on a Three-Dimensional Analysis, European Microwave Conference, pp.3-7, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01396848

D. Henry, J. Hester, H. Aubert, M. Tentzeris, and P. Pons, Long Range Wireless Interrogation of Passive Humidity Sensors using Van-Atta Cross-Polarization Effect and 3D Beam Scanning Analysis, IEEE International Microwave Symposium, pp.4-9, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01570718

J. Philippe, C. Arenas, D. Henry, A. Coustou, A. Rumeau et al., Passive and chipless packaged sensor for the wireless pressure monitoring in harsh environment, pp.3-6, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01570698

C. Arenas, J. Philippe, D. Henry, A. Rumeau, H. Aubert et al., Wireless and Passive Nuclear Radiation Sensors, European Microwave Conference, pp.9-13
URL : https://hal.archives-ouvertes.fr/hal-01570623

D. Henry, H. Aubert, and P. Pons, Imagerie Radar 3D en onde millimétrique pour la détection et la lecture des capteurs passifs et sans puce, Journées Nationales Microondes, 2015.

D. Henry, H. Aubert, and P. Pons, Méthode d'estimation pour l'interrogation et la lecture sans fil de capteurs passifs, Journées Nationales Microondes, 2017.

, ? Communications invitées

D. Henry, A. Rifai, P. Pons, and H. Aubert, Millimetre-wave Scanning Radar for the Detection and Remote Reading of Passive Electromagnetic Sensors, 9th European Conference on Antennas & Propagation, Convened Session on Chipless, pp.12-17, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01838463

H. Aubert, P. A. Pons, and . Henry, Wireless Detection, Identification and Reading of Passive Electromagnetic Sensors based on Beam-Steering FMCW RADAR, 1st URSI Atlantic Radio Science Conference (URSI AT-RASC), pp.18-22, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01838554

H. Aubert and D. Henry, 3D Active Imagery Technique Using Ground-based Microwave FMCW Radar for the Remote Estimation of Intra-Parcel Fruit and Vegetable Quantity, invited talk to International Conference on Computing, Wireless and Communication Systems, pp.14-16

H. Aubert, D. Henry, and P. Pons, Devices Conference (NMDC), session "Materials and devices for RF microsensors, IEEE Nanotechnology Materials, 2017.

D. Henry, H. Aubert, and P. Pons, Interrogation sans fil et localisation de capteurs passifs sans puce par balayage radar 3D en environnement contraint, Poster lors de l'Assemblée Générale du GDR ONDES « Interférences d'Ondes, 2015.

D. Henry, H. Aubert, T. Veronese, and E. Serrano, Estimation de la quantité intra-parcellaire de grappes de raisin par imagerie microonde 3D" Imagerie radar en ondes millimétriques appliquée à la viticulture, pp.23-25, 2017.

. Mots-clés, Les traitements tels que les fertilisants, les intrants et autres pesticides doivent être utilisés de manière différente en les appliquant au bon endroit, à la bonne période et au bon taux. Cette nouvelle façon de penser l'agriculture fait partie de l'agriculture de précision (PA) et se concentre en quatre domaines technologiques : (i) la télédétection, (ii) la navigation et guidage, (iii) la gestion des données et (iv) les technologies à taux variable. Initiée à la fin des années 1990, la viticulture de précision (PV), Capteurs passifs, Imagerie radar, Radar micro-ondes, Télédétection

, Pouvoir estimer le rendement des vignes plusieurs semaines avant la récolte offre de nombreux avantages avec des impacts économiques et qualitatifs, avec par exemple : (i) l'amélioration du rapport rendement/qualité en supprimant au plut tôt une partie de la récolte, (ii) l'optimisation des ressources humaines et la logistique à la récolte, (iii) un remboursement le plus équitable par les assurances en cas d'intempéries qui endommageraient les pieds de vignes. La méthode proposée ici repose sur l'imagerie microondes (à 24GHz ou des fréquences plus élevées) générée par un radar FM-CW. Elle implique la mise en place d'un système d'interrogation intra-parcellaire « pied par pied » à distance basé au sol, et en particulier : (i) l'évaluation de la précision des mesures et les limites du système, (ii) le développement d'algorithmes spécifiques pour l'analyse de données tridimensionnelles, (iii) la construction d'estimateurs pour retrouver le volume des grappes, et finalement (iv) l'analyse des données recueillies pendant les campagnes de mesures. Dû au caractère saisonnier des récoltes, les mesures sont en premier lieu effectuées sur des cibles canoniques, des charges variables et des capteurs passifs en laboratoire. Pour mettre en avant la flexibilité de cette interrogation radar, le même système est utilisé en parallèlement dans le cadre du projet régional PRESTIGE, Les travaux effectués durant cette thèse entrent dans le cadre de la télédétection (ou détection proche) appliquée à la PV. Ils se focalisent sur une nouvelle méthode d'estimation de la quantité de grappes (masse ou volume) directement sur les plants de vignes