VINEROBOT

VINEyardROBOT

Coordinatore	UNIVERSIDAD DE LA RIOJA    more  Organization address address: Ave. De la Paz 93 postcode: 26006 contact info Titolo: Mrs. Nome: Marta Cognome: De Jaime Ruiz de Galarreta Email: send email Telefono: +34 941 299 792 Fax: +34 941 299 795
Nazionalità Coordinatore	Spain [ES]
Totale costo	2˙716˙077 €
EC contributo	2˙090˙000 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2013-10
Funding Scheme	CP
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-12-01   -   2016-11-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSIDAD DE LA RIOJA	ES	coordinator	0.00
2	AVANZARE INNOVACION TECNOLOGICA SL  Organization address address: C/ Antonio de Nebrija city: LOGRONO postcode: 26006 contact info Titolo: Ms. Nome: Lucia Cognome: Badaya Sarabia Email: send email Telefono: +34 941587027	ES (LOGRONO)	participant	0.00
3	FORCE-A SA  Organization address address: Centre universitaire Paris SUD Batiment 503 city: ORSAY postcode: 91893 contact info Titolo: Dr. Nome: JEAN-LUC Cognome: AYRAL Email: send email Telefono: +33 1 69 35 87 47 Fax: +33 1 69 35 88 97	FR (ORSAY)	participant	0.00
4	Forschungsanstalt Geisenheim  Organization address address: Von-Lade-Strasse city: Geisenheim postcode: 65366 contact info Titolo: Dr. Nome: Manfred Cognome: Stoll Email: send email Telefono: +49 6722 502 141 Fax: +49 6722 502 140	DE (Geisenheim)	participant	0.00
5	LES VIGNERONS DE BUZET SOCIETE COOPERATIVE AGRICOLE  Organization address address: AVENUE DES COTES DE BUZET city: BUZET-SUR-BAISE postcode: 47160 contact info Titolo: Mr. Nome: Sébastien Cognome: LABAILS Email: send email Telefono: 33553847430	FR (BUZET-SUR-BAISE)	participant	0.00
6	SIVIS SRL  Organization address address: VIALE TOSELLI city: SIENA postcode: 53100 contact info Titolo: Dr. Nome: Enrico Cognome: Faenzi Email: send email Telefono: 390564000000 Fax: 390564000000	IT (SIENA)	participant	0.00
7	UNIVERSITAT POLITECNICA DE VALENCIA  Organization address address: CAMINO DE VERA S/N city: VALENCIA postcode: 46022 contact info Titolo: Mr. Nome: Andrés Cognome: Moratal Roselló Email: send email Telefono: +34 963877409 Fax: +34 963877949	ES (VALENCIA)	participant	0.00
8	WALL-YE SARL  Organization address address: RUE DOYENNE city: MACON postcode: 71000 contact info Titolo: Mr. Nome: Christophe Cognome: Millot Email: send email Telefono: +33 6 07686017	FR (MACON)	participant	0.00

Mappa

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 Obiettivo del progetto (Objective)

The aim of this project is the design, development, and deployment of a novel use-case agricultural robot under the scope of Unmanned Ground Vehicles (UGV), and equipped with several non-invasive sensing technologies to monitor: 1) of grape yield, 2) vegetative growth, 3) Water stress and 4) Grape composition in order to optimize the vineyard management and improve grape composition and wine quality.nnThe use of UGVs to monitor vineyard physiological parameters and grape composition has several advantages over simple hand-held devices for manual sampling and over UAV.nnUGVs may provide key information regarding vineyard physiology and water stress, grape composition, and pests and diseases' incidence much faster than manual solutions and at higher resolution, in a more flexible way, and lower cost than aerial scouting carried out by drones or planes.nnThe scope covers the integral monitoring of vineyards, over the entire season, by placing a ground robot along the vineyards (endowed with artificial intelligence and machine learning techniques).nThe final users will receive updated in mobile application (app).nnThe proposed use-case agricultural robots (where key proximal sensing technologies will be implemented) will allow revolutionary and conclusive decision making to optimize vineyard management and to drive agronomical fundamental decisions according to grape yield estimation, plant growth monitoring, water status, and berry composition assessment. UGV proposed will incorporate an integrated system that includes machine vision, thermography and fluorescence-based sensors. Canopy images and data acquisition processes will be executed in real time through customized algorithms to compose specific production maps.