VINBOT

AUTONOMOUS CLOUD-COMPUTING VINEYARD ROBOT TO OPTIMISE YIELD MANAGEMENT AND WINE QUALITY

Coordinatore	ATEKNEA SOLUTIONS CATALONIA, SA    more  Organization address address: CALLE VICTOR PRADERA 45 city: CORNELLA DE LLOBREGAT BARCELONA postcode: 8940 contact info Titolo: Mr. Nome: Albert Cognome: Nieto Email: send email Telefono: +34 93 204 9922
Nazionalità Coordinatore	Spain [ES]
Totale costo	2˙022˙363 €
EC contributo	1˙536˙999 €
Programma	FP7-SME Specific Programme "Capacities": Research for the benefit of SMEs
Code Call	FP7-SME-2013
Funding Scheme	BSG-SME-AG
Anno di inizio	2014
Periodo (anno-mese-giorno)	2014-02-01   -   2017-01-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	ATEKNEA SOLUTIONS CATALONIA, SA  Organization address address: CALLE VICTOR PRADERA 45 city: CORNELLA DE LLOBREGAT BARCELONA postcode: 8940 contact info Titolo: Mr. Nome: Albert Cognome: Nieto Email: send email Telefono: +34 93 204 9922	ES (CORNELLA DE LLOBREGAT BARCELONA)	coordinator	83˙443.61
2	BODEGAS FAMILIARES DE RIOJA PROVIR  Organization address address: "C PORTALES PLANTA 71, 2" city: LOGRONO LA RIOJA postcode: 26001 contact info Titolo: Ms. Nome: María Cognome: Díaz Navarro Email: send email Telefono: +34 941 286 755	ES (LOGRONO LA RIOJA)	participant	306˙401.97
3	COOPERATIVA AGRICOLA DE GRANJA CRL  Organization address address: Baldio de Granja city: GRANJA postcode: 7240 011 contact info Titolo: Mr. Nome: Manuel Cognome: Ramalho Email: send email Telefono: +351 266 570 012	PT (GRANJA)	participant	224˙935.00
4	AGRI-CIENCIA CONSULTORES DE ENGENHARIA LDA  Organization address address: RUA DOS LUSIADAS 52-1 city: LISBOA postcode: 1300 372 contact info Titolo: Mr. Nome: Luis Miguel Cognome: Fernandes Email: send email Telefono: +35 1213649625	PT (LISBOA)	participant	223˙781.58
5	ASSIST SOFTWARE SRL  Organization address address: STRADA TIPOGRAFIEI 1 city: SUCEAVA postcode: 720043 contact info Titolo: Mr. Nome: David Cognome: Gheorghe Email: send email Telefono: +40 230521100	RO (SUCEAVA)	participant	222˙339.31
6	CANTINE D'ALFONSO DEL SORDO SRL  Organization address address: Contrada S Antonino SS 89 Km 5 city: SAN SEVERO postcode: 71016 contact info Titolo: Mr. Nome: Gianfelice Cognome: D'alfonso Del Sordo Email: send email Telefono: +39 0882221444	IT (SAN SEVERO)	participant	218˙295.00
7	ORGOVANYI GAZDASZOVETKEZET SZOVETKET  Organization address address: KOLCSEY UTCA 2 city: ORGOVANY postcode: 6077 contact info Titolo: Mr. Nome: Gyula Cognome: Csaba Email: send email Telefono: +36 30 456 7677	HU (ORGOVANY)	participant	214˙955.45
8	ROBOTNIK AUTOMATION SLL  Organization address address: CALLE BERNI Y CATALA 53 BAJO IZQ city: VALENCIA postcode: 46019 contact info Titolo: Mr. Nome: Roberto Cognome: Guzmán Email: send email Telefono: +34 963383835	ES (VALENCIA)	participant	33˙423.49
9	Instituto Superior de Agronomia  Organization address address: Tapada da Ajuda city: Lisboa postcode: 1349-017 contact info Titolo: Prof. Nome: Carlos Cognome: Lopes Email: send email Telefono: +35 1213653450	PT (Lisboa)	participant	9˙424.51

Mappa

 Word cloud

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 Obiettivo del progetto (Objective)

'VinBot responds to a need to boost the quality of European wines by implementing precision viticulture (PV) tools in the face of serious market threats worldwide and structural shortcomings within the EU wine sector. Wine producer associations have no control over yield management throughout their members’ vineyards, which leads to reduced quality wine at the association level. At the vineyard level, wine growers are not able to accurately assess yield due to the large amount of terrain to inspect, and use sample-based estimates of smaller production areas to estimate yield, which also negatively affects wine quality. An automatic yield monitoring system would allow winegrowers to accurately assess grape yield and relevant phyto-data via a set of sensors, tracking the state and location of the assets, generating maps, capturing sample locations, and sharing such information in a quick, flexible, autonomous and easy-to-use way. By means of a novel, all-terrain, autonomous robot, VinBot automates the traditional visual yield estimation process throughout the entire vineyard, estimating the amount of leaves and grapes on the vine via computer vision and other sensors. Data-intensive computer vision algorithms are offloaded to external internet servers (the cloud). The VinBot extends visual leaf and fruit estimation throughout the entire vineyard, and centralises yield management in the SME-AGs by providing them with online yield maps of their members' vineyards. The VinBot represents a powerful precision viticulture tool, which does not exist today: the cloud-computing agricultural robot. Using the VinBot, the consortium SME wine producer associations will be able to coordinate and optimise yield management strategies throughout their thousands of members' vineyards, based on their collective expertise and commercial objectives. They expect to sell their wine for 8%-20% more over a five year period by employing the VinBot system to accurately estimate yield.'