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

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.

Call for proposal

FP7-SME-2013
See other projects for this call

Coordinator

ROBOTNIK AUTOMATION SLL
Address
Carrer De Barcelona, 3-A. P.i. Fuente Del Jarro
46988 Paterna
Spain
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 33 423,49
Administrative Contact
Rafael López (Mr.)

Participants (8)

COOPERATIVA AGRICOLA DE GRANJA CRL
Portugal
EU contribution
€ 234 329,38
Address
Baldio De Granja
7240 011 Granja
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Manuel Ramalho (Mr.)
ORGOVANYI GAZDASZOVETKEZET SZOVETKET
Hungary
EU contribution
€ 148 984,42
Address
Kolcsey Utca 2
6077 Orgovany
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Gyula Csaba (Mr.)
BODEGAS FAMILIARES DE RIOJA PROVIR
Spain
EU contribution
€ 314 330,13
Address
C Portales Planta 71, 2
26001 Logrono La Rioja
Activity type
Other
Administrative Contact
María Díaz Navarro (Ms.)
CANTINE D'ALFONSO DEL SORDO SRL
Italy
EU contribution
€ 228 489,38
Address
Contrada S Antonino Ss 89 Km 5 Presso Azienda Coppanetta
71016 San Severo
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Gianfelice D'alfonso Del Sordo (Mr.)
AGRI-CIENCIA CONSULTORES DE ENGENHARIA LDA
Portugal
EU contribution
€ 247 577,88
Address
Rua Dos Lusiadas 52-1
1300 372 Lisboa
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Luis Miguel Fernandes (Mr.)
ASSIST SOFTWARE SRL
Romania
EU contribution
€ 234 933,70
Address
Strada Tipografiei 1
720043 Suceava
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
David Gheorghe (Mr.)
INSTITUTO SUPERIOR DE AGRONOMIA
Portugal
EU contribution
€ 11 780,63
Address
Tapada Da Ajuda
1349 017 Lisboa
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Carlos Lopes (Prof.)
NTRAM GENERAL S.A.
Spain
EU contribution
€ 83 150,93
Address
Calle Victor Pradera 45
08940 Cornella De Llobregat Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Anna Szathmary (Ms.)