VINBOT
AUTONOMOUS CLOUD-COMPUTING VINEYARD ROBOT TO OPTIMISE YIELD MANAGEMENT AND WINE QUALITY
| Coordinatore | ATEKNEA SOLUTIONS CATALONIA, SA
Organization address
address: CALLE VICTOR PRADERA 45 contact info |
| 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
| # | ||||
|---|---|---|---|---|
| 1 |
ATEKNEA SOLUTIONS CATALONIA, SA
Organization address
address: CALLE VICTOR PRADERA 45 contact info |
ES (CORNELLA DE LLOBREGAT BARCELONA) | coordinator | 83˙443.61 |
| 2 |
BODEGAS FAMILIARES DE RIOJA PROVIR
Organization address
address: "C PORTALES PLANTA 71, 2" contact info |
ES (LOGRONO LA RIOJA) | participant | 306˙401.97 |
| 3 |
COOPERATIVA AGRICOLA DE GRANJA CRL
Organization address
address: Baldio de Granja contact info |
PT (GRANJA) | participant | 224˙935.00 |
| 4 |
AGRI-CIENCIA CONSULTORES DE ENGENHARIA LDA
Organization address
address: RUA DOS LUSIADAS 52-1 contact info |
PT (LISBOA) | participant | 223˙781.58 |
| 5 |
ASSIST SOFTWARE SRL
Organization address
address: STRADA TIPOGRAFIEI 1 contact info |
RO (SUCEAVA) | participant | 222˙339.31 |
| 6 |
CANTINE D'ALFONSO DEL SORDO SRL
Organization address
address: Contrada S Antonino SS 89 Km 5 contact info |
IT (SAN SEVERO) | participant | 218˙295.00 |
| 7 |
ORGOVANYI GAZDASZOVETKEZET SZOVETKET
Organization address
address: KOLCSEY UTCA 2 contact info |
HU (ORGOVANY) | participant | 214˙955.45 |
| 8 |
ROBOTNIK AUTOMATION SLL
Organization address
address: CALLE BERNI Y CATALA 53 BAJO IZQ contact info |
ES (VALENCIA) | participant | 33˙423.49 |
| 9 |
Instituto Superior de Agronomia
Organization address
address: Tapada da Ajuda contact info |
PT (Lisboa) | participant | 9˙424.51 |
Mappa
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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.'