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BACCHUS SIGNED

MoBile Robotic PlAtforms for ACtive InspeCtion and Harvesting in AgricUltural AreaS

Total Cost €

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EC-Contrib. €

0

Partnership

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 BACCHUS project word cloud

Explore the words cloud of the BACCHUS project. It provides you a very rough idea of what is the project "BACCHUS" about.

climate    collect    transitioning    smart    precision    inspecting    autonomy    decision    levels    reproduce    actions    population    besides    additive    benefits    solution    autonomously    workers    gripper    quality    incorporation    geometry    farmer    farmers    direction    sensorial    robotic    navigation    combined    pressure    cognitive    progress    performing    labourers    robots    agents    operations    promises    environment    types    manner    data    adjusting    meet    with    mature    agricultural    productivity    bacchus    intelligent    guarantee    replacing    selective    envisioned    mechatronic    sustainable    harvesting    agriculture    varieties    finesse    vines    full    automation    robot    unlikely    food    crops    leaving    technologies    performance    inspect    demand    automated    improvement    vineyard    skills    bunches    demonstrated    push    bi    grapes    modular    manual    considerable    time    human    presenting    platform    regarding    area    cultivation    legwork    improves    manufacturing    unripe    employing    mobile   

Project "BACCHUS" data sheet

The following table provides information about the project.

Coordinator
ARISTOTELIO PANEPISTIMIO THESSALONIKIS 

Organization address
address: KEDEA BUILDING, TRITIS SEPTEMVRIOU, ARISTOTLE UNIV CAMPUS
city: THESSALONIKI
postcode: 54636
website: www.auth.gr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Greece [EL]
 Total cost 5˙104˙943 €
 EC max contribution 5˙104˙943 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2019-2
 Funding Scheme RIA
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ARISTOTELIO PANEPISTIMIO THESSALONIKIS EL (THESSALONIKI) coordinator 1˙129˙375.00
2    ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS EL (THERMI THESSALONIKI) participant 1˙301˙875.00
3    ROBOTNIK AUTOMATION SLL ES (PATERNA) participant 844˙062.00
4    SAGA ROBOTICS AS NO (AS) participant 816˙000.00
5    UNIVERSITY OF LINCOLN UK (LINCOLN) participant 468˙750.00
6    UNIVERSITA DEGLI STUDI DI TORINO IT (TORINO) participant 374˙881.00
7    KTIMA GEROVASSILIOU OINOPOIIA ANONYMI ETARIA EL (THESSALONIKI) participant 170˙000.00

Map

 Project objective

With the growing population and climate change, agricultural productivity growth is unlikely to meet the increased demand for food. Besides the increasing pressure to produce more, there is an overall need for higher quality and sustainable cultivation. Precision agriculture combined with intelligent robotic technologies can push to that direction. The incorporation of such technologies into agricultural production not only benefits productivity but also improves the working conditions of farmers and labourers. Intelligent systems are becoming the go-to solution to push towards precision agriculture, while a large number of farmer operations are already transitioning to full autonomy. Smart, automated and selective harvesting, in particular, can provide considerable improvement in production leaving the unripe product in the field to mature. However, in order to achieve such automation significant progress is required regarding the cognitive and mechatronic capabilities of the robotic agents replacing the human workers in these tasks, especially in cases where human-like actions are required by the robots. BACCHUS intelligent mobile robotic system promises to reproduce hand harvesting operations, while at the same time take the manual legwork out by autonomously operating in four different levels: i) performing robot navigation with quality performance guarantee in order to inspect the crops and collect data from the agricultural area through embedded sensorial system; ii) performing bi-manual harvesting operations with the needed finesse using a modular robotic platform, iii) employing additive manufacturing for adjusting the robot gripper to the geometry of the different crops, iii) presenting advanced cognitive capabilities and decision making skills. The envisioned system will be demonstrated and evaluated in the challenging vineyard environment inspecting different types of vines and harvesting bunches of grapes of different varieties in a human-like manner.

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The information about "BACCHUS" are provided by the European Opendata Portal: CORDIS opendata.

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