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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.

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

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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