Opendata, web and dolomites
  1. home
  2. trasparenza
  3. open h2020
  4. agerpix

AGERPIX SIGNED

Artificial intelligence for yield estimations at fruit orchards

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 AGERPIX project word cloud

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

extremely    spanish    inaccurate    machinery    global    warehouses    strategy    jobs    fruit    cold    accurate    vigour    fruits    1    counting    adaptations    commercialization    nutrients    thinning    service    yield    precision    estimation    validation    ebit    codesian    517    analysed    varieties    95    practical    140ha    diameter    french    size    ongoing    created    plant    portfolio    operations    provides    consuming    gathering    160m    workers    treatments    table    envision    apple    2024    intensive    124    estimations    mention    50    quality    business    artificial    nurfri    season    minor    worth    time    grapes    reduce    extensive    storage    customer    299    grape    revenues    markets    careful    plan    crop    agerpix    labour    variables    strengthen    tangerine    successful    logistical    9m    peach    intelligence    data    replicated    blue    algorithms    intensity    packing    validations    growers    54    planning    producers    harvest    piloting    manual    easily    materials    heights    leafiness    whale    mid    force    orchard    38m    b2b    health    predictions    decisions    sensor    avocado    ranges    ai    5m   

Project "AGERPIX" data sheet

The following table provides information about the project.

Coordinator		 CODESIAN SOFTWARE TECH SL 

Organization address
address: CL DEL NARANJO 6 4 44
city: GOLMAYO (SORIA)
postcode: 42190
website: n.a.

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 Spain [ES]
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-12-01   to  2020-02-29

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CODESIAN SOFTWARE TECH SL ES (GOLMAYO (SORIA)) coordinator 50˙000.00

Map

 Project objective

'Crop yield estimation is an important task in apple orchard management. The current practice of yield estimation is based on manual counting of fruits by workers. It is extremely time-consuming, labour-intensive, highly inaccurate, and it is not practical for large fields. Agerpix provides accurate predictions to help growers improve fruit quality and reduce operating costs by making better decisions on intensity of fruit thinning and plant nutrients and treatments (mid-season), size of the harvest labour force, machinery and materials and logistical planning of storage, packing and cold warehouses, not to mention the development of a commercialization strategy tailored to the expected production, achieving a 50% cost reduction in orchard management operations. Artificial Intelligence algorithms are used to identify, measure diameter ranges, and envision the fruit leafiness and vigour, providing yield estimations over the plant heights and plant health variables. Several piloting projects for the yield estimation system at top apple producers (Nurfri - #1 Spanish and Blue Whale #1 French among others) have been deployed with 140ha analysed with a precision of 90-95%. AGERPIX system has been adapted to four different apple varieties. After successful validation activities, CODESIAN is developing a customer portfolio worth 38M€ in five years. However, because AGERPIX is offering as a B2B service and because the technology can be easily replicated to other fruits (ongoing validations with table grapes and peach with minor AI/sensor adaptations), a careful scale-up design to strengthen the business plan towards covering global needs fruit markets (apple: 517 M€; table grape: 124 M€; peach: 160M€; tangerine: 299 M€; avocado: 54 M€) is needed. After further data gathering through extensive validations across new fruits, CODESIAN projects 7,9M€ revenues with 4,5M€ EBIT and 60 new jobs created by 2024. '

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "AGERPIX" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

TAPPXSSAI (2019)

Development of a system for automatic ad insertion into on-demand streaming video to provide new monetization mechanisms to the media industry

Read More  

LTS (2020)

LEARNING TO SLEEP: INCREASING HEALTH THROUGH BETTER SLEEP

Read More  

VINOQUANT11SUPERPLUS (2019)

A digital based system for measuring, showing and regulation of the complexe system of wine feremtation with high precision via a Bluetooth -Refractometer, a Software and a Bluetooth Thermostat

Read More