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AGERPIX SIGNED

Artificial intelligence for yield estimations at fruit orchards

Total Cost €

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EC-Contrib. €

0

Partnership

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 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.

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

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. '

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

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