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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.

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

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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