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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.

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

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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