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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.

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

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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