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Artificial intelligence for yield estimations at fruit orchards

Total Cost €


EC-Contrib. €






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

Project "AGERPIX" data sheet

The following table provides information about the project.


Organization address
address: CL DEL NARANJO 6 4 44
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


Take a look of project's partnership.

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


 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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