AGERPIX SIGNED
Artificial intelligence for yield estimations at fruit orchards
Total Cost €
0EC-Contrib. €
0Partnership
0Views
0AGERPIX 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.
Project "AGERPIX" data sheet
The following table provides information about the project.
| Coordinator |
CODESIAN SOFTWARE TECH SL
Organization address contact info |
| 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.
| # | ||||
|---|---|---|---|---|
| 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. '
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "AGERPIX" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "AGERPIX" are provided by the European Opendata Portal: CORDIS opendata.
More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)
TAPPXSSAI (2019)
Development of a system for automatic ad insertion into on-demand streaming video to provide new monetization mechanisms to the media industry
Read MoreWoodywood pickering (2019)
Bio-based (fully renewable) cost effective Polymer for new generation of ecological Coatings leveraging a disruptive innovation in the use of Pickering emulsion.
Read More