Artificial intelligence for yield estimations at fruit orchards

Project Information

AGERPIX

Grant agreement ID: 888783

DOI

10.3030/888783

Project closed

EC signature date 4 November 2019

Start date 1 December 2019

End date 29 February 2020

Funded under

• INDUSTRIAL LEADERSHIP - Innovation In SMEs

Total cost

€ 71 429,00

EU contribution

€ 50 000,00

Coordinated by

CODESIAN SOFTWARE TECH SL
Spain

Periodic Reporting for period 1 - AGERPIX (Artificial intelligence for yield estimations at fruit orchards)

Reporting period: 2019-12-01 to 2020-02-29

Summary of the context and overall objectives of the project

The aim of this feasibility study is to assess the technical roadmap needed to extend AGERPIX service to new fruits and varieties, while optimizing the service. On the market side, the aim is to assess the targeted users and markets, planning the commercialization of the service in Europe and LATAM at the same time, to profit from both markets during the same year. On the financial side, the aim is to evaluate the funding needs for the designed upscaling activities while measuring benefits for our end users and revenues for the company.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

The Feasibility Study conducted ensured the technical, commercial and financial feasibility of the AGERPIX service. AGERPIX has strengthened the definition of its value proposition, renaming its services and adding new ones, performing a benchmarking analysis, analyzing the fruit production value chain and measuring the benefits of our services for different stakeholders, to later assess the financial needs to enter different fruit and geographical markets, with a commercialization roadmap and a strengthened business model.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

AGERPIX is an unprecedented all in one solution to count fruit while on the tree, assess the plant vigour and frondosity, and provide information with real time growth measurements in a easy to use data intelligence platform. It enables reducing the orchard management costs a 50%, optimizing staff costs, cold storage, logistics and product placement on the market, it increases the yield of the land by providing with 95% accurate information to make decisions on thinnings and treatments, as a result, more quality fruits are obtained from the same trees with an improved use of resources.
Tested already on TRL7 for apples, and with TRL6 early trials of six other fruits, AGERPIX is positioned to take over a market worth 1,843 M€

AGERPIX new defined services