Provision of cloud-based data storage

Provide data storage infrastructure for testing and experimentation activities related to AI, simulations and data processing results. 

Interested in this service? Contact us at agrifoodtef@pit.lukasiewicz.gov.pl 

Overview

Within the service we provide: - remote access to the disc space, allowing for safe storage of data (e.g., from sensors, photos from specialised cameras, weather data, satellite data, archive historical crop yields, etc.). - Depending on the needs, the available disc space can range from several gigabytes to tens, if not hundreds, of terabytes. - The stored data may be used directly by the customer or may be used in other services (this refers to using data for AI/ML model training, testing and validation for applications such as precision farming, yield prediction and pest detection). - The ability to store both structured (e.g., CSV, SQL) and unstructured data (e.g., images, videos)

More about the service

Discover more about our service, including how it can benefit you, the delivery process, and the options for customisation tailored to your specific needs!

This service allows for storing large amounts of data. It is an alternative to commercial services such as Google Drive, AWS S3 or Microsoft 365 or Azure. Thanks to our service, the customer does not have to spend money on such previously mentioned solutions, enter into contracts for a specific period and commit to a subscription business model.

It is a quite simple service that provides our disc space for collecting data, storing it and, for example, then using it to train AI/ML algorithms.

Access to the disk space will be provided immediately, remotely, after the conclusion of the contract. We assume that the minimum access will last several months up to a maximum of a year.

Customer can choose the size of the shared data storage to meet his needs.

It is also important to define whether the stored data will be structured (e.g CSV, SQL) or unstructured (photos, videos, etc.)
Service provider
Lukasiewicz Poznanski Instytut Technologiczny
Location
Remote
Type of Sector
Arable farming
Food processing
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture
Type of service
Data analysis
Accepted type of products
Data