Datasets - Real-World Training
Summary
Provide, i.e., capture real-world training data sets incl. labels and metadata for training AI algorithms. Data inquisition will cover diffrent agriculture domains, for instance plant and pests imagery, enviromental sensors measurments, farm inventory monitoring, spatial data, or other tailored for customer needs data types.
S00053
Version: 1.11
- arable farming
- horticulture
- greenhouse
- tree crops
- viticulture
- livestock farming
- food processing
- collection of test data
- provision of datasets
- data augmentation
- data analysis
- physical system
- software or AI model
- Location: in Poland, remote
- Offered by: PSNC, L-PIT
Description
As part of the service, we provide the collection and acquisition of data with set parameters from the real world (e.g. selection based on growth stage, weather conditions, disease infections or infested with pests), API access to databases with different contexts (satellite data, internally collected data, public databases, etc.). Data collection is carried out using: - sensors mounted on agricultural machinery - cameras, hyperspectral cameras, LiDAR sensors and - drones: Drones can be used to collect images and videos of crop fields from a bird's eye view. - others to acquire images and videos of crop fields, plants and livestock.