Cherry CO: a public dataset for cherry detection and segmentation
28 Feb 2025
Each cherry was manually labelled to indicate position, shape and grade, considering aspects such as ripeness, health of the fruit and position in relation to the camera.
28 Feb 2025
Each cherry was manually labelled to indicate position, shape and grade, considering aspects such as ripeness, health of the fruit and position in relation to the camera.
10 Jan 2025
The main objective of the work conducted in Chile in collaboration with the German research center for artificial intelligence was to predict the daily spatial variation of plant water potentials through the use of machine learning models.
09 Jul 2024
The study focused on the cultivars Kordia, Lapins and Büttner's Red. The nuts were scanned and analysed. By examining textures and geometric characteristics, the study developed discriminative models capable of identifying cultivars with high accuracy.