As part of the Grapler project, we organized a test day at one of the designated vineyard parcels within the University of Pécs Viticulture and Oenology Research Institute. Our goal was to thoroughly test the entire Pruning Pipeline, with a specific focus on its online functionality. During the test, we worked with a tablet application that allowed us to capture photos of grapevines using the tablet’s camera. The application then transmitted these photos to the InnovITech Ltd. server-installed Pruning Pipeline, which ran various related artificial intelligence models. The results were sent back to the tablet, where the system displayed the identified and recommended pruning vectors.
At the test site, viticulturists and winemakers analyzed the pruning vectors displayed on the tablet screen while standing in front of the grapevines. Although the suggested pruning recommendations are not yet perfect, the test results were positive overall. Every component of the system functioned flawlessly, and communication between the application and the server was seamless.
Following the testing, based on the images captured, viticulturists and winemakers will create annotations corresponding to their recommended pruning vectors. We will then compare these annotations with the system’s suggestions to precisely evaluate its current reliability. This analysis will guide further improvements.
In summary, the Grapler project’s test day was successful, and ongoing development of the system continues. The fusion of artificial intelligence and viticultural expertise holds promising opportunities for enhancing the efficiency and reliability of grapevine pruning in the future.