AGRARIAN-Led Demo at Historic Portuguese Vineyard Successfully Demonstrates Advanced Smart Farming Solutions with 6G-PATH and COP-PILOT
QUINTA DA PACHECA, Portugal – November 18 – The AGRARIAN European Project, funded under Horizon Europe, successfully orchestrated a demonstration at the Quinta da Pacheca vineyard in Portugal on November 18th. This pivotal event, held as part of the larger Euro Tech Day, provided an important showcase for how advanced digital farming solutions are poised to revolutionize viticulture and smart agriculture.
The demo was a robust collaborative effort, planned and executed by the AGRARIAN consortium, which brought together technology and expertise from other EU projects, including 6G-PATH and COP-PILOT.
The event drew significant interest from the agricultural and technology sectors, hosting two separate groups of attendees, totaling approximately 60 people. The focus was on showcasing digital solutions for viticulture and advanced, focusing on Health monitoring, Yield estimation, and Irrigation.
Technological Demonstrations
The pilot focused on the three core demonstrations of smart vineyard management:
- Drone-Based Vines Health Monitoring: A drone flight gathered high-resolution data, which was transmitted wirelessly to a local edge device. The edge device performed immediate Normalized Difference Vegetation Index (NDVI) processing, a key metric for crop health. The analysis was then uploaded to a Gamaya cloud environment and visualized for participants.
- Advanced Soil Moisture Mapping: A demonstration measured current soil moisture and temperature conditions by using a soil moisture sensor on the vineyard. The data was transferred via the edge device to the core platform. Using a sophisticated data fusion algorithm (Aquaview analytic), a comprehensive soil moisture map for the entire vineyard was generated, which was then visualized via the Gamaya user interface.
- Yield Prediction Interface: A user interface was showcased, providing participants with a detailed view of the NDVI analysis for Vines Health monitoring, alongside advanced Yield Prediction models.
The feedback for the use of digital technologies was gathered through a post-event survey. Additionally, targeted interviews were conducted with interested participants to gather in-depth qualitative feedback.
