riconoscimento in vigna
riconoscimento in vigna

Innovation in Vineyards: A Software Solution for Scanning and Recognizing Unripe Grape Clusters

In the context of Agriculture 4.0, technological innovation merges with viticultural tradition through a pioneering project. This project aims at transforming vineyard management and promoting innovation in vineyards. 

Developed in collaboration with our customer and the Aitronik team, including  Alessandro Procopio, engineer and Dr. Luigi Truppa, the solution is an advanced software system. It is capable of scanning and detecting grape clusters even during the early stages of ripening. This delivers highly accurate yield forecasts and estimates of the wine production potential, which is a significant part of innovation in vineyards.

The Project

This initiative begins from the growing need to optimize agricultural processes and reduce uncertainties in crop yield estimation. Up to now, conventional forecasting techniques have been based on manual observations. These are often influenced by climatic and phytosanitary conditions. The newly developed software seeks to overcome these limitations while encouraging innovation in vineyards. It provides a scientifically reliable, fully automated solution that generates a “yield map” of the vineyard.

System Architecture and Functionality

The software integrates multiple advanced technologies, including:

  • Computer Vision: Using devices such as RealSense D405 multispectral cameras mounted on drones or tractors, the system captures high-definition images of the vineyard.
  • Machine Learning: Acquired images are processed through artificial intelligence algorithms. These algorithms are capable of identifying grape clusters and distinguishing them from leaves, branches, and soil, even in pre-ripening phases.
  • Automated Yield Estimation: Based on the collected data, the software estimates the number of grape clusters. It also estimates their approximate weight and their spatial distribution along the vineyard rows, generating a detailed projection of the vineyard’s productive capacity.
Santos, T., de Souza, L., dos Santos, A., Avila, S. “Grape detection, segmentation, and
tracking using deep neural networks and three-dimensional association” Computers and
Electronics in Agriculture 170 (2020).

Benefits for Winegrowers

Key advantages of this technological solution include:

  • Improved Harvest Forecasting: Enhanced accuracy in estimating harvest volume and potential wine production is essential for commercial planning. It also helps in supply chain coordination, further highlighting innovation in vineyards.
  • Resource Optimization: Early knowledge of expected yields enables efficient workforce allocation, logistics management, and winery operations.
  • Continuous Monitoring: The software supports ongoing monitoring throughout the growing season, allowing for timely decision-making regarding crop development.

This project exemplifies how the integration of digital technologies into agriculture can enhance both productivity and sustainability without compromising quality. It is a true testament to innovation in vineyards.

 The adoption of such tools strengthens the wine sector’s ability to respond effectively to climate challenges and global competition. It paves the way for a more resilient and data-driven viticulture.

GET UP TO SPEED

Sign up for our newsletter to see where we’re headed next.

Be the first to know when we launch our service in new cities and get the latest updates.