Murcia FOOD 2025

20–21 May 2025 | Murcia, Spain

ProductUpdated on 12 May 2025

Artificial Vision

Antonio Manuel Adrián

Responsable AgriFood en Tupl at Tupl Spain SL

Málaga, Spain

About

At Tupl, we apply no-code artificial intelligence to digitize and optimize key processes in the agri-food sector.

Pre-harvest

Analyzes images and videos to assess fruit ripeness by detecting color, measuring size, and quantifying production volume. Enables fruit counting, grading, and quantification with unprecedented accuracy. Facilitates planning and decision-making, ensuring that the harvest is carried out at the optimal time.

Post-harvest

Ensures quality control of production lines. Automates quality inspection with 100% detection accuracy. Reduces costs and improves the quality of the final product.

Looking for

  • Commercial Agreement with technical assistance

Applies to

  • Digitalisation and process control

Organisation

Tupl Spain SL

Company

Málaga, Spain

Similar opportunities

  • Service

    Data Oriented Artificial Intelligence

    • Development
    • Digitalisation and process control

    Ana Somé

    Technology Transfer Manager - Specialist on Intellectual Property at Universidad de Málaga

    Málaga, Spain

  • Service

    Testing of Developments Targeted at the HORECA Sector

    • Development
    • Food safety and fraud prevention
    • Biotechnology and sustainability

    Javier Campión Zabalza

    Head of Health and Gastronomy Area at GOe Tech Center, Technology Center in Gastronomy, Basque Culinary Center

    Donostia-San Sebastián, Spain

  • Service

    Testing of Developments Targeted at the HORECA Sector

    • Development
    • Food safety and fraud prevention
    • Biotechnology and sustainability

    Ibai Martín

    Business Developer at GOe Tech Center, Technology Center in Gastronomy, Basque Culinary Center

    Donostia, Spain