Identification & Background
Project Name: AcornSelectAi – Acorn Kernel Selection System Using Artificial Intelligence
Project Code: 21144_AcornSelectAI | Call MPr-2023-7
Main Objective: AcornSelectAi aims to develop a system that proposes an intelligent and automated solution for the separation, analysis and selection of high-quality acorn kernels, offering efficiency, accuracy and sustainability. The application of machine learning (ML), reinforcement learning and cross-domain adaptation algorithms makes AcornSelectAi a robust, scalable and versatile solution, able to adapt to different industrial contexts and products, including other nuts. Multispectral processing technologies, combined with the use of advanced algorithms, allow you to analyze complex parameters such as color, texture, brightness, fluorescence, absorbance, and contaminant identification. This level of analysis ensures a significant reduction in waste and increases the acceptance rate of high-quality kernels, raising the standards of agri-food processing. The AcornSelectAi system also stands out for the implementation of reinforcement learning techniques, which allow continuous improvement with feedback from operators, and for the use of cross-domain learning methodologies, which ensure adaptability to different production conditions.
Consortium:
HRV – EQUIPAMENTOS DE PROCESSO, S.A (Líder)
LANDRATECH, LDA Instituto Politécnico de Bragança
MORE – LABORATÓRIO COLABORATIVO MONTANHAS DE INVESTIGAÇÃO – ASSOCIAÇÃO
INSTITUTO DE TELECOMUNICAÇÕES
UNIVERIDADE DA BEIRA INTERIOR
Approval date:29 /05/2025
Start date: 01/10/2025
End date: 30/09/2028
Total Budget: 1.386 684,16 €
Funding supported: 1.069743,82 €
The objectives of the AcornSelectAi project are deeply aligned with the impacts which involve both technological innovation and the valorization of a raw material and endogenous resource of high value and great importance, such as acorns.
