AcornSelectAi

AcornSelectAi aims to develop a system that provides an intelligent, automated solution for the separation, analysis and selection of high-quality acorn kernels, offering efficiency, accuracy and sustainability. The application of machine learning (ML) algorithms, reinforcement learning and cross-domain adaptation makes AcornSelectAi a robust, scalable and versatile solution, capable of adapting to different industrial contexts and products, including other nuts. Multispectral processing technologies, combined with the use of advanced algorithms, enable the analysis of complex parameters such as colour, texture, brightness, fluorescence, absorbance and the identification of contaminants. This level of analysis ensures a significant reduction in waste and increases the acceptance rate of high-quality kernels, raising standards in agri-food processing. The AcornSelectAi system also stands out for its implementation of reinforcement learning techniques, which enable continuous improvement through operator feedback, and for its use of cross-domain learning methodologies, which ensure adaptability to different production conditions.