Given said that, exploring the use of the PIML approach for the digitalization of recycling techniques is expected to aid in the creation of relevant recycling models that incorporate the key aspects of PIML into traditional data driven tools. This is anticipated to result in models that are computationally inexpensive and highly accurate, even if they are trained with smaller datasets than the ones used for traditional ML.