The paper focuses on the interpretation of a deep learning model for soil classification in Denmark.
The use of interpretation methods represents a great development to 1) improve our understanding of complex model results, 2) develop our knowledge of soil systems and 3) enable us to better explain our findings both to scientific and non-scientific audience.