Over the last years the use of Machine Learning in agriculture has increased in order to reach the increasing demands of the food sector. However, over the last few years there have been cases of food fraud, as well as an increased environmental impact in the agricultural sector. Digital Product Passports are more and more used in different industries in order to ensure traceability and validity of the data and the followed procedures. Digital Product Passports are mostly based on blockchain, which offers stakeholders the ability to access information at every part of the life-cycle of the product. Moreover, Digital Product Passports are key components to EU's Green Deal, which aims at achieving Carbon Neutrality and increase circular economy. In this study we outline the different components for the development of a Digital Product Passport, as well as the data that should be used main implementation challenges.