𝑓𝑓𝑜𝑜𝑜𝑜𝑡𝑡𝑓𝑓𝑒𝑒𝑓𝑓𝑛𝑛𝑡𝑡 𝑒𝑒𝑒𝑒𝑟𝑟𝑠𝑠𝑤𝑤𝑡𝑡𝑓𝑓𝑜𝑜𝑛𝑛 (%) = (Python API) for multi-objective optimization, sklearn-genetic-opt 87 for hyperparameter optimization for random forest, pymcdm for TOPSIS. Matplotlib 89 and seaborn 90 libraries were employed for visualization. SimaPro 9.4.0.2 with impact assessment method ReCiPe2016 (H) was used to calculate the environmental impact of the supply chain of the feed classes. Rstudio (2022.02.2+485) was used to calculate the total impact of the classes per grid cell in the country of origin, using the following packages: Terra, sp, readxl and sf.