The CNN approach with the least depth turns out to be the best performing classifier. The Lucas Coord Conv achieves the best performance regarding the average accuracy. In future work, we can further enhance the introduced Lucas CNN, Lucas Res Net and Lucas Coord Conv and include additional variables of the rich LUCAS dataset.
SOIL CLASSIFICATION AND BEST CROP PREDICTION USING MACHINE LEARNING
SOIL CLASSIFICATION AND BEST CROP PREDICTION USING MACHINE LEARNING can be done with CNN, KNN, Random Forest, Decision Trees, SVM, etc.
