Predicting Agricultural Land Suitability and Soil Quality: A Deep Learning Approach for Precision Agriculture
Deep learning models were developed to predict agricultural land suitability and soil quality for precision agriculture. TabTransformer achieved the highest accuracy (97.40%) on augmented data, demonstrating the potential of deep learning for structured agricultural data.
Oct 28, 2025