Characterization and classification of fine-resolution soil profile for precision agriculture using random forest and self-organizing map
A. A. Elias, M. Sharma, S. Goel
This study uses random forest and self-organizing map models to classify fine-resolution soil profiles for precision agriculture, finding random forest achieves over 85% prediction accuracy.
bioRxiv · Apr 2, 2024 · PreprintPlant Biology