| title: HABIT — Soil Water Retention Predictor | |
| emoji: 💧 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: "4.44.1" | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| models: | |
| - Teamrat/habit | |
| tags: | |
| - soil-science | |
| - pedotransfer-function | |
| - water-retention | |
| short_description: Soil water retention prediction with uncertainty | |
| # HABIT — Soil Water Retention Predictor | |
| Interactive demo for **HABIT** (Hierarchical Attention-Based Inference with Transfer Learning), a pre-trained ensemble model for predicting soil water retention curves. | |
| **Paper:** Ghezzehei TA (2025). *Water Resources Research*. | |
| **Model weights:** [Teamrat/habit](https://huggingface.co/Teamrat/habit) | |
| Enter soil texture (required) plus optional bulk density, organic carbon, and saturated hydraulic conductivity. The model automatically adapts to whatever inputs you provide. | |