sasakar/HydroSense-Kenya
Domaine:
agricultureType de record:
project
Créateur:
sas
Hôte:
### Project Directory Structure
```plaintext
HydroSense-Kenya/
|-- data/
| |-- raw/
| | |-- weather_daily.csv
| | |-- soil_sensor_data.csv
| | |-- crop_zone_parameters.csv
| |-- processed/
| |-- cleaned_irrigation_dataset.csv
|
|-- notebooks/
| |-- Level_1_Problem_Framing.ipynb
| |-- Level_2_Vectorization_and_Error.ipynb
| |-- Level_3_Numerical_Methods.ipynb
| |-- Level_4_Data_Analysis_and_Visualization.ipynb
| |-- Level_5_Simulation_and_Optimization.ipynb
| |-- Level_6_Final_Integration.ipynb
|
|-- src/
| |-- data_cleaning.py
| |-- numerical_methods.py
| |-- simulation.py
| |-- optimization.py
| |-- visualization.py
|
|-- tests/
| |-- test_root_finding.py
| |-- test_integration.py
| |-- test_linear_systems.py
| |-- test_simulation.py
|
|-- reports/
| |-- final_scientific_report.pdf
| |-- presentation_slides.pdf
|
|-- AI_USE_LOG.md
|-- README.md
```
### `requirements.txt`
This manifest locks down the required libraries and specific versions to prevent environment fragmentation or broken package dependency chains.
```text
numpy==1.26.4
scipy==1.12.0
pandas==2.2.1
matplotlib==3.8.3
pytest==8.0.2
seaborn==0.13.2
```
# HydroSense-Kenya: Advanced Scientific Computing Framework
This repository hosts the data pipeline, numerical calculation suites, and predictive modeling frameworks engineered for the **ICS 2207 Scientific Computing Capstone Project**. The system couples real-world IoT soil metrics with daily atmospheric datasets to simulate water-balance dynamics and manage operational agricultural risks.
## 🚀 Getting Started
### 1. Prerequisites & Environment Setup
Ensure you have Python 3.10+ installed. Isolate your dependencies using a Python virtual environment to guarantee reproducibility:
```bash
# Clone the repository and navigate to the root directory
cd hydrosense_kenya
# Initialize the virtual environment
python -m venv venv
# Activate the virtual environment
# On macOS/Linux:
source venv/bin/a …