Alternatives and similar repositories for Soil-Erosion-Prediction-using-ensemble-learning-models.

Users that are interested in Soil-Erosion-Prediction-using-ensemble-learning-models. are comparing it to the libraries listed below

• Geraldine-Winston / Fracture-Detection-in-Borehole-Images-using-CNN-based-object-detection.
  ☆17Updated 6 months ago
• Geraldine-Winston / Wind-Energy-Potential-Mapping-using-deep-CNNs-on-spatial-temporal-data.
  ☆23Updated 6 months ago
• Geraldine-Winston / Prediction-of-Salinity-Intrusion-in-Coastal-Aquifers-using-ML-time-series-forecasting.
  ☆16Updated 6 months ago
• Geraldine-Winston / Lithological-Classification-from-Hyperspectral-Data-using-Deep-Learning-Autoencoders.
  ☆19Updated 6 months ago
• Beckybams / AI-Based-Coral-Reef-Health-Assessment
  ☆22Updated 6 months ago
• Geraldine-Winston / Coral-Bleaching-Prediction-under-future-warming-scenarios-using-ML-classifiers.
  ☆23Updated 6 months ago
• Beckybams / Carbon-Footprint-Estimation-Tool
  ☆24Updated 6 months ago
• Beckybams / Soil-Quality-Classification
  ☆22Updated 6 months ago
• Beckybams / Ocean-Temperature-Anomaly-Detection
  ☆22Updated 6 months ago
• Beckybams / Wildfire-Risk-Prediction
  ☆24Updated 6 months ago
• Beckybams / Smart-Composting-System-
  ☆32Updated 6 months ago
• Beckybams / Forest-Fire-Spread-Modeling
  ☆31Updated 6 months ago
• Beckybams / ML-Driven-Climate-Policy-Impact-Analysis
  ☆24Updated 6 months ago
• Beckybams / AI-Powered-Agroforestry-Planning-
  ☆31Updated 6 months ago
• Beckybams / Crop-Disease-Detection-via-Image-Processing
  ☆32Updated 6 months ago
• Beckybams / Renewable-Energy-Generation-Forecasting-
  Renewable-Energy-Generation-Forecasting uses AI and statistical models to predict solar, wind, and hydro power output. By analyzing weath…
  ☆33Updated last week
• Beckybams / Crop-Yield-Prediction-with-Remote-Sensing-
  ☆22Updated 6 months ago
• Beckybams / Demand-Side-Energy-Management-with-AI-
  AI-driven demand-side energy management optimizes how consumers use electricity by forecasting demand, shifting loads, and automating ene…
  ☆40Updated last month
• Beckybams / Real-Time-Leak-Detection-in-Infrastructure
  Real-Time-Leak-Detection-in-Infrastructure uses sensors, machine learning, and data analytics to continuously monitor pipelines and water…
  ☆40Updated last month
• Beckybams / Glacier-Melting-Prediction
  ☆23Updated 6 months ago
• Beckybams / Chart-for-Water-Parameters-
  A Chart for Water Parameters is a visual representation of key water quality indicators, such as pH, turbidity, dissolved oxygen, conduct…
  ☆22Updated 10 months ago
• Beckybams / Precision-Irrigation-using-AI
  ☆22Updated 6 months ago
• Beckybams / Battery-Health-Prediction-for-Solar-Systems
  Battery Health Prediction for Solar Systems uses machine learning to analyze voltage, current, temperature, and usage patterns to estimat…
  ☆32Updated last week
• Beckybams / Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-Change
  The dynamic nature of forecasting shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and mac…
  ☆21Updated 9 months ago
• Beckybams / Soil-Moisture-Prediction-from-Satellite-Data
  ☆32Updated 6 months ago
• Beckybams / Biodiversity-Monitoring-using-Acoustic-Data
  ☆23Updated 6 months ago
• Beckybams / Algal-Bloom-Forecasting
  ☆22Updated 6 months ago
• Geraldine-Winston / Fault-Detection-in-Seismic-Data-using-Deep-U-Net-segmentation.
  ☆18Updated 6 months ago
• Beckybams / Crowdsourced-Environmental-Issue-Detection
  This project leverages crowdsourced data and machine learning to detect and classify environmental issues. It empowers communities and or…
  ☆33Updated 2 months ago
• Beckybams / Early-Warning-System-for-Climate-Disasters
  ☆24Updated 6 months ago