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DrAhmedKheir/README.md

Hi there 👋

  • Developing hybrid modeling, RS and machine learning on agroforestry, food security and nutrition
  • Developing agroforestry hybrid modeling (Hi-sAFe_ML)
  • Hybridizing CMs, RS, and ML based cloud computing for yield gap analysis
  • Developing hybrid process-based machine learning agroforestry decision support tool (DST)
  • AI agent and LLM in digital agriculture (text analysis, agricultural reports, farmer interviews)
  • Running spatial hybrid models on HPC cluster
  • Cloud computing using GCP, Azure and Amazon
  • Developping microclimate model and weather forecasting by integrating LSTM-AI Agent approach

Popular repositories Loading

  1. AutoML AutoML Public

    H2O offers a number of model explainability methods that apply to AutoML objects (groups of models), as well as individual models (e.g. leader model). Explanations can be generated automatically wi…

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  2. DSSAT2APSIM DSSAT2APSIM Public

    R script to convert DSSAT weather format to APSIM format

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  3. DSSAT2STICS DSSAT2STICS Public

    R script to convert DSSAT weather format to STICS format

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  4. DrAhmedKheir DrAhmedKheir Public

  5. ANN- ANN- Public

    Yield prediction based on Artificial Neural Network

  6. ANN_workflow-documentation ANN_workflow-documentation Public

    Jupyter Notebook