Skip to content
View mishagrol's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report mishagrol

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
mishagrol/README.md

A passionate environmental data scientist from Moscow

  • 🔭 I’m currently working on Optimization in Agriculture

  • 👯 I’m looking to collaborate on Machine learning for global scale crop yield forecast

  • 💬 Ask me about Python, Machine Learning and Crop simulation models

  • If you're interested, you can see my publications at Google Scholar.

  • 📫 How to reach me mikhail.gasanov@skoltech.ru

Languages and Tools:

bash docker figma gcp git illustrator jekyll kubernetes linux python pytorch scikit_learn

mishagrol

Pinned Loading

  1. EDSEL-skoltech/awesome_crop_models EDSEL-skoltech/awesome_crop_models Public archive

    🌾🌽 Awesome lists about all crop simulation models

    38 10

  2. pyRothC pyRothC Public

    python version of RothC 26.3 Soil Carbon Model

    Jupyter Notebook 16 7

  3. EDSEL-skoltech/multi_objective_irrigation EDSEL-skoltech/multi_objective_irrigation Public archive

    Multi-objective irrigation optimization using a crop simulation model and historical weather data

    Jupyter Notebook 16 9

  4. EDSEL-skoltech/Intro_to_Digital_Agriculture EDSEL-skoltech/Intro_to_Digital_Agriculture Public archive

    Skoltech course, Introduction to Digital Agriculture, 3 term

    Jupyter Notebook 6 5

  5. SoilMoistureForecasting SoilMoistureForecasting Public

    Student project - Soil Moisture Dynamics Forecasting Supported with Neural Networsks

    Jupyter Notebook 5 1

  6. Awesome-Geospatial-ML-Toolkit Awesome-Geospatial-ML-Toolkit Public

    Awesome Environmental Geospatial is a curated collection of cutting-edge tools, resources, and projects that harness the power of geospatial technologies to address pressing environmental challenges.

    4 1