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Introduction to Digital Agriculture

Skoltech course, Introduction to Digital Agriculture, 3 term

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Syllabys

  • Introduction - Course Introduction

    • Introduction to Digital Agriculture
    • Lectures
    • Homeworks
  • Statistics in agriculture - Basic statistics in agriculture and environmental sciences

    • Lecture
    • Seminar R
    • Homework
  • CV for phenotyping - CV and Deep Learning techniques for apple segmentation

    • Lecture
    • Seminar OpenCV
    • Homework
  • Crop models - Crop simulation models

    • Crop simulation models and examples
    • Sensitivity analysis of crop simulation models
    • Homework
  • Agro optimization - Optimization of agricultural practices

    • Gradient-free optimization and crop simulation models
    • Irrigation shedule optimization
    • Homework
  • Computer Vision - Antarctic - Computer Vision - Antarctic Station case

    • Computer vision for greenhouse
    • Introduction to CNN
  • Satellite Imagery - Remote sensing in the agriculture

    • Computer vision and Satellite images for agriculture
    • CNN for crops classification

Course team

  • Mariia Pukalchik - Instructor
  • Dmitrii Shadrin - TA
  • Polina Tregubova
  • Mikhail Gasanov
  • Sergey Nesteruk
  • Nikita Stasenko
  • Svetlana Illarionova
  • Ivan Matvienko
  • and others

Contacts

mikhail.gasanov[a]skoltech.ru

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Skoltech course, Introduction to Digital Agriculture, 3 term

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  • Jupyter Notebook 98.7%
  • Python 1.3%