Introduction to Digital Agriculture

Skoltech course, Introduction to Digital Agriculture, 3 term

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