Mikhail Gasanov's Projects
:books: List of awesome university courses for learning Computer Science!
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.
πΎπ½ Awesome lists about all crop simulation models
CCAI Summer School
Test task for chat text classification problem
Clay minerals dynamica and modelling
A Telegram messenger-based chatbot to simplify crop simulation modeling
Moscow State University - Computer Science
DSSAT Cropping System Model
Forest species mapping supported with machine learning
Telegram Bot for greenhouse plants classification
Blog and CV page
My ML and other HWs
Forest Classification with Machine Learning and Remote Sensing
Student Project
Docker images for running natcap invest
Repository for the Python Crop Simulation Environment
A course in reinforcement learning in the wild
A Python library for crop modeling using DSSAT
python version of RothC 26.3 Soil Carbon Model
Sensitivity analysis of agro-model with Sobol' method
Matplotlib styles for scientific plotting
Sensitivity analysis seminar, part of "Intro to Digital Agro"
this repository is created to accumulate all LaTeX templates needed at Skoltech
Student project - Soil Moisture Dynamics Forecasting Supported with Neural Networsks