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Data Science in Agriculture. Land use classification

AdvancedGuided Project

In this lab, we will learn the basic methods of images transformation classification.

4.5 (261 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Agriculture

Enrollment Count

  • 2.47K

Skills You Will Learn

  • Data Science, Artificial Intelligence, Machine Learning

Offered By

  • IBM

Estimated Effort

  • 2 hours

Platform

  • SkillsNetwork

Last Update

  • May 11, 2025
About this Guided Project

About

 In this laboratory, we will explore how land use types can be classified based on aerial and satellite photographs of the earth's surface. We will learn to build our own photo masks based on ready-made masks and display them on the screen, we will learn how to upload photos, transform pixels and colors into a data set. Then we will learn how to build a classifier and predict land use masks based on it.


In this lab, we will learn the basic methods of images transformation classification. The laboratory consists of four stages:
  • Download and visualization of images
  • DataSet creation
  • Classification model creation
  • Create your own mask of land use

After completing this lab, you will be able to:

  • Download and transform images.
  • Create a DataSet of the colors of images.
  • Build a classification model.
  • Build land use masks based on a classifier.
 


Instructors

Yaroslav Vyklyuk

Full Professor, Doctor of Computer Science, PhD

Dr. Yaroslav Vyklyuk is a full professor at the Lviv Polytechnic National University, Department of Artificial Intelligence Systems. He is an author of over 210 scientific works, 10 monographs, and books, a member of the Editorial Board of 6 international scientific journals, member of the Academic Councils on protection Ph.D. and DrSc thesis in "Mathematical modeling and computational methods". Research Interests: Data Science, Applied System Analysis, Mathematical Modeling, and Decision Making of Complex Dynamic Systems (socio-economic, geographical, tourist, and crisis systems) using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, Econometrics, Econophysics and other Advanced Mathematical Methods with implementation into information, WEB, and geographic information systems.

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Kateryna Hazdiuk

PhD of Software Engineering

I am an assistant professor at the Yuriy Fedcovych Chernivtsi National University, Software of Computer Systems Department; an author of over 40 scientific works and 10 training manuals. Research Interests: Mathematical Modeling of Complex Dynamic Systems (bio-like systems, socio-economic, geographical systems), Data Science, Decision Making using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, and other methods.

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