Data Science in Agriculture. Land use classification
Explore how data science techniques can be applied to agriculture for land use classification. Learn to process satellite and geospatial data to classify land usage, monitor crop health, and improve agricultural planning and decision-making.
At a Glance
In this lab, we will learn the basic methods of images transformation classification.
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.
There are no reviews yet.