Backend

Introduction

This project is designed for the identification of contours, crops, and crop yield of land plots.

Key Features

• Identification of contours, crops, and crop yield.
• Downloading of satellite images using sentinel2_downloader.
• Calculation of indices for contours using satellite images.
• Determination of the elevation above sea level in Kyrgyzstan using elevation-Kyrgyzstan.
• Management of data by regions, districts, and land plots.
• Reporting.

Technologies

• Django: The primary web application framework.
• Python3.10: The main programming language.
• GDAL: A library for processing geospatial data.
• Docker/Docker Compose: For containerizing the application and its dependencies.
• PyTorch/YOLOv8: For training and applying machine learning models for the identification of contours, crops, and crop yield.
• sentinel2_downloader: For downloading satellite images.
• elevation-Kyrgyzstan: For determining the elevation above sea level in Kyrgyzstan.

Navigation

1. Introduction
2. Project Architecture
3. Navigation for developers