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[B] Recognition of Crops Relevant for Food Security from Images – Dataset Compilation and Classification Framework Design

Master Assignment

[B] Recognition of Crops Relevant for Food Security from Images – Dataset Compilation and Classification Framework Design

Type: Master EE/CS/HMI

Period: TBD

Student: (Unassigned)

If you are interested, please contact :

Project Background:
Ensuring global food security requires accurate identification and monitoring of key crops that support populations, especially in regions where agriculture is a primary source of livelihood. In collaboration with researchers from Uganda, this project focuses on leveraging machine learning and computer vision to create systems capable of recognizing crops from images. The aim is to build a dataset and design a classification framework that can identify crops essential for food security, such as rice, maize, and other staples, contributing to agricultural planning and sustainability.


Project Overview:

Why Join?

Who Should Apply?

Those passionate about using AI to address global challenges like food security and sustainable agriculture.