AI Powered Weed Detection

2026 Projects

Format: On Campus/Online
Number of Interns: 2
Duration of the Internship: 2 Weeks
Start Date: 06/07/2026
Finish Date: 17/07/2026
Application Deadline: June 5, 2026
Project Supervisor: Çiğdem Eroğlu Erdem

Project Description: This project aims to detect weeds from images using artificial intelligence algorithms to protect crop health and minimize pesticide usage. The intern will experience the workflow of an AI project by participating in image collection, labeling, and model performance testing processes.

Research Intern Responsibilities:

Annotation of weed and crop in images.
Observing the training phases of the weed and crop detection deep learning model.
Observing and reporting the performance of the trained weed detection model on test videos.

Required Skills and Qualifications:

Basic knowledge of Python.
Strong interest in Artificial Intelligence and Computer Vision.
Intermediate level of English.

Expected Learning Outcomes:

Understanding the importance and preparation stages of datasets in AI projects.
Learning the main steps of object detection in images.
Experiencing how the Python language is utilized in real-world projects.

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2026 Projects