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Graduate Projects - Details

Computer Science Program

Project ID: 473
Author: Duc Hoai Trinh
Project Title: COLLABORATIVE UNMANNED AERIAL AND GROUND SYSTEM FOR DETECTING INDOOR NURSERY PLANT DISEASES
Semester: 3 2015
Committe Chair: Dr. Ahmed Mahdy
Committee Member 1: Dr. Maryam Rahnemoonfar
Committee Member 2: Dr. Dulal Kar
Project Description: For decades, agriculture has contributed to the production of essential food crops, raw materials for people and also to the climate change and global warming. Agriculture also has become a major contributor of economic development of a nation due to providing more employment opportunities and increasing national agricultural productivity. Because of agriculture’s important roles, growing healthy plants and avoiding plant diseases are the main missions of nursery where plants and trees are propagated in a rigorous process to supply for agricultural demand. This project implements a new approach using a cooperation between Unmanned Vehicle Systems to assist nursery growers in monitoring and detecting unhealthy plant effectively, accurately, promptly and autonomously. By cooperation between an unmanned aerial vehicle (UAV) and an unmanned ground vehicle (UGV) with digital image processing technology, nursery growers will be able to monitor health of plants including environmental parameters quickly with high precision without taking much effort. A Web-based user interface have been designed to display necessary information such as temperature, moisture levels or to help the user in selecting a plant that is suspected to be unhealthy. Keywords: agriculture, nursery, remote sensing, unmanned aerial vehicle, unmanned ground vehicle
Project URL:   473.pdf
 
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