HNSE-P2-7. Drones for Monitoring and Early Disease Detection in Plants and Agriculture

Armaun Zargari1
Faculty Mentor: Paul Oh, Ph.D.1
1Howard R. Hughes College of Engineering, Department of Mechanical Engineering

The current procedures in place for monitoring crops and plant health are time consuming and labor intensive. It is crucial to diagnose areas of unhealthy vegetation quickly to limit the amount of permanent damage done as well as aiding in the planning for future planting locations. The entire process may be made more efficient with the utilization of drones that provide higher levels of accuracy, speed, and a larger field of view than traditional methods. These drones will be mounted with thermal and RGB cameras that will have the ability to spot irregularities in the wavelengths that are absorbed and reflected by the plants.


Nov 15 - 19 2021


All Day


HNSE: Poster Session 2
The Office of Undergraduate Research


The Office of Undergraduate Research


3 Replies to “HNSE-P2-7. Drones for Monitoring and Early Disease Detection in Plants and Agriculture”

  1. Hi Armaun,
    Can you think of other limitations or challenges that might hinder drones from monitoring disease in plants? Do you have to wait for “the right day” to fly the drone?
    Any estimate on how much faster the drone would be to monitor a field compared to a human doing it?

  2. Hello everyone!

    I had a great time and learned a lot with this recent research experience and I hope you enjoyed my presentation! If you have any questions or feedback, please feel free to reach out!
    Thank you!

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