Document Type
Dissertation - Open Access
Award Date
2023
Degree Name
Doctor of Philosophy (PhD)
Department / School
Mechanical Engineering
First Advisor
Marco Ciarcia
Library of Congress Subject Headings
Artificial intelligence -- Agricultural applications.
Spray nozzles.
Spraying and dusting in agriculture.
Spraying equipment.
Pesticides -- Application.
Computer vision.
Deep learning (Machine learning)
Publisher
South Dakota State University
Recommended Citation
Acharya, Praneel, "Computer Vision/AI to Better Understand the Performance of Agricultural Sprayer Nozzles" (2023). Electronic Theses and Dissertations. 620.
https://openprairie.sdstate.edu/etd2/620
Rights Statement
