Raspberry Pi Real Time Image Processing
Using Drones and AI to Identify Crops
Raspberry Pi Real Time Image Processing
Pesticides are currently being sprayed manually by small, personal planes. Our goal is to implement a pre-trained artificial neural network to detect various types of crops and weeds by integrating a Raspberry Pi and Intel Neural Compute Stick 2. We can use this small computing system atop a drone to detect weeds and trigger a spraying mechanism to save farmers time and money. Our weed spraying drone will be easier to store, cost-effective, more accurate, and require brief human interaction.
Team Members
Victoria Gehring, Computer Science
Isabel Hinkle, Computer Science
Jon Gift, Computer Science
Oshan Karki, Computer Science
Client/Sponsor
Dev Shrestha, U of I Department of Chemical and Biological Engineering
Faculty Advisor
Bruce Bolden, U of I Department of Computer Science