The Spring 2018 Unmanned Aerial Vehicle attended the 2018 World AG Expo, where they learned about the growing agriculture industry.
2018 World Ag Expo
The Unmanned Aerial Vehicle Team tables at Bobcat Day

First Test Flight of the Semester

Preping for flight

Progress in the Making

Successful dumby load and autonomous flight test in one day!

Talking with our community partner

Preparing for future plans

UC Receives Sec. 333 Approval for Drone Use

The FAA has authorized UC Section 333 exemption request! Congratulations to all UC Drones.

Leave a lasting impact on your community and gain valuable hands-on experience

Students enrolled in Engineering Service Learning (ENGR 097/197) work on a semester long projects to design solutions for challenges faced by local non-profit organizations and gain experience while developing hands-on professional and technical skills. Project teams are staffed and lead by students providing a real-word opportunity for leadership development. To learn more about our teams, click here.

UAV Team

The Unmanned Aerial Vehicle (UAV) Engineering Service Learning Team was created to support the local farming community by developing powerful yet affordable precision agriculture solutions for small scale farmers. We will be cooperating with the University of California, Merced County Cooperative Extension Office (MCCE) to develop strategies and technologies that will assess the needs of our local small scale growers. The first focus of the project is to detect leaf scorching in grape vines through aerial photography. To achieve this, the team has split into two sub-teams. The imaging sub-team, is in charge of researching and prototyping algorithms with the capability to detect signs of leaf scorching. The imaging sub-team will also be conducting research and live interviews to attain a better understanding of the impact of leaf scorching throughout the community of local farmers. The Platform sub-team is in charge of ordering and assembling a UAV capable of safely and reliably carrying the imaging sensor. The platform team will also be responsible for programming and customizing the UAV’s autonomous flight software. Thus far, the team has purchased an imaging sensor, and has begun programming it to autonomously take photographs during flight. Research concerning leaf scorching will be an ongoing duty throughout the semester, and work on prototyping the image analysis software has begun. Concluding the semester, the UAV team will have completed the initial test runs of the UAV platform and the image analysis software.



**Look at the Events section for further details