Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors

Author: traceyv

Precision Ag Field Day to be held Wednesday, October 16th in Athens

precision-ag-field-day graphic

A Precision Ag Field day will take place on the front lawn of Driftmier Engineering Center, located on D.W Brooks Drive/Agriculture Drive, from 10 a.m. to 2 p.m. on October 16th.  The rain date is October 17th.

The field day will include displays of state-of-the-art equipment used in precision agriculture, equipment under development by UGA graduate students and faculty, and an opportunity to meet members of the new student Precision Ag Club as well as the American Society of Agricultural and Biological Engineers student chapter.  The Fountain Wars student club will conduct a demonstration.

For more information, please contact Dr. George Vellidis.

UGA Receives $10 Million Grant to Fund National GenAI Center

A $10 million grant from the Institute of Education Sciences was awarded to the University of Georgia’s GenAI center, a research and development space aimed at establishing best practices for generative artificial intelligence use in middle school science classrooms.

New Integrative Precision Ag Student Club Holds First Meeting

IPA-Student-Club-first-meeting-collage

Members of the newly formed Integrative Precision Ag (IPA) Student Club had their first official meeting on Tuesday, September, 17. Approximately 45 people attended (20 in Athens, 16 in Tifton and 6 via Zoom).

Enthusiasm was high with the students indicating that networking and opportunities for professional and personal development (workshops, industry contacts, career counseling, etc.) are high on their list of expectations for the club.

Congratulations to Dr. Lorena Lacerda (faculty sponsor) and all of the students for a successful launch!

The IPA Student Club is open to both undergrads and graduate students.

For more information, please contact Dr. Lacerda.

 

Cybernetics for Promoting Precision Poultry Farming

As global demands on the poultry production and welfare both intensify, the precision poultry farming technologies such as computer vision-based cybernetics and robotic system is becoming important in addressing the current issues related to animal welfare and production efficiencies. The integration of computer vision technology has become a catalyst for transformative change in precision farming, […]
Read More

IIPA Members Granted NSF CAREER Award

Qin Lu and Guoyu Lu, both IIPA members and Assistant Professors in the College of Engineering, are among five UGA scholars who have received Faculty Early Career Development Program (CAREER) foundation awards in 2024 from the National Science Foundation for their research and potential as academic role models.

Qin Lu specializes in signal processing, machine learning, and communication. Her research focuses on creating safe and reliable Internet of Things (IoT) applications for important areas like health care, surveillance, and self-driving cars. She aims to develop algorithms that can measure and evaluate their own accuracy and reliability in making decisions.

Using this award, Qin Lu’s next step is pursuing further uncertainty-aware learning and optimization algorithms and exploring how to enhance foundation models with uncertainty quantifiability and reliability for IoT-related tasks.

“My research aspires to advance the current tools for real-time IoT tasks, with direct impact on the number of safety-critical domains, including health care, transportation, and environmental sensing,” she said.

Guoyu Lu researches at the intersection of robotics, perception and vision, and machine learning, specifically developing AI techniques to tackle challenges in robot perception under various sensing modalities. Guoyu Lu’s methods can be applied to a variety of fields ranging from remote sensing to plant science.

“I have established extensive collaborations with researchers across various fields at UGA, such as agriculture, geography, forestry, and environmental science,” he said. “These partnerships have been instrumental in achieving the NSF CAREER Award, which aims to develop AI methodologies for building and assessing 3D models of both underground and aboveground environments at multiple scales and establishing their connections.”

Monitoring Poultry Activity Index with Deep Learning

Animal activities and behaviors provide significant insights into the mental and physical well-being of poultry, serving as a key indicator of their health and subjective states. For instance, predicting indoor particulate matter concentration in poultry houses can be informed by broiler activity and ventilation rates. Additionally, locomotor activity acts as a proxy for the gait […]
Read More