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Data-Driven Intelligent Agricultural Systems Symposium

February 9, 2024 | 8:30 AM – 4:30 PM

Annenberg Presidential Conference Center

College Station, TX

  • Agenda
  • Venue
  • Poster Abstract Submission
  • Register

About the Symposium

The agricultural industry has embraced Smart Farming technologies over the last decade to optimize the quantity and quality of production in addition to minimizing the environmental impact of agriculture.

In line with this, the Texas A&M College of Agriculture and Life Sciences, Texas A&M AgriLife and Texas A&M Institute of Data Science are hosting this symposium to bring together Smart Farming researchers and practitioners from Texas A&M AgriLife, Engineering, and Industry to share their research and futuristic vision for smart farming in Texas and beyond.

Data-Driven Precision Agriculture

Precision
Livestock Management

Communication & Coordination of Agricultural Robots

AI Application for Crop Monitoring & Management

Use & Value of Data in the
Supply Chain

Agenda

Morning

8:30 – 9:00 a.m.

Welcome
On-site Registration & Morning Coffee

9:00 – 9:20 a.m.

“Vision of Smart Farming for Agriculture”
Drs. Cliff Lamb & Nick Duffield (Directors, AgriLife Research & TAMIDS)

9:20 – 9:50 a.m.

“Development of Climate Smart Beef, and Bison Commodities in the US Northern Great Plains”
Dr. Hector Menendez, Animal Science, South Dakota State University

9:50 – 10:20 a.m.

“Computer Vision for Dairy Health and Management”
Dr. Ilan Halachmi, Agricultural Research Organization, Volcani Center

10:20 – 10:50 a.m.

“Data Sharing Opportunities for Beef Value Chains”
Dr. Francisco Maroto-Molina, Animal Science, University of Cordoba (Spain)

10:50 – 11:20 a.m.

“Challenges and Opportunities of Swarm Robotics and Its Real-World Application in Agriculture”
Dr. Kiju Lee, Texas A&M Multidisciplinary Engineering Technology

11:20 – 11:50 a.m.

Lunch
(Sponsored by Tandem Ventures & Merck Animal Health)

11:50 – 12:30 p.m.

Discussion Panel
Morning Speakers; Moderated by Dr. Luis Tedeschi

Afternoon

12:30 – 12:40 p.m.

“Texas A&M College of Agriculture and Life Sciences’ Vision for Smart Agriculture”
Dr. Patricia Klein, Executive Associate Dean, College of Agriculture and Life Sciences, TAMU

12:40 – 1:10 p.m.

“Network Connectivity for Agriculture“
Mr. Steven Irwin, Government Manager Solutions Architect, Verizon

1:10 – 1:40 p.m.

“Cost-Benefit of Digital Ag Tech: Farm Data Winners and Losers“
Dr. Terry Griffin, Agricultural Economics, Kansas State University

1:40 – 2:10 p.m.

“Climate-smart Agriculture Production in Texas”
Dr. Julie Howe, Soil Science, Texas A&M University

2:10 – 2:40 p.m.

“Data Science for Agricultural Extension”
Dr. John Gottula, Director of Crop Science, Agriculture, SAS Institute

2:40 – 3:10 p.m.

Discussion Panel
Afternoon Speakers; Moderated by Dr. Juan Landivar

3:10 – 4:30 p.m.

Posters, Coffee, and Networking

Venue

Annenberg Presidential Conference Center
Texas A&M University, 4347, 1002 George Bush Dr W,
College Station, TX 77843

Free parking will be available in the North parking lot, Lot 43.

Suggested Accommodations

Texas A&M Hotel and Conference Center
177 Joe Routt Blvd, College Station, TX 77840

The Stella Hotel
4100 Lake Atlas Dr, Bryan, TX 77807

Poster Abstract Submission

The organizing committee invites researchers and practitioners to submit an abstract for consideration to present a poster at the Texas A&M Data-Driven Agricultural Systems symposium. The symposium aims to bring together experts, researchers, and professionals across the Texas A&M university system to share insights, discoveries, and advancements in the realm of data-driven approaches relevant to agricultural systems. Posters are an excellent opportunity to showcase your research, foster discussions, and connect with fellow participants.

View the poster guidelines and submit an abstract below!

Abstract Submission Deadline: January 30th, 2024, 12 PM CST

Submit a Poster Abstract

Register

Register today to attend the Data-driven Intelligent Agricultural Systems Symposium. The cost of in-person attendance is $20 per person, and virtual attendance is $15.

For questions regarding event details, please contact [email protected].

Register Now
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