Crop and Soil Science Seminar – Dr. Owen Duckworth

2215 Williams Hall Auditorium 101 Derieux Place, Raleigh, United States

Dr. Owen Duckworth Professor of Soil & Environmental Biogeochemistry, Crop and Soil Sciences Heavy metal and rock: Understanding the impact of mineral structure on trace metal biogeochemistry Wed Oct 6, 2021 3:30pm – 5pm 2215 Williams Hall and Zoom

International Plant Breeding Seminar Series

NC State University’s Plant Breeding Consortium is pleased to announce its second virtual seminar series in International Plant Breeding. Join us and guest speaker Professor Nigel Maxted (Univ. of Birmingham, UK) who will be speaking about Genetic diversity: maximizing the founding […]

Agri-Life Council

Meeting location is to be determined. For more information, contact the Council’s President (agrilifecouncil@ncsu.edu)

Spend a Day at State!

Participating High school Juniors, Seniors and Transfer students have the opportunity to Spend a Day at State and learn more about the College of Agriculture and Life Science and the Department of Crop and Soil Sciences! The visit includes a […]

NCSU-USDA Hackathon

Mary Anne Fox Laboratories 2791 Pillsbury Cir North Carolina State University, Raleigh, NC, United States

Join NCSU and USDA ARS Ag tech student Hackathon October 9-10, 2021 to accelerate agricultural sustainability using computer vision, machine learning and robotics.

NC State-USDA Hackathon

Marye Anne Fox Science Teaching Laboratory Marye Anne Fox Science Teaching Laboratory, 2791 Pillsbury Cir., Raleigh, NC, United States

Please come join us for a joint NC State University (NC State) and USDA ARS Ag tech Hackathon to accelerate agricultural sustainability using computer vision, machine learning, and robotics. The event will center around uses of the new BenchBot, a low cost […]

NCSU-USDA Hackathon

Mary Anne Fox Laboratories 2791 Pillsbury Cir North Carolina State University, Raleigh, NC, United States

Join NCSU and USDA ARS Ag tech student Hackathon October 9-10, 2021 to accelerate agricultural sustainability using computer vision, machine learning and robotics.