About Me
Dr. Sarah Johnson is a Professor of Computer Science and Agricultural Engineering at Cornell University. Her research focuses on developing innovative computer vision and cyber-physical systems for precision agriculture, with the goal of making farming more efficient and sustainable.
Education
- Ph.D. in Computer Science, Stanford University, 2010
- M.S. in Agricultural Engineering, UC Davis, 2006
- B.S. in Computer Engineering, MIT, 2004
Research Interests
- Computer Vision for Plant Phenotyping
- Autonomous Agricultural Robotics
- Machine Learning in Precision Agriculture
- Cyber-Physical Systems for Smart Farming
Current Projects
- Smart Crop Monitoring: Developing AI-powered systems for real-time crop health monitoring
- Autonomous Harvesting: Creating robotic systems for selective harvesting
- Digital Twin Agriculture: Building virtual models of agricultural systems for optimization
Selected Publications
- Johnson, S., et al. (2023). “Deep Learning for Plant Disease Detection.” Nature Machine Intelligence
- Johnson, S., & Chen, M. (2022). “Robotic Systems in Modern Agriculture.” IEEE Robotics and Automation Letters
- Johnson, S., et al. (2021). “Computer Vision Applications in Precision Agriculture.” Agricultural Systems
Teaching
- CS 4320: Computer Vision
- AGEN 5100: Precision Agriculture Systems
- CS 6750: Machine Learning for Agriculture
Contact
Feel free to reach out if you’re interested in joining our lab or collaborating on research projects. I’m particularly interested in working with students who are passionate about applying technology to solve agricultural challenges.