Dirkjan Schokker
Papers
1
Total Citations
6
H-Index
1
About
Dirkjan Schokker is a leading researcher in precision dairy farming, with a focus on integrating sensor technology and data analytics to improve livestock management. His key research areas include real-time animal identification, automated monitoring systems, and the application of computer vision in agriculture. Schokker’s most notable contribution is his work on continuous, real-time cow identification using live-stream video and ear tag reading, a breakthrough that addresses a critical bottleneck in precision farming—linking sensor data to individual animals without manual intervention. This innovation, detailed in his 2022 paper (6 citations), enables seamless, automated data collection for health, behavior, and productivity tracking. While his citation count reflects the emerging nature of this field, his work is foundational for scalable smart farming solutions. Schokker’s research has practical implications for reducing labor, improving animal welfare, and enhancing farm efficiency, positioning him as a key figure in the transition toward data-driven, sustainable agriculture.
Research Focus
Key Achievements
Top Papers
- 1