Kresten Johansen
Papers
1
Total Citations
11
H-Index
1
About
Kresten Johansen is a researcher at the forefront of precision livestock farming, specializing in the development of data-driven methodologies for monitoring and mitigating greenhouse gas emissions from dairy cattle. His primary research areas include sensor data processing, environmental monitoring in agriculture, and the application of machine learning to animal science. Johansen’s major contribution is a pioneering, stepwise pipeline for processing raw data from sniffer-based methane emission sensors, which addresses critical challenges such as instrument monitoring, time synchronization, background concentration estimation, and linking emission records with individual animal IDs. This work, published in 2024 and already garnering 11 citations, provides a robust framework for converting noisy field data into actionable insights, enabling more accurate and scalable methane quantification from dairy operations. By validating this approach on daily and weekly methane records, Johansen has laid essential groundwork for improving emission inventories and developing targeted mitigation strategies. His research is instrumental in bridging the gap between raw sensor outputs and reliable, farm-level decision-making, marking him as a key contributor to sustainable agriculture and climate-smart livestock management.
Research Focus
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Top Papers
- 1