Lammert Kooistra
Papers
5
Total Citations
48
H-Index
3
About
Lammert Kooistra is a pioneering researcher at the intersection of environmental monitoring, precision agriculture, and bioinspired robotics. His work primarily focuses on developing innovative sensing technologies for ecosystem management, with key contributions in weed detection using UAV imagery and soft robotics for distributed environmental intelligence. Kooistra's most cited paper (2022, 28 citations) demonstrates the power of deep learning and very high-resolution drone imagery to map *Rumex obtusifolius*, a toxic grassland weed, enabling targeted control that protects livestock and pasture quality. He leads the EU-funded I-Seed project, which pioneers plant seed-like soft robots for non-invasive, scalable environmental monitoring—a radical approach to tracking soil, air, and water quality. His research on lanthanide-doped upconversion microparticles for remote thermometry and the GrapeSLAM dataset for agricultural SLAM further showcases his drive to merge robotics, spectroscopy, and computer vision. With over 48 citations across his top works, Kooistra is advancing "environmental intelligence," offering sustainable, autonomous solutions for biodiversity conservation and climate resilience.
Research Focus
Key Achievements
Top Papers
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