Daniel M. Palmer
Papers
1
Total Citations
16
H-Index
1
About
Daniel M. Palmer is a researcher at the intersection of digital agriculture, bio-inspired sensing, and ecological robotics. His work focuses on developing miniature, animal-mounted sensor systems and autonomous monitoring technologies to capture high-resolution environmental data at scale. Palmer’s most cited study, “System design for inferring colony-level pollination activity through miniature bee-mounted sensors” (2021, 16 citations), introduces a novel approach to tracking pollination behavior by equipping bees with lightweight, non-invasive sensors. This work addresses a critical gap in precision agriculture: the challenge of monitoring complex, cluttered environments without relying on large, costly robot teams. By enabling real-time, colony-level data acquisition, Palmer’s contributions support smarter farm management and more sustainable pollination practices. His research is notable for its interdisciplinary integration of engineering, entomology, and data science, offering scalable solutions for ecological monitoring. With growing recognition in the fields of digital agriculture and environmental sensing, Palmer’s work is paving the way for next-generation, organism-integrated technologies that bridge the gap between biology and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1