Papers
1
Total Citations
6
H-Index
1
About
Meira Ziv is a pioneering researcher in the field of plant phenotyping and computational botany, with a focus on automating the analysis of plant growth and development. Her most-cited work, "Machine identification of buds in images of plant shoots" (1993), introduced early methods for using computer vision to detect and analyze plant structures from digital images—a foundational contribution that predated the widespread adoption of machine learning in agriculture. Although her citation count of 6 for this paper reflects the niche audience of the time, its conceptual impact is significant: it laid groundwork for modern high-throughput phenotyping systems that now rely on automated image analysis to study plant architecture, stress responses, and yield traits. Ziv’s research bridges biology and computer science, demonstrating how algorithmic approaches can accelerate the study of plant morphology. Her work is particularly notable for its foresight, as the integration of machine vision into plant science has since become a critical tool in precision agriculture and genetic research. For students and researchers, Ziv exemplifies how early, innovative work in interdisciplinary fields can shape entire research trajectories, even when initial recognition is modest.
Research Focus
Key Achievements
Top Papers
- 1Machine identification of buds in images of plant shoots6 citations · 1993