Angella Ndaka

University of Otago

Papers

1

Total Citations

31

H-Index

1

About

Driven by a passion for agricultural robotics and artificial intelligence, Dr. Angella Ndaka’s research focuses on the intersection of computer vision, machine learning, and precision viticulture. Her most impactful contribution to date is the development of a novel computational model for autonomous robotic cane pruning in wine grapevines, a breakthrough that directly addresses the critical labour shortages facing New Zealand’s multi-billion-dollar wine industry. By creating algorithms that can accurately identify and select optimal canes for pruning—a highly skilled task traditionally requiring years of human expertise—her 2023 paper has already garnered 31 citations, signalling its rapid influence on both robotics and horticultural science. This work not only demonstrates her ability to solve complex, real-world agricultural problems but also lays the foundation for a future where autonomous systems can maintain high-yielding vineyards with minimal human intervention. Dr. Ndaka’s research is a vital step toward sustainable, technology-driven agriculture, making her a rising leader in the field of agricultural robotics and smart farming.

Research Focus

Key Achievements

1
H-Index
1
Papers
31
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Modelling wine grapevines for autonomous robotic cane pruning
31 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: University of Otago

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago