About

Dr. Victor Bloch is a pioneering researcher at the intersection of agricultural engineering and robotics, whose work is reshaping precision agriculture and smart farming. His primary research areas include agricultural robotics, computer vision, and precision livestock management, with a focus on developing autonomous systems for complex field environments. Dr. Bloch’s most impactful contribution is his methodology for orchard architecture design tailored to optimal harvesting robots, a foundational paper that has garnered 67 citations and established design principles for agricultural manipulators. He further advanced the field with a real-time CNN-based computer vision system for open-field strawberry harvesting robots (22 citations), demonstrating practical AI deployment in agriculture. In livestock management, Dr. Bloch developed an innovative, low-cost Bluetooth Low Energy tag system for monitoring cow location in barns (37 citations), enabling effective behavior recognition and farm management. His work on environment characterization for agricultural robot design (20 citations) and task classification for manipulator optimization has provided critical frameworks for the robotics community. With recent explorations into field weeding robots using YOLOv8, Dr. Bloch continues to push boundaries, making autonomous agriculture more efficient, accessible, and sustainable.

Research Focus

Key Achievements

5
H-Index
6
Papers
156
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
A methodology of orchard architecture design for an optimal harvesting robot
67 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Technion – Israel Institute of Technology, Natural Resources Institute Finland, Agricultural Research Organization

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago