Papers

7

Total Citations

147

H-Index

6

About

Anne Krus is a researcher specializing in precision agriculture, agricultural robotics, and smart farming technologies, with a particular focus on organic crop production and automated fertilization systems. Her work sits at the intersection of computer vision, robotics, and sustainable agriculture, addressing the growing demand for efficient organic vegetable production. Krus has made significant contributions to the development of nondestructive plant monitoring methods, most notably her 2020 study using multispectral imaging to assess fertilization status in tomato plants, which has accumulated 52 citations and established a foundation for intelligent crop supervision. Building on this, her research into CNN-based vegetable detection for robotic fertilization in strip-cropping systems (43 citations) represents a major advance in applying deep learning to real-world agricultural automation. A consistent thread throughout her portfolio is the SUREVEG CORE Organic Cofund ERA-Net project, through which she has helped design and validate robotic platforms capable of precise, single-plant fertilization in complex organic farming environments. Her 2020 work on point-cloud-based localization for agricultural robots further demonstrates her technical breadth. With over 140 cumulative citations and a growing body of work on human-robot interfaces and trend technologies in row-crop robotics, Krus is an emerging voice shaping the future of sustainable, automated agriculture.

Research Focus

Key Achievements

6
H-Index
7
Papers
147
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Monitoring Plant Status and Fertilization Strategy through Multispectral Images
52 citations · 2020
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Universidad Politécnica de Madrid, Centre for Automation and Robotics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago