Negin Harandi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Negin Harandi has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Arnout Van Messem
Department of Mathematics, University of Liège, Liège, Belgium
2 shared publications - Joris Vankerschaver
Ghent University Global Campus
2 shared publications - Breght Vandenberghe
BASF Innovation Center, Zwijnaarde, Belgium
1 shared publication - Stephen Depuydt
Erasmus Brussels University of Applied Sciences and Arts, Nijverheidskaai 170, 1070 Brussels, Belgium
1 shared publication - Wesley De Neve
Ghent University Global Campus
1 shared publication
Latest Publications
- 15 September 2024
- Published by Springer Nature
- p. 84-97
Grasshopper Optimization Algorithm (GOA): A Novel Algorithm or A Variant of PSO?
- 15 September 2024
- Published by Springer Nature
- p. 84-97
Grasshopper Optimization Algorithm (GOA): A Novel Algorithm or A Variant of PSO?
- Top Cited PapersOpen Access
- 23 June 2023
- Published by Springer Nature in Plant Methods
- Vol. 19 (1) , 1-46
How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques
Computer vision technology is moving more and more towards a three-dimensional approach, and plant phenotyping is following this trend. However, despite its potential, the complexity of the analysis of 3D representations has been the main bottleneck hindering the wider deployment of 3D plant phenotyping. In this review we provide an overview of typical steps for the processing and analysis of 3D representations of plants, to offer potential users of 3D phenotyping a first gateway into its application, and to stimulate its further development. We focus on plant phenotyping applications where the goal is to measure characteristics of single plants or crop canopies on a small scale in research settings, as opposed to large scale crop monitoring in the field.
- 23 June 2023
- Published by Springer Nature in Plant Methods
- Vol. 19 (1) , 1-46
Top Cited PapersOpen AccessHow to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques
Computer vision technology is moving more and more towards a three-dimensional approach, and plant phenotyping is following this trend. However, despite its potential, the complexity of the analysis of 3D representations has been the main bottleneck hindering the wider deployment of 3D plant phenotyping. In this review we provide an overview of typical steps for the processing and analysis of 3D representations of plants, to offer potential users of 3D phenotyping a first gateway into its application, and to stimulate its further development. We focus on plant phenotyping applications where the goal is to measure characteristics of single plants or crop canopies on a small scale in research settings, as opposed to large scale crop monitoring in the field.