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Firozeh Solimani

Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors
2023 · Angelo Cardellicchio, Firozeh Solimani, et al. · Computers and Electronics in Agriculture · 144
Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity
2024 · Firozeh Solimani, Angelo Cardellicchio, et al. · Computers and Electronics in Agriculture · 123
A Systematic Review of Effective Hardware and Software Factors Affecting High-Throughput Plant Phenotyping
2023 · Firozeh Solimani, Angelo Cardellicchio, et al. · Information · 21
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Enhancing Small Object Detection in the YOLOv8 model: A Comprehensive Analysis of the Optimized Model Head Adaptations
2024 · Firozeh Solimani, Angelo Cardellicchio, et al. · IEEE International Conference on Automation Science and Engineering (CASE) · 4
Patch-based probabilistic identification of plant roots using convolutional neural networks
2024 · A. Cardellicchio, F. Solimani, et al. · Pattern Recognition Letters · 4
Early career professionals and global inclusion for the future of plant phenomics
2026 · Carlos A Robles-Zazueta, Rhianna McAneny, et al. · Journal of Experimental Botany
An integrated YOLOv11-based framework for wheat spike phenotyping segmentation and grain yield estimation
2026 · Firozeh Solimani, Nida Mushtaq, et al. · Smart Agricultural Technology
Influence of the nozzle type, air-assisted velocity, and wind velocity on the measurements of spray drift potential of boom sprayers
2022 · Solimani, Firozeh, Rahnama, Majid, et al. · Agricultural Engineering International: CIGR Journal
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Works count: 9
Citation count: 296
H-index: 4
I10-index: 3
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