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Umme Fawzia Rahim

Observed name: Rahim, Umme Fawzia
ORCID: 0000-0002-0249-5436
Observed ORCID: 0000-0002-0249-5436
OpenAlex ID: A5035192712
Deep learning-based accurate grapevine inflorescence and flower quantification in unstructured vineyard images acquired using a mobile sensing platform
2022 · Umme Fawzia Rahim, Tomoyoshi Utsumi, et al. · Computers and Electronics in Agriculture · 38
Tomato Flower Detection and Counting in Greenhouses Using Faster Region-Based Convolutional Neural Network
2020 · Umme Fawzia Rahim, Hiroshi Mineno · Journal of Image and Graphics · 35
Highly Accurate Tomato Maturity Recognition: Combining Deep Instance Segmentation, Data Synthesis and Color Analysis
2021 · Umme Fawzia Rahim, Hiroshi Mineno · Artificial Intelligence and Cloud Computing Conference (AICCC) · 21
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Data augmentation method for strawberry flower detection in non-structured environment using convolutional object detection networks
2020 · Umme Fawzia Rahim, Hiroshi Mineno · Journal of Agricultural and Crop Research · 12
Comparison of grape flower counting using patch-based instance segmentation and density-based estimation with convolutional neural networks
2021 · Umme Fawzia Rahim, Tomoyoshi Utsumi, et al. · International Symposium on Artificial Intelligence and Robotics (ISAIR) · 11
Real-Time Weed Detection Using Advanced Object Detection Models: A Comparative Study
2025 · Md. Mushibur Rahman, Umme Fawzia Rahim · International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM) · 3
Tomato-Adaptive Attention YOLOv8 for Accurate and Interpretable Maturity Detection Across Diverse Environments
2026 · Umme Fawzia Rahim, Md. Mushibur Rahman, et al. · Agriculture · 1
Adaptive Enhancement and Dual-Pooling Sequential Attention for Lightweight Underwater Object Detection with YOLOv10
2026 · Md. Mushibur Rahman, Umme Fawzia Rahim, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) · 1
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A Hybrid Multiclass Brain Tumor Segmentation Method Combining EfficientNet and U-Net
2024 · Md. Rajaul Karim, Ashifur Rahman, et al. · International Conference on Computer and Information Technology (ICCIT) · 1
Automated Grapevine Inflorescence Counting in a Vineyard Using Deep Learning and Multi-object Tracking
2023 · Umme Fawzia Rahim, Tomoyoshi Utsumi, et al. · International Conference on Computer and Automation Engineering · 1
OpenField-BD-Tomato-Maturity-Detection Dataset
2026 · Rahim, Umme Fawzia, Rahman, Md. Mushibur · Zenodo (CERN European Organization for Nuclear Research)
CauliFCount-BD: Open-Field Cauliflower Detection and Counting Dataset
2026 · Rahman, Md. Mushibur, Rahim, Umme Fawzia · Zenodo (CERN European Organization for Nuclear Research)
Explainable and Risk-Calibrated Crop Recommendation Using Machine Learning with Mobile Deployment
2026 · Md Sabbir Hossain, Md Alimul Nishat Shantu, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
Explainable Deep Learning for Rice Leaf Disease Severity Classification: A Comparative Study
2026 · Anik Chandra Deb, Pronoy Debnath, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
Enhancing Polyp Segmentation in Endoscopic Images Using Attention-Enhanced U-Nets
2025 · Kahandaker Rakibul Hasan, Kazi Sanir Ahmed, et al. · International Conference on Computer and Information Technology (ICCIT)
Towards Reliable Plant Phenotyping With Deep Learning and Remote Sensing
2022 · Rahim, Umme Fawzia · Institutional Repositories DataBase (IRDB)
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Works count: 16
Citation count: 124
H-index: 5
I10-index: 5
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