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J Justina Michael

Observed names: Dr.J. Justina Michael, J, Justina Michael, J. Justina Michael, Justina Michael, Michael J. Justina, Michael Justina
ORCID: 0000-0001-8072-3230
Observed ORCID: 0000-0001-8072-3230
OpenAlex ID: A5017227075
SorghumWeedDataset_Classification and SorghumWeedDataset_Segmentation datasets for classification, detection, and segmentation in deep learning
2023 · Michael J. Justina, M. Thenmozhi · Data in Brief · 14
HierbaNetV1: a novel feature extraction framework for deep learning-based weed identification
2024 · Justina Michael, Thenmozhi Manivasagam · PeerJ Computer Science · 4
Survey on Weeding Tools, Equipment, AI-IoT Robots with Recent Advancements
2023 · J Justina Michael, M Thenmozhi · International Conference on Integration of Computational Intelligent System (ICICIS) · 3
Outlier detection in maize field using Isolation Forest: A one-class classifier
2023 · J Justina Michael, M Thenmozhi · International Conference on Networking and Communications (ICNWC) · 3
Evaluation of Deep Learning CNN Models with 24 Metrics Using Soybean Crop and Broad-Leaf Weed Classification
2023 · J. Justina Michael, M. Thenmozhi · Lecture notes in networks and systems · 3
Security Analysis and Robustness Assessment of Agricultural Deep Vision Software Against Targeted Adversarial Evasion Attacks in Crop-Weed Classification
2026 · J. Justina Michael · Journal of Internet Services and Information Security · 1
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Weed Identification and Removal: Deep Learning Techniques and Research Advancements
2022 · J Justina Michael, M. Thenmozhi · International Conference on Inventive Research in Computing Applications (ICIRCA) · 1
Quantum-enhanced Deep Learning Model for Crop–weed Classification in Sorghum Imagery Using the Sorghum Crop Weed Dataset Classification
2026 · Dr.J. Justina Michael, Logeshwari Radhakrishnan, et al. · Archives for Technical Sciences
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Analyzing the Effectiveness of Image Augmentation for Soybean Crop and Broadleaf Weed Classification
2024 · Michael Justina, M. Thenmozhi · Lecture notes in networks and systems
Works count: 10
Citation count: 29
H-index: 3
I10-index: 1
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