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Author

F. Okoye

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Review Open access Sep 2026

A comprehensive review of deep learning methods for weed classification in precision agriculture

While weed management models like the YOLO variants, ResNet, and Vision Transformers achieved high accuracy in training and testing, they are associated with several challenges in their real world-deployment, such as occlusion, small object detection, and environmental adaptability.

Njoku Camillus Ekene, F. Okoye, E. Chidi et al. · 0 citations
Review Open access 2026

A Comprehensive Review of Deep Learning Approaches for Automated Farm Weed Classification

The research results have concluded that, in the future, lightweight models, larger-scale, more diverse data, and the integration of deep learning with IoT and autonomous systems should be the subject of research to make the processes of monitoring and controlling weeds in modern agriculture fully automated and sustain...

F. Okoye, Njoku Camillus Ekene, E. Chidi · 0 citations
Review Open access 2026

Review of Adversarial Attack Mechanisms, Detection Techniques and Defence Strategies in Critical Network Infrastructures

An extensive literature review on the adversarial attack methods, detection and defence techniques of critical network infrastructures and suggests the creation of multi-strategic, adaptive, and real-time adversarial threat management systems that can sustain themselves in a heterogeneous network environment.

F. Okoye, Aghaizu Herman Chijioke, Shamsudeen Mohammed S.B · 0 citations

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