Publications and Scholarly Outputs
The AIoT for ICT4D Research Cluster produces scholarly outputs that connect applied research with development impact. Our publications reflect work across Artificial Intelligence, Internet of Things, cybersecurity, water systems, food security, health innovation, smart cities, digital trust and emerging technologies.
Water, Food and Resource-Security Publications
This publication stream brings together scholarly work on AI-supported agriculture, smart water systems, non-revenue water reduction, green hydrogen safety and resource resilience. It reflects the cluster’s contribution to water, energy and food systems through applied AI, IoT and data-driven methods.
AI for Plant Health
Research on mobile-based plant pest and disease identification, including AI-supported approaches for local crop health and food-security challenges.
Smart Water Systems
Publications addressing non-revenue water, IoT-based leak detection and data-informed approaches for more resilient water management in Namibia.
Green Hydrogen and Energy Safety
Research on synthetic data-driven anomaly detection for safety-critical green hydrogen systems.
Resource Resilience and Sustainability
Outputs that link AIoT research to practical development priorities in agriculture, water, energy and climate-sensitive infrastructure.
Secure, Smart and Healthy Digital Societies
This publication stream focuses on secure, intelligent and inclusive digital transformation. It includes work on cybersecurity, IoT security, smart cities, AI for health, crime prediction, fatigue detection and digital trust.
Cybersecurity and IoT Security
Research on IoT smart office security threats, anomaly detection and secure digital systems.
Smart Cities and Urban Innovation
Publications on smart parking, crime prediction and AI-supported urban services.
AI for Health and Safety
Machine learning research linked to diabetes prediction, gestational hypertension risk, fatigue detection and public safety.
Digital Trust and Applied ICT4D
Outputs that connect emerging technologies with governance, service delivery, inclusion and societal resilience.
Publications on Resource Security and Resilience
These publications demonstrate how AI, IoT and data-driven technologies can support food security, water resilience and safety-critical infrastructure.
- Systematic Review of Plant Pest and Disease Identification Strategies and Techniques in Mobile Apps - Examines mobile-based approaches for identifying plant pests and diseases, supporting the cluster’s AI for agriculture and food-security research.
- Mobile Apps Utilising AI for Plant Disease Identification: A Systematic Review of User Reviews - Analyses user experiences with AI-enabled plant disease identification apps, offering insight into usability, adoption and practical agricultural relevance.
- Synthetic Data-Driven Anomaly Detection for Safety-Critical Green Hydrogen Systems - Explores anomaly detection for green hydrogen environments, contributing to safety, resilience and emerging energy-system research.
- The State of Non-Revenue Water in Namibian Local Authorities: Challenges and Prospects - Assesses non-revenue water challenges in Namibia and highlights opportunities for improved water management and urban water security.
- IoT-Based Leak Detection Systems for Non-Revenue Water Reduction in Namibia: A Systematic Literature Review - Reviews IoT-based leak detection approaches and their potential contribution to reducing water loss in Namibian contexts.
Publications on Smart, Secure and Healthy Communities
These publications connect machine learning, IoT, cybersecurity and smart systems to health innovation, digital trust, urban safety and intelligent public services.
- Leveraging Machine Learning to Detect and Predict Diabetes in Polycystic Ovary Syndrome Patients - Applies machine learning to health-risk prediction, contributing to the HASH-related health innovation stream.
- A Review of Internet of Things Smart Office Data Security Threats - Reviews security threats affecting IoT-enabled smart office environments and contributes to the cluster’s IoT security research focus.
- Conceptual Design of a Sensorless Smart Parking Payment Solution - Presents an IoT-related smart parking concept designed to support urban mobility and smart city service innovation.
- Mineworkers Fatigue Detection Using Machine Learning-Based Techniques - Applies machine learning to fatigue detection, supporting occupational safety and intelligent monitoring research.
- Evaluating Machine Learning Models Best Fit for Crime Prediction in Windhoek - Evaluates machine learning models for crime prediction, contributing to AI-enabled public safety and data-informed urban governance.
Frequently Asked Questions
The cluster produces peer-reviewed articles, conference papers, systematic reviews, project-linked publications and postgraduate research outputs across AI, IoT, cybersecurity, ICT4D and emerging technologies.
Yes. Several selected publications are linked to funded or applied projects, including the Lacuna Fund project, HASH, Smart Parking, Innovate4Water, ACEWATER III and related student research.
Yes. Many outputs are connected to Masters, Doctoral and project-based research, supporting the cluster’s postgraduate development mandate.
The current portfolio includes AI for agriculture, water systems, IoT leak detection, green hydrogen anomaly detection, health AI, IoT security, smart parking, crime prediction and machine learning for safety.