Mohamed Omar Abdullahi | SIMAD University (original) (raw)

Uploads

Papers by Mohamed Omar Abdullahi

Journal européen des systèmes automatisés/Journal européen des systèmes automaitsés, Jun 24, 2024

International journal of engineering trends and technology, Mar 20, 2024

Deleted Journal, Feb 19, 2024

Agriculture drives Somalia's economy, but challenges like unpredictable weather, limited resource... more Agriculture drives Somalia's economy, but challenges like unpredictable weather, limited resources, and poor infrastructure hamper productivity and economic progress. Emerging technologies like machine learning and IoT offer transformative solutions, optimizing crop yield and resource use. This research demonstrates the substantial impact of integrating Machine Learning (ML) and Internet of Things (IoT) technologies to improve agricultural decisions in Somalia. The study conducts a comprehensive comparison of Decision Trees (DT), K-nearest Neighbor (KNN), and Random Forest algorithms within a Crop Recommendation System. The Decision Tree algorithm emerges as the standout performer, boasting an impressive accuracy of 99.2% and achieving well-balanced precision, recall, and F1-score metrics. Its transparency and interpretability render it an optimal choice for guiding agricultural choices. Despite slightly trailing in performance, KNN and Random Forest algorithms achieve accuracies of 97.2% and 99.0% respectively, presenting valuable alternatives for various contexts. The successful implementation of the Crop Recommendation System, particularly in Somalia's Balcad District, underscores the tangible advantages of real-time IoT data and the Decision Tree model. This system enables farmers to optimize crop selection, thereby enhancing sustainability and yield potential. In a broader context, this research underscores the capacity of data-driven agriculture to tackle food security challenges and drive economic advancement. The transparent and accurate attributes of the Decision Tree algorithm, coupled with IoT capabilities, establish a framework for modernizing traditional farming practices and shaping a more productive future for Somalia and the global agriculture. The continuous evolution of crop recommendation systems holds promise for further transformative opportunities within the agricultural sector. Article Highlights • One algorithm, called Decision Trees, was good at predicting crops, even better than two others, KNN and Random Forest. • Using Decision Trees with smart tech in Somalia helped farmers choose better crops and grow more food. • This technology could change farming in tough places, making it better, helping everyone get more food, and making farming smarter for the future.

SSRG international journal of electrical and electronics engineering, Nov 29, 2023

In a world grappling with power sector complexities, Africa stands at the forefront of challenges... more In a world grappling with power sector complexities, Africa stands at the forefront of challenges due to ageing infrastructure and resource constraints. Somalia emerges as a representative case within this context, plagued by an inadequate power distribution grid that frequently succumbs to outages. However, hope shines through Internet of Things (IoT) technologies. These innovative solutions harness the power of sensors to closely monitor real-time power disruptions while intelligent meters gauge energy consumption. Through such advancements, the efficiency and dependability of power distribution networks can be remarkably enhanced. Furthermore, this technology empowers consumers by furnishing them instant insights into their energy usage and associated costs. This scholarly work introduces an innovative concept: an IoTdriven system tailored for Somalia, seamlessly integrating power outage and energy consumption reporting. The system's viability and potential impact are set to be rigorously evaluated in actual operational conditions, marking a pivotal step towards a more resilient and resourceful energy landscape.

SSRG international journal of electrical and electronics engineering, Sep 29, 2023

International Journal of Electrical and Electronics Engineering

International Journal of Engineering Trends and Technology

International Journal of Electrical and Electronics Engineering

Natural disasters like floods significantly threaten human lives, infrastructure, and the environ... more Natural disasters like floods significantly threaten human lives, infrastructure, and the environment. Millions of people are affected by floods yearly, among the most destructive and common disasters worldwide. Floods can significantly influence agriculture, causing harm to crops, soil fertility, and infrastructure in Somalia, where they account for 20% of the country's GDP and 5% of GDP volatility. Compared to other sectors, Somalia's agriculture is more vulnerable to climate and weather extremes, such as temperature changes, unanticipated rain patterns, and increased floods and droughts. The Internet of Things (IoT) recently came into existence as a powerful technology that has the potential to change how we live and work entirely. In this regard, an IoT-enabled river flood monitoring and alert system could be groundbreaking. This article suggests and develops a Somalia-specific real-time and cost-effective Internet of Things (IoT) Enabled River Flood Monitoring and Alert System. The system will use IoT sensors and data analytics to gather data about many aspects of the environment and the river. The data will be sent to a central database for further analysis. Such technology could provide authorities in Somalia and the community living close to flood-prone areas early warning of future floods, enabling them to take preventative action to mitigate the effects of these natural disasters.

Bulletin of Electrical Engineering and Informatics

Drought is defined as a protracted lack of precipitation that lasts at least a season, resulting ... more Drought is defined as a protracted lack of precipitation that lasts at least a season, resulting in a water deficit that affects plants, animals, and humans. It is a widespread and repeating feature of climate change in practically all temperate zones, ranging from excessively wet to burned. In Somalia, the government and farmers lack the technological skills to identify and monitor recurrent environmental issues. Our research created a technique for detecting droughts early on to reduce their impact. Using internet of things (IoT) devices, we created a system that measures temperature, humidity, and soil moisture. We then examined the data and used a line chart to show it in a web application (PHP and MySQL). The device reads these environmental parameters using an Arduino Uno, a DHT11 sensor, and a soil moisture sensor. The system deployed provides a real-time, cost-effective method for monitoring and controlling drought in modern agriculture.

Bulletin of Electrical Engineering and Informatics, 2023

Drought is defined as a protracted lack of precipitation that lasts at least a season, resulting ... more Drought is defined as a protracted lack of precipitation that lasts at least a season, resulting in a water deficit that affects plants, animals, and humans. It is a widespread and repeating feature of climate change in practically all temperate zones, ranging from excessively wet to burned. In Somalia, the government and farmers lack the technological skills to identify and monitor recurrent environmental issues. Our research created a technique for detecting droughts early on to reduce their impact. Using internet of things (IoT) devices, we created a system that measures temperature, humidity, and soil moisture. We then examined the data and used a line chart to show it in a web application (PHP and MySQL). The device reads these environmental parameters using an Arduino Uno, a DHT11 sensor, and a soil moisture sensor. The system deployed provides a real-time, cost-effective method for monitoring and controlling drought in modern agriculture.

Mobile devices are becoming an increasingly indispensable part of people’s everyday life, in the ... more Mobile devices are becoming an increasingly indispensable part of people’s everyday life, in the form of mobile phones, PDAs and laptop computers to communicate or share data between them. Centralized client-server networks are being transformed to distributed peer-to-peer networks. Lessons learned from fixed networks have been applied in cellular network. So, there are many challenges faced by traditional and mobile peer-to-peer networks therefore, in this study we examine a comparative analysis of node/peer discovery approach and routing algorithms employed in both traditional and mobile peer-to-peer networks. A qualitative methodology approach was used for data sources. Documents related to node/peer discovery approach and routing algorithms were studied. A comparative method and content analysis were used to analyze the data collected. Findings of the study indicated that there are two clear differences in the aspects of neighboring node/peer discovery approach beside the simila...

Journal européen des systèmes automatisés/Journal européen des systèmes automaitsés, Jun 24, 2024

International journal of engineering trends and technology, Mar 20, 2024

Deleted Journal, Feb 19, 2024

Agriculture drives Somalia's economy, but challenges like unpredictable weather, limited resource... more Agriculture drives Somalia's economy, but challenges like unpredictable weather, limited resources, and poor infrastructure hamper productivity and economic progress. Emerging technologies like machine learning and IoT offer transformative solutions, optimizing crop yield and resource use. This research demonstrates the substantial impact of integrating Machine Learning (ML) and Internet of Things (IoT) technologies to improve agricultural decisions in Somalia. The study conducts a comprehensive comparison of Decision Trees (DT), K-nearest Neighbor (KNN), and Random Forest algorithms within a Crop Recommendation System. The Decision Tree algorithm emerges as the standout performer, boasting an impressive accuracy of 99.2% and achieving well-balanced precision, recall, and F1-score metrics. Its transparency and interpretability render it an optimal choice for guiding agricultural choices. Despite slightly trailing in performance, KNN and Random Forest algorithms achieve accuracies of 97.2% and 99.0% respectively, presenting valuable alternatives for various contexts. The successful implementation of the Crop Recommendation System, particularly in Somalia's Balcad District, underscores the tangible advantages of real-time IoT data and the Decision Tree model. This system enables farmers to optimize crop selection, thereby enhancing sustainability and yield potential. In a broader context, this research underscores the capacity of data-driven agriculture to tackle food security challenges and drive economic advancement. The transparent and accurate attributes of the Decision Tree algorithm, coupled with IoT capabilities, establish a framework for modernizing traditional farming practices and shaping a more productive future for Somalia and the global agriculture. The continuous evolution of crop recommendation systems holds promise for further transformative opportunities within the agricultural sector. Article Highlights • One algorithm, called Decision Trees, was good at predicting crops, even better than two others, KNN and Random Forest. • Using Decision Trees with smart tech in Somalia helped farmers choose better crops and grow more food. • This technology could change farming in tough places, making it better, helping everyone get more food, and making farming smarter for the future.

SSRG international journal of electrical and electronics engineering, Nov 29, 2023

In a world grappling with power sector complexities, Africa stands at the forefront of challenges... more In a world grappling with power sector complexities, Africa stands at the forefront of challenges due to ageing infrastructure and resource constraints. Somalia emerges as a representative case within this context, plagued by an inadequate power distribution grid that frequently succumbs to outages. However, hope shines through Internet of Things (IoT) technologies. These innovative solutions harness the power of sensors to closely monitor real-time power disruptions while intelligent meters gauge energy consumption. Through such advancements, the efficiency and dependability of power distribution networks can be remarkably enhanced. Furthermore, this technology empowers consumers by furnishing them instant insights into their energy usage and associated costs. This scholarly work introduces an innovative concept: an IoTdriven system tailored for Somalia, seamlessly integrating power outage and energy consumption reporting. The system's viability and potential impact are set to be rigorously evaluated in actual operational conditions, marking a pivotal step towards a more resilient and resourceful energy landscape.

SSRG international journal of electrical and electronics engineering, Sep 29, 2023

International Journal of Electrical and Electronics Engineering

International Journal of Engineering Trends and Technology

International Journal of Electrical and Electronics Engineering

Natural disasters like floods significantly threaten human lives, infrastructure, and the environ... more Natural disasters like floods significantly threaten human lives, infrastructure, and the environment. Millions of people are affected by floods yearly, among the most destructive and common disasters worldwide. Floods can significantly influence agriculture, causing harm to crops, soil fertility, and infrastructure in Somalia, where they account for 20% of the country's GDP and 5% of GDP volatility. Compared to other sectors, Somalia's agriculture is more vulnerable to climate and weather extremes, such as temperature changes, unanticipated rain patterns, and increased floods and droughts. The Internet of Things (IoT) recently came into existence as a powerful technology that has the potential to change how we live and work entirely. In this regard, an IoT-enabled river flood monitoring and alert system could be groundbreaking. This article suggests and develops a Somalia-specific real-time and cost-effective Internet of Things (IoT) Enabled River Flood Monitoring and Alert System. The system will use IoT sensors and data analytics to gather data about many aspects of the environment and the river. The data will be sent to a central database for further analysis. Such technology could provide authorities in Somalia and the community living close to flood-prone areas early warning of future floods, enabling them to take preventative action to mitigate the effects of these natural disasters.

Bulletin of Electrical Engineering and Informatics

Drought is defined as a protracted lack of precipitation that lasts at least a season, resulting ... more Drought is defined as a protracted lack of precipitation that lasts at least a season, resulting in a water deficit that affects plants, animals, and humans. It is a widespread and repeating feature of climate change in practically all temperate zones, ranging from excessively wet to burned. In Somalia, the government and farmers lack the technological skills to identify and monitor recurrent environmental issues. Our research created a technique for detecting droughts early on to reduce their impact. Using internet of things (IoT) devices, we created a system that measures temperature, humidity, and soil moisture. We then examined the data and used a line chart to show it in a web application (PHP and MySQL). The device reads these environmental parameters using an Arduino Uno, a DHT11 sensor, and a soil moisture sensor. The system deployed provides a real-time, cost-effective method for monitoring and controlling drought in modern agriculture.

Bulletin of Electrical Engineering and Informatics, 2023

Drought is defined as a protracted lack of precipitation that lasts at least a season, resulting ... more Drought is defined as a protracted lack of precipitation that lasts at least a season, resulting in a water deficit that affects plants, animals, and humans. It is a widespread and repeating feature of climate change in practically all temperate zones, ranging from excessively wet to burned. In Somalia, the government and farmers lack the technological skills to identify and monitor recurrent environmental issues. Our research created a technique for detecting droughts early on to reduce their impact. Using internet of things (IoT) devices, we created a system that measures temperature, humidity, and soil moisture. We then examined the data and used a line chart to show it in a web application (PHP and MySQL). The device reads these environmental parameters using an Arduino Uno, a DHT11 sensor, and a soil moisture sensor. The system deployed provides a real-time, cost-effective method for monitoring and controlling drought in modern agriculture.

Mobile devices are becoming an increasingly indispensable part of people’s everyday life, in the ... more Mobile devices are becoming an increasingly indispensable part of people’s everyday life, in the form of mobile phones, PDAs and laptop computers to communicate or share data between them. Centralized client-server networks are being transformed to distributed peer-to-peer networks. Lessons learned from fixed networks have been applied in cellular network. So, there are many challenges faced by traditional and mobile peer-to-peer networks therefore, in this study we examine a comparative analysis of node/peer discovery approach and routing algorithms employed in both traditional and mobile peer-to-peer networks. A qualitative methodology approach was used for data sources. Documents related to node/peer discovery approach and routing algorithms were studied. A comparative method and content analysis were used to analyze the data collected. Findings of the study indicated that there are two clear differences in the aspects of neighboring node/peer discovery approach beside the simila...