INTRODUCTION
The Fula people also known as Fulani in Hausa language, are a mass population widely dispersed and culturally diverse in all of Africa, but most predominant in West Africa. The Fulani’s generally speak the Fula language. A significant number of them are nomadic in nature, herding cattle, goats and sheep across the vast dry grass lands of their environment, keeping isolate from the local farming communities, making them the world’s largest pastoral nomadic group (Eyekpimi, 2016). They are massively spread over many countries, and are found mainly in West Africa and northern parts of Central Africa, but also in Sudan and Egypt. The main Fulani sub-groups in Nigeria are: Fulbe Adamawa, Fulbe Mbororo, Fulbe Sokoto, Fulbe Gombe, and the Fulbe Borgu (Eyekpimi, 2016).
Nigeria as a nation state is under a severe internal socio-economic and security threat. At a more general level, the threat has special economic, political and environmental dimensions. Each of these dimensions has greatly affected the nation’s stability and can be traced to the Fulani-herdsmen and farmers clash, ethnic militant armies, ethnic and religious conflicts, poverty, insurgency, armed robbery, corruption, economic sabotage and environmental degradation (Damba, 2007).
Fulani Herdsmen’s activities have been escalating steadily in Nigeria; the killings going on in Benue earlier this year being the most recent indicator of the group’s growing threat to Nigeria’s political stability. Indeed, the group is viewed by many experts as a direct challenge the state’s corrupt nature and its general inability to address the expanding economic North-South disparity within Nigeria.
📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery
The project titled "Applying Machine Learning Techniques to Detect Financial Fraud in Online Transactions" aims to address the critical issue of detec...
The project titled "Anomaly Detection in IoT Networks Using Machine Learning Algorithms" focuses on addressing the critical challenge of detecting ano...
The project titled "Applying Machine Learning Algorithms for Predicting Stock Market Trends" aims to explore the application of machine learning algor...
The project titled "Applying Machine Learning Algorithms for Sentiment Analysis in Social Media Data" focuses on utilizing machine learning algorithms...
The project titled "Applying Machine Learning for Predictive Maintenance in Industrial IoT Systems" focuses on leveraging machine learning techniques ...
The project, "Implementation of a Machine Learning Algorithm for Predicting Stock Prices," aims to leverage the power of machine learning techniques t...
The project titled "Development of an Intelligent Traffic Management System using Machine Learning Algorithms" aims to revolutionize the traditional t...
No response received....
The project titled "Applying Machine Learning for Intrusion Detection in IoT Networks" aims to address the increasing cybersecurity threats targeting ...