E. Olaye

This project focuses on the design and implementation of a controlled environment vertical farming system for tomato production in Benin City. The system integrates climate control, automated irrigation, and hydroponic nutrient delivery to optimize plant growth and resource efficiency. Key components include temperature and humidity sensors, an automated irrigation system, and a microcontroller-based control unit for real-time monitoring and adjustments. The vertical farming setup was designed to maximize space utilization while reducing water consumption and dependency on
chemical fertilizers. The implementation process involved system calibration, sensor integration, and performance evaluation to assess its impact on crop yield and sustainability. Results indicate that the controlled environment significantly enhanced tomato growth, minimized pest infestations, and improved overall yield compared to conventional soil- based farming methods. However, challenges such as high initial investment costs and power dependency were noted, necessitating the integration of renewable energy sources for long-term viability. This study demonstrates the potential of vertical farming as a sustainable and scalable solution for urban agriculture, addressing food security concerns while promoting resource-efficient farming practices. The findings suggest that further research into automation, AI-driven climate control, and localized material sourcing could enhance system performance and accessibility for wider adoption..

In the contemporary landscape of business intelligence (BI), the choice of interactive dashboard tools plays a pivotal role in enabling data-driven decision-making processes within organizations. This study conducts a comprehensive comparative analysis of three leading BI tools: Looker, Tableau, and Power BI, with a specific focus on their interactive dashboard capabilities. The research aims to provide i sights into the strengths and weaknesses of each tool, aiding organizations in making informed decisions regarding their BI tool selection. Key aspects examined include user interface and ease of use, data connectivity, visualization capabilities, data modeling and transformation features, collaboration and sharing functionalities, integration with advanced analytics and machine learning, cost considerations, customization and extensibility options, as well as support and community resources

The growing incidence of zoonotic diseases and other health risks underscores the pressing necessity for integrated surveillance systems that connect the sectors of human, animal, and environmental health. This initiative centers on the creation and deployment of a Stakeholder Portal for a Digital One Health Surveillance System, which aims to improve real-time data exchange, collaboration across sectors, and informed decision-making. The portal is built using React for the frontend and Python for its backend functionalities, and it features an AI-driven chatbot powered by the Gemini API to enable automatic responses and stakeholder interaction. Notable attributes include secure user authentication with role-based access, engaging data visualization dashboards, and management of real-time surveillance data. Health personnel have unique access to enhanced dashboard features, while general users can interact with publicly available information. The system guarantees data privacy and security by adhering to global standards, offering a scalable, user-friendly platform that can be customized to fit various healthcare settings. This effort plays a crucial role in bolstering public health resilience by promoting effective communication and proactive measures against emerging health threats within the One Health approach