This project aims to explore the application of remote sensing technology in monitoring and assessing the health of crops. Remote sensing techniques, such as satellite imagery and unmanned aerial vehicles (UAVs), offer a non-invasive and efficient means of collecting data on crop health indicators, including vegetation indices, chlorophyll content, and water stress. The project will investigate the use of different remote sensing platforms and sensors for capturing high-resolution crop health information. The findings will contribute to the development of remote sensing-based tools for early detection of crop stress, disease outbreaks, and nutrient deficiencies, ultimately aiding in timely management decisions for improving crop productivity and sustainability.
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This research focuses on developing sensors that can be connected to the Internet of Things (IoT) to monitor chemical reactors continuously and in real time. Ch...
This research focuses on finding ways to improve productivity for employees who work remotely by using artificial intelligence (AI) technology to create better ...
This research investigates how mobile banking affects the income of rural households. In many rural areas, traditional banking services are hard to access, whic...
This research focuses on creating a computer-based system that helps predict where landslides might happen using advanced technologies like remote sensing and G...
This research focuses on improving learning management systems (LMS), which are digital platforms used by schools and organizations to deliver, track, and manag...
This research explores how networks of smart sensors can be used to monitor and manage air quality in urban areas. Air pollution is a significant health and env...
This research focuses on developing and evaluating a smart waste sorting system that uses artificial intelligence (AI) to improve recycling processes in urban a...
This research aims to develop an Artificial Intelligence (AI)-powered digital platform designed specifically to support micro-entrepreneurs in growing their bus...
This research aims to develop a smartphone-based system that can identify crop pests quickly and accurately, helping farmers manage pest-related issues more eff...