This project aims to address the challenge of enhancing crop resilience to multiple environmental stresses through multi-trait breeding approaches. Climate change has led to increased occurrences of multiple abiotic and biotic stresses, posing significant threats to global food security. Traditional breeding methods often focus on single stress tolerance, overlooking the complex interactions among different stress factors. This project will explore the integration of multiple stress tolerance traits in crop breeding programs to develop resilient varieties capable of withstanding diverse environmental challenges. The research will involve the identification of key genetic loci associated with stress tolerance traits, the development of molecular markers for multi-trait selection, and the evaluation of the performance of multi-stress tolerant crop lines under field conditions. The findings from this study will contribute to the development of climate-resilient crop varieties, thereby ensuring sustainable food production in the face of changing environmental conditions.
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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...
This research explores how predictive policing tools that use artificial intelligence (AI) influence community trust in law enforcement. Predictive policing inv...
This research explores how artificial intelligence (AI) can be used to improve communication across multiple languages through the development of smart translat...