Agripulse
University of Rajshahi
Sustainable Development Impact of Agricultural Data Resources
This project implements an integrated, technology-driven agricultural monitoring system across selected Upazilas in the Rajshahi District. By combining satellite imagery, drone mapping, IoT sensors, and field and laboratory data, the initiative delivers real-time, cost-effective insights to improve agricultural and aquaculture management. The goal is to enhance productivity, strengthen climate resilience, and support large-scale deployment of data-driven farming solutions.
Lead researcher:
Prof. Dr. Md. Abul Kalam Azad, Department of Computer Science and Engineering, University of Rajshahi
Agripulse
BRAC University [University Grants Commission (UGC)]
Sustainable Development Impact of Agricultural Data Resources
Al, loT & Data Science for Future Farming Systems This initiative focuses on developing a fully integrated smart farming ecosystem powered by Al, loT, and advanced data science. The project aims to boost agricultural productivity, optimize resource use, and enhance climate resilience. It also promotes data-informed decision-making to support sustainable,inclusive, and technology-enabled future farming practices in Bangladesh.
Lead researcher:
Dr. Chowdhury Mofizur Rahman, Professor [Department of CSE, Brac University]
Agripulse
University of Khulna
Smart Irrigation and Crop Health Monitoring
This research focuses on developing smart irrigation systems that utilize real-time soil moisture and weather data to optimize water usage in agriculture. The project combines IoT sensors, machine learning algorithms, and mobile applications to provide farmers with actionable insights for crop health management and disease prevention.
More InfoLead researcher:
Dr. Fatema Begum, Department of Agricultural Engineering, University of Khulna
Machine Learning Models for Precision Agriculture Decision Support
Machine Learning Models for Precision Agriculture Decision Support
This project develops machine-learning-based decision-support models by integrating satellite data, loT sensor readings, and soil and yield records. The system provides real-time insights into crop health, irrigation needs, nutrient levels, and yield status empowering farmers and stakeholders to enhance productivity and sustainability.
Lead researcher:
Dr. Hasan Sarwar, Professor [Dept. of CSE & Dean, SoSE. United International University]
This integrated approach to agricultural technology and data-driven farming is designed to revolutionize productivity, climate resilience, and sustainability in Bangladesh's agricultural sector. The collaboration between leading universities and cutting-edge technologies promises a brighter future for farming communities, equipping them with the tools needed to thrive in an increasingly complex world.
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Bringing the knowledge of the most essential and vital components necessary for the farming industry to function.