Our vision is centered on developing cutting-edge technology to address specific challenges in the realms of restoring, recognizing, and preserving historical documents, as well as post-harvest and precision farming methods. We aim to learn about the problems and issues associated with automated image analysis algorithms and techniques from the perspective of both Document Image Analysis and Agriculture-related processing methods. By combining our expertise in these diverse fields, we strive to create innovative solutions that not only enhance our understanding of historical records and documents but also improve the efficiency and precision of farming practices. This holistic approach will not only benefit historical preservation efforts but also contribute to the development of sustainable and technologically advanced agriculture, thereby fostering progress and innovation across these two distinct yet interconnected domains.
Team Lead
Assistant Professor
Assistant Professor
Assistant Professor
Assistant Professor
Assistant Professor
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