Dr. Dharmendra Saraswat is an associate professor in the Agricultural and Biological Engineering (ABE) Department at Purdue University. He received a bachelor’s degree in agricultural engineering from Sam Higginbottom Institute of Agriculture, Technology and Sciences (SHUATS); a master’s degree in agricultural engineering from the Indian Agricultural Research Institute (IARI), New Delhi, and a PhD in food, agricultural, and biological engineering from The Ohio State University.
Before coming to Purdue, Dr. Saraswat was a faculty member at the University of Arkansas, a scientist at the Indian Council of Agricultural Research, New Delhi, and an assistant professor at Chandra Shekhar Azad University of Agriculture & Technology, Kanpur.
Dr. Saraswat conducts research in information technology for agriculture. He has been pursuing two areas of emphasis within agriculture: watershed modeling; and digital agriculture. He applies engineering and science principles to measure, model, and develop digital solutions. Dr. Saraswat’s research demonstrates the application of GIS, remote sensing, and open-source software for creating new technologies, decision-support tools, and data sets to manage the environment and agricultural production systems.
Dr. Saraswat’s overall research and extension efforts have been recognized on a sustained basis. He has received several awards, including the Fulbright U.S. Scholar Award (2023), Excellence in Multistate Research Team Award from USDA-NIFA for the S1069 project (2022), Outstanding Faculty Mentor Award from Purdue ABE (2022), Outstanding Educator Award by SHUATS (2021), the American Society of Agricultural and Biological Engineers’ (ASABE) ITSC Best Paper Award (2019), ASABE Standards Award (2018), ASABE Educational Aids Blue Ribbon Award (2017, 2015, and 2013), the American Society of Horticultural Sciences’ Outstanding App Award (2016), Southern Region-American Society of Horticultural Sciences’ Blue Ribbon Extension Communication Award (2016 and 2012), the Fellow of Indian Society of Agricultural Engineers (2014), John W. White Outstanding Extension State Faculty Award by the University of Arkansas (2014), and Excellence in Remote Sensing and Precision Agriculture Award from the National Association of County Agricultural Agents (2013).
Dr. Saraswat’s Fulbright-Nehru research project is focusing on applying deep learning methods to identify and study the spread pattern of bacterial blight in rice and develop a conceptual modeling framework for creating an early warning system. Besides, Dr. Saraswat is collaborating with colleagues at IARI to share experiences with curriculum design and classroom delivery for spatial data science courses to augment the existing curriculum for developing students’ analytical, problem-solving, computational, and decision-making skills and abilities.