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About

Smita Tiwari is a researcher specializing in autonomous robotics, precision positioning, and agricultural technology, with a particular focus on applying cutting-edge navigation and sensing solutions to real-world farming challenges. Her work sits at the intersection of GNSS-based positioning systems, deep learning, and integrated pest management, making her a notable contributor to the emerging field of agricultural robotics. Tiwari's most significant contributions center on the EU H2020-funded GreenPatrol project, through which she helped develop autonomous robotic systems capable of detecting and treating pests within commercial greenhouse environments. Her research demonstrated how precise GNSS Precise Point Positioning and Galileo satellite solutions could enable reliable robot navigation in challenging, GPS-degraded agricultural settings — a technically demanding problem with substantial practical implications. These efforts are reflected in her most-cited works from 2019 and 2020, each garnering 8 citations and helping establish foundational approaches for autonomous greenhouse scouting. Her 2021 paper on improving weed detection through deep learning further illustrates her commitment to advancing computer vision tools for smart agriculture. Collectively, Tiwari's research addresses the pressing global challenge of producing more food with fewer resources, positioning her as a valuable contributor to the future of precision agriculture and agri-robotics.