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Raghav Khanna


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Raghav Khanna (born 1989) is currently a Ph.D. student at the Autonomous Systems Lab at ETH Zurich, where he is working on computer vision, localization and mapping techniques using autonomous aerial vehicles for agricultural environments. Raghav completed his bachelor’s degree in mechanical engineering from IIT Kanpur in 2011 and a master’s in mechanical engineering with a special focus on renewable energy technologies from ETH Zurich in 2013. He is passionate about combining technology and entrepreneurship to create a more sustainable future, be it by building novel solar energy storage systems or using UAVs to map farms to reduce chemical inputs. Along with his studies, Raghav enjoys traveling and hiking.



Crops are key for a sustainable food production and we face several challenges in crop production. First, we need to feed a growing world population. Second, our society demands high-quality foods. Third, we have to reduce the amount agrochemicals that we apply to our fields as it directly affects our ecosystem. Precision farming techniques offer a great potential to address these challenges, but we have to acquire and provide the relevant information about the field status to the farmers such that specific actions can be taken.

This paper won the IEEE Robotics & Automation Best Automation Paper Award at ICRA 2017.