ayushsharma@ufl.edu
Ayush is a Ph.D. candidate in Soil, Water, and Ecosystem Sciences Department from the renowned University of Florida, Gainesville, USA. His research focuses on developing sulfur recommendations for potatoes using advanced remote sensing technologies like hyperspectral, multispectral, and LiDAR. In addition, he also use computer vision and artificial intelligence imaging tools to address real-life agricultural problems. His academic journey started with an undergraduate degree in Horticulture from Dr. Punjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra, India (2014 to 2018), then pursued his Master's in Fruits Science from Punjab Agricultural University, Punjab, India, where he gained fruit production and crop management expertise. During his Master's program, realizing passion for research, he decided to pursue a Ph.D. in the United States, and joined Ph.D. program in the spring of 2021 and have worked diligently since then. During which, he got an opportunity to learn skills for future agriculture, such as remote sensing, artificial intelligence, Computer vision, big data management, and analysis. Apart from research work, he work with a group of researchers at the University of Florida, who are developing a way to quantify ecosystem services using machine learning, hyperspectral imaging, and satellite remote sensing. His expertise in remote sensing, computer vision, and artificial intelligence has helped him better understand modern agricultural practices and their applications in improving crop yield and quality. He believes that his passion for research and expertise in advanced remote sensing technologies, computer vision, and artificial intelligence has helped him become a skilled researcher and will contribute significantly to developing sustainable and efficient agricultural practices to help feed the growing global population.
