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.

simranpreetsidhu@ufl.edu 

Simran is a Ph.D. candidate, joined Soil, Water and Ecosystem Sciences department in Spring 2022. Her research focuses on evaluating potassium recommendation for potatoes in Florida’s sandy soils, addressing the limitations of traditional soil testing methods, which may not accurately predict potassium requirement in sandy soils for nutrient demanding crops. Simran's work emphasizes yield-based predictions to optimize potassium recommendations. Her field-intensive research integrates best management practices with advanced sensor technologies using active and passive sensors to improve nutrient management. Additionally she is developing potassium adsorption isotherm models to refine fertilizer recommendations in sandy soils. Simran holds a Master’s degree in Soil Science from Punjab Agricultural University, Punjab (India), and has previous experience in nutrient management and soil fertility, which directly supports her current research objectives. She is committed to the pursuit of scientific knowledge and believes that true success in research comes from a combination of passion, persistence, and integrity. She approaches her work with a sense of purpose, driven by the belief that honest hard work, consistency, and a dedication to making a meaningful impact are essential to achieving long-term goals.

rsingh4@ufl.edu 

Ravinder Singh is a Ph.D. student, who joined our lab in Spring 2023. He holds a master's degree from Oklahoma State University, where he managed a soil fertility lab and focused on nutrient management in corn. Ravinder's current research focuses on utilizing smart fertilizers to improve nutrient management in potatoes.

Ph. D. student

karunkatoch@ufl.edu 

Non-thesis MS student

hhenke@ufl.edu 

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