Chayanika Sharma is currently working as a Junior Technical Officer at the Department of Instrumentation & USIC, Gauhati University, India. She earned her Ph.D. from the same department, with research focused on optimizing gas sensor arrays for detecting plant stress.
Her work brings together sensor technology, plant physiology, and machine learning to explore smart, sustainable solutions for agriculture. She specializes in developing electronic nose (E-Nose) systems and nanomaterial-based gas sensors to monitor plant health, including the detection of water and salinity stress in Khasi Mandarin orange plants.

In recent projects, Chayanika Sharma has integrated E-Nose technology with machine learning models to identify fertilizer levels in spinach and detect pesticide residues in cauliflower, achieving high classification accuracies.
Her core expertise spans sustainable agriculture, gas sensors, sensor design, plant stress physiology, and multiphysics simulation using COMSOL.