Area of research
Analytical Chemistry · Ecology
Research interest
Research focused on Hyperspectral imaging and Remote sensing, with related work in Environmental science, Artificial intelligence, Meloidogyne incognita. Notable publications include 'Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection', 'A disease-specific spectral index tracks Magnaporthe oryzae infection in paddy rice from ground to space', and 'An unconventionally secreted effector from the root knot nematode Meloidogyne incognita , Mi‐ISC‐1, promotes parasitism by disrupting salicylic acid biosynthesis in host plants'.
Visualizing the pre-visual: Rice blast infection signals revealed
A two-step approach to mitigating phenological influences on spectroscopic detection of rice blast and removing pseudo severity estimates in healthy plants
Enhancing fusarium head blight detection in wheat crops using hyperspectral indices and machine learning classifiers
Exploring patient delay in people with chronic kidney disease: A cross-sectional study
Quantification of rice spikelet rot disease severity at organ scale with proximal imaging spectroscopy
A disease-specific spectral index tracks Magnaporthe oryzae infection in paddy rice from ground to space
Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection
An unconventionally secreted effector from the root knot nematode <i>Meloidogyne incognita</i> , Mi‐ISC‐1, promotes parasitism by disrupting salicylic acid biosynthesis in host plants
Improving lithium storage capability of ternary Sn-based sulfides by enhancing inactive/active element ratio