Mohini Bariya
Papers
1
Total Citations
12
H-Index
1
About
Mohini Bariya’s research lies at the intersection of computer vision and plant phenotyping, where she develops computational methods to automate the measurement of key physical traits in crops. Her most cited work, “In Situ Height and Width Estimation of Sorghum Plants from 2.5d Infrared Images” (2017, 12 citations), addresses a critical bottleneck in biofuel crop development: the need for rapid, non-destructive phenotyping. By extracting stem width and plant height from infrared imagery, Bariya’s approach enables biologists to quantitatively estimate biomass and evaluate the yield potential of different sorghum varieties—a key step toward engineering higher-yielding energy crops. This work demonstrates her ability to bridge sensor data and biological insight, offering a scalable tool for field-based phenotyping. Bariya’s contributions are particularly notable for their focus on *in situ* measurement, moving phenotyping out of controlled labs and into real agricultural environments. Her research empowers plant scientists to make data-driven decisions in variety selection and breeding, directly supporting the development of sustainable bioenergy sources.
Research Focus
Key Achievements
Top Papers
- 1