Our Research

Our Research

We promote innovative research in the area of plant phenotyping across multiple scales (i.e., from the growth chamber and greenhouse to the field), using the LemnaTec and/or Spidercam® phenotyping platforms to advance research in this area and address important research questions related to food security and the environment. The ability to accurately quantify plant phenotypic traits across multiple scales and their responses to the environment is essential in breeding, genetic, and physiological research to better understand genotype by environment interactions.


Faculty work in an interdisciplinary integrated teams (e.g., computational, statistics, biology, breeding, physiology, engineering expertise or any combination thereof) that emphasize the use of the LemnaTec and/or Spidercam® systems; contribute to improving existing, and developing new innovative and robust tools and algorithms for image and phenotypic data acquisition and analysis; and/or studies focusing on translating and scaling research from greenhouse to field or vice versa.

High density setaria planting at the Beadle Center greenhouses

Recent Publications

Sruti Das Choudhury, Jin-Gang Yu, Ashok Samala (2018). Leaf Recognition Using Contour Unwrapping and Apex Alignment with Tuned Random Subspace Method. Biosystems Engineering https://doi.org/10.1016/j.biosystemseng.2018.04.001

Sruti Das Choudhury, Srinidhi Bashyam, Yumou Qiu, Ashok Samal, Tala Awada (2018). Holistic and component plant phenotyping using temporal image sequence. Plant Methods doi.org/10.1186/s13007-018-0303-x

S. D. Choudhury, S. Bashyam, V. Stoerger, A. Samal (2018). Leaf Tracking based on Multi-view Image Sequence Analysis for Plant Phenotyping. IEEE Transactions on Image Processing under review

D. Jarquin, R. Howard, A. Xavier, S. D. Choudhury (2018). Increasing Predictive Ability by Modeling Interactions between Environments, Genotype and Canopy Coverage Image Data for Soybeans. Agronomy doi.org/10.3390/agronomy8040051