Sruti Das Choudhury

Sruti Das Choudhury

  • Contact Information
  • My Story
  • Publications
  • Background
  • Interests
  • Grants
  • Courses Taught

Contact Information

TitleImage Analysis Specialist
Faculty RankResearch Associate Professor
Address724 South Hardin Hall
3310 Holdrege Street
Lincoln NE

East Campus
  • office: 402-617-0477
VitaeDownload file


Contact Preference


Office Hours

Friday 10:00 - 11:00 am

Selected Publications

C. K. Tuggle, J. L. Clarke, B. M. Murdoch, E. Lyons, N. M. Scott, B. Beneš, J. D. Campbell, H. Chung, C. L. Daigle, S. D. Choudhury, J. C. M. Dekkers, J. R. R. Dórea, D. S. Ertl, M. Feldman, B. O. Fragomeni, J. E. Fulton, C. R. Guadagno, D. E. Hagen, A. S. Hess, L. M. Kramer, C. J. Lawrence-Dill, A. E. Lipka, T. Lübberstedt, F. M. McCarthy, P. S. Schnable, Current Challenges and Future of Agricultural Genomes to Phenomes in the USA, Genome Biology, 25(8), January 2024. Online
Das Choudhury S, Guadagno CR, Bashyam S, Mazis A, Ewers BE, Samal A and Awada T (2024) Stress phenotyping analysis leveraging autofluorescence image sequences with machine learning. Front. Plant Sci. 15:1353110. doi: 10.3389/fpls.2024.1353110Online
A. Das, S. D. Choudhury, A. K. Das, A. Samal, T. Awada, EmergeNet: A Novel Deep-Learning based Ensemble Segmentation Model for Emergence Timing Detection of Coleoptile, Frontiers in Plant Science, 14(2023), February 2023.Online
Das Choudhury S, Saha S, Samal A, Mazis A and Awada T (2023) Drought stress prediction and propagation using time series modeling on multimodal plant image sequences. Front. Plant Sci. 14:1003150. doi: 10.3389/fpls.2023.1003150.Online
K. T. Joseph, K. Muvva, H. Mwunguzi, A. Haake, C. Liew, A. Balabantaray, S. Behera, A. Kalra, K. K. Vattiam Srikanth, S. Pitla and S. D. Choudhury, CottonHusker: Deep Learning Enabled Cotton Picking Robot for Smart Agriculture, International Conference on Systems and Technology for Smart Agriculture (ICSTA), Kolkata, India, December 2023.
R. Quiñones, F. Munoz-Arriola, S. D. Choudhury, A. Samal, OSC-CO2: Coattention and Cosegmentation Framework for Plant State Change with Multiple Features, Frontiers in Plant Science, 14: doi: 10.3389/fpls.2023.1211409, October 2023. Online
S. D. Choudhury, C. Rosaria Guadagno,, University of Nebraska-Lincoln and University of Wyoming AutoFluorescence Dataset (UNL-UW-AFD) to facilitate stress detection and phenotype computation, and also identify genetic variation within Brassica rapa types under drought using autofluorescence imaging.
Choudhury, S. D., Guha, S., Das, A., Das, A. K., Samal, A. K., Awada, T. N. (2022). FlowerPhenoNet: Automated Flower Detection from Multi-View Image Sequences Using Deep Neural Networks for Temporal Plant Phenotyping Analysis. REMOTE SENSING, 14(24).Online
Fan, X., Zhou, R., Tjahjadi, T., Das Choudhury, S., Ye, Q. (2022). A Segmentation-Guided Deep Learning Framework for Leaf Counting. Frontiers in Plant Science. Online
Bashyam, S., Choudhury, S. D., Samal, A. K., Awada, T. N. (2021). Visual Growth Tracking for Automated Leaf Stage Monitoring Based on Image Sequence Analysis. REMOTE SENSING, 13(5).Online
Quiñones, R., Munoz-Arriola, F., Das Choudhury, S., Samal, A. (2021). Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping. PLOS ONE, 16(9), 21.
Zhou, L., Fan, X., Tjahjadi, T., Das Choudhury, S. (2021). Discriminative attention-augmented feature learning for facial expression recognition in the wild. Neural Computing and Applications. 34: 925–936.
Das Choudhury, D., Samal, A., and Awada, T. 2019. Leveraging Image Analysis for High-Throughput Plant Phenotyping. Frontiers in Plant Science. doi: 10.3389/fpls.2019.00508 Online
Das Choudhury, S., Bashyam, S., Qui, Y., Samal, A., Awada, T. (2018). Holistic and Component Plant Phenotyping using Temporal Image Sequence. Holistic and Component Plant Phenotyping using Temporal Image Sequence, Plant Methods. 14(35).
Das Choudhury, S., Bashyan, S., Qiu, Y., Samal, A. K., Awada, T. N. (2018). Holistic & component plant phenotyping using temporal image sequence. Holistic & component plant phenotyping using temporal image sequence, 14, 35.
Fan, X., Ye, Q., Yang, X., Das Choudhury, S. (2018). Robust Blood Pressure Estimation using a RGB Camera. Robust Blood Pressure Estimation using a RGB Camera.
Jarquin, D., Howard, R., Xavier, A., Das Choudhury, S. (2018). Increasing Predictive Ability by Modeling Interactions between Environments. Increasing Predictive Ability by Modeling Interactions between Environments, 8(4).
S. D. Choudhury, T. Tjahjadi, 2014. Robust View-Invariant Multiscale Gait Recognition, Pattern Recognition, 48: 798 - 811.Online
S. D. Choudhury, T. Tjahjadi, 2013. Gait Recognition Based on Shape and Motion Analysis of Silhouette Contour, Computer Vision and Image Understanding, 117: 1770-1785.Online



DegreeMajorInstitutionYear Awarded
Doctorate of PhilosophyComptuer Science EngineeringUniversity of Warwick, United Kingdom2013
Master of ScienceComptuer Science and ApplicationUniversity of Calcutta, India2009
Bachelor of ScienceInformation TechnologyWest Bengal University of Technology, India2005



TitleAwarded byYear Awarded
Faculty Inclusive Excellence (Holling Family Teaching Excellence Awards)College of Agricultural and Natural Resources | UNL2024
Honorable mention, Outstanding Postdoctoral ScholarUniversity of Nebraska-Lincoln, USA2017
Postdoctoral Research AssociateDepartment of Computer Science and Engineering, UNL2016
IPPN Travel Grant4th International Plant Phenotyping Symposium2016
KDD-DSFEW Travel AwardKDD Data Science for Food Energy and Water Workshop2016
AusPheno2016 Travel Award5th International Controlled Environment Conference2016
Early Career Research FellowshipInstitute of Advanced Study, University of Warwick2014




SNR Program Areas

  • Environmental Science

Areas of Interest/Expertise

  • Image-based Plant Phenotyping Analysis
  • Gait Recognition
  • Medical Image Analysis


Currently this page only displays grants that were awarded on 1/1/ 2009 to the present. If a grant was awarded prior to 1/1/ 2009 and is still active, it will not be displayed on this page.

Grant TitleEvent-Based Plant Phenotyping using Deep Learning, Algorithms, Tools and Datasets
Starting Date06/07/2022


Ending Date01/31/2023
Funding Level$50,000.00
Funding AgencyIowa State University


Grant Title3-D image-based Plant Phenotyping
Starting Date10/01/2017


Ending Date09/30/2018
Funding Level$5,000.00
Funding AgencyIowa State University


Courses Taught

Course NumberCourse TitleFall Even YearsFall Odd YearsSpring Even YearsSpring Odd YearsSummer SessionCross Listing
NRES 498/898Computer Vision and Artificial Intelligence Challenges in AgricultureXX