Publications

[1] S. D. Choudhury, S. Maturu, A. Samal, V. Stoerger, T. Awada. "Leveraging Image Analysis to Compute 3D Plant Phenotypes based on Voxel-Grid Plant Reconstruction", , Frontiers in Plant Science, 11(521431), 2020

[2] S. D. Choudhury, S. Guha, A. Das, A. K. Das, A. Samal, T. Awada, "FlowerNetPheno: A Deep Learning System for Flower Detection using Image Sequence Analysis for Temporal Phenotyping", Plant Phenomics, under review, 2020

[3] S. D. Choudhury, "Time Series Modeling for Phenotypic Prediction and Phenotype-Genotype Mapping using Neural Networks", , ECCV Workshop on Computer Vision Problems in Plant Phenotyping, August, 2020, Glasgow, UK

[4] A. Mazis, S. D.  Choudhury, P. B. Morgan, V. Stoerger, J. Hiller, Y. Ge, T. Awada, "Application of High-Throughput Plant Phenotyping in Assessing Biophysical Traits and Drought Response of Two Oak Species under Controlled Environment", Forest Ecology and Management, Volume 465, March,2020

[5] S. D.  Choudhury, A. Samal, T. Awada, "Leveraging Image Analysis for Plant Phenotyping", Frontiers in Plant Science, 10(508), 2019.

[6] S. Bashyam, S. D.  Choudhury, V. Stoerger, A. Samal, "Visual Growth Tracking for Automated Leaf Stage Monitoring based on Image Sequence Analysis", Remote Sensing, 13(5), 2021.

[7] S.D. Choudhury, S. Bashyam, Y. Qin, A. Samal, T. Awada, "Holistic and Component Plant Phenotyping using Visible Light Image Sequence", Plant Methods,  14:35, November, 2018

[8] D. Jarquin, R. Howard, A. Xavier, S. D. Choudhury, “Increasing Predictive Ability by Modeling Interactions between Environments, Genotype and Canopy Coverage Image Data for Soybeans”, Agronomy, vol. 8, no. 4, pp. 51, 2018.

[9] S.D. Choudhury, Jin-Gang Yu, A. Samal, "Leaf Recognition Using Contour Unwrapping and Apex Alignment with Tuned Random Subspace Method", Biosystems Engineering, vol. 170, pp. 72-84, 2018.

[10] S.D. Choudhury, S. Goswami, S. Bashyam, A. Samal, T. Awada, "Automated Stem Angle Determination for Temporal Plant Phenotyping Analysis", ICCV workshop on CVPPP, Venice, Italy, July, 2017.

[11] S. D. Choudhury, V. Stoerger, A.  Samal,  J. C. Schnable,  Z. Liang,  J-G. Yu, "Automated Vegetative Stage Phenotyping Analysis of Maize Plants using Visible Light Images", KDD workshop on Data Science for Food, Energy and Water (KDD -DSFEW), San Francisco, California, USA, 2016.

[1] S.D. Choudhury, S. Goswami,  A. Chakrabarti, "Time series and Eigen value based analysis of plant phenotypes", Intelligent Image Analysis for Plant Phenotyping, CRC Press. publication date: fall 2020.

[2] S.D. Choudhury, "Segmentation techniques and challenges in plant phenotyping", Intelligent Image Analysis for Plant Phenotyping, CRC Press. publication date: fall 2020.

[3] S.D. Choudhury, A. Samal, "Structural high-throughput plant phenotyping based on image sequence analysis", Intelligent Image Analysis for Plant Phenotyping, CRC Press. publication date: fall 2020.

[4] S. Gampa, R. Quinones, "Data-Driven Techniques forPlant Phenotyping Using Hyperspectral Imagery", Intelligent Image Analysis for Plant Phenotyping, CRC Press. publication date: fall 2020.

[5] A. Samal, S.D. Choudhury, T. Awada, "Image-based plant phenotyping: Opportunities and challenges, Intelligent Image Analysis for Plant Phenotyping", Intelligent Image Analysis for Plant Phenotyping, CRC Press. publication date: fall 2020.

[6] S. Bashyam, S. Bhatia, "Image Processing Techniques for Plant Phenotyping", Intelligent Image Analysis for Plant Phenotyping, CRC Press. publication date: fall 2020.

[7] R. Howard, D. Jarquin, A. Xavier et al., "Predicting Yield by Modeling Interactions between Canopy Coverage Image Data, Genotypic and Environmental Information for Soybeans", Intelligent Image Analysis for Plant Phenotyping, CRC Press. publication date: fall 2020.

[1] Suraj Gampa, A Data-driven Approach for Detecting Stress in Plants Using Hyperspectral Imagery, Advisors - Ashok Samal, Sruti Das Choudhury MS Thesis, 2019, University of Nebraska Lincoln

[2] Srinidhi Bashyam, Determination of Plant Architecture and Component Phenotyping Based on Time-lapse Image Analysis, Advisors - Ashok Samal, James Schnable MS Thesis, 2017, University of Nebraska Lincoln

[3] Bhushit Agarwal, Detection of Plant Emergence based on Spatio-Temporal Image Sequence Analysis, Advisors - Ashok Samal, James Schnable MS Thesis, 2017, University of Nebraska Lincoln

[1] “Recent Advances of Artificial Intelligence in Multimodal Plant Phenotyping Analysis” By Sruti Das Choudhury Webinar at Open Data Science Conference (ODSC), on 17^th August, 2020. Organizer: ODSC, Kolkata Chapter, India.

[2] “Next Generation Plant Phenotyping: Machine Learning and Deep Learning Approaches” By Sruti Das Choudhury at Plant Phenotyping and Imaging Research Centre Symposium, on 17^thOctober, 2018. Organizer: Global Institute for Food Security, Saskatoon, Canada.

[3] “Intelligent Plant Phenotyping Analysis using Multimodal and Multi-view Image Sequences” By Sruti Das Choudhury at Amitava De Memorial Hall, Department of Computer Science and Engineering, Jadavpur  University, Kolkata on 29^th October, 2016. Organizer: IEEE Young Professionals, Kolkata  Chapter.

[4] “Image-based plant phenotyping analysis” By Sruti Das Choudhury held at Amitava De Memorial Hall, Department of Computer Science and Engineering, Jadavpur  University, Kolkata, India on 29^th September, 2016. Organizer: IEEE Young Professionals, Kolkata  Chapter.

[5] "Intelligent Image Analysis for Plant Phenotyping" by Sruti Das Choudhury in the Indian Statistical Institute, Kolkata, India, on 28th November, 2017.

[1] "Deep Learning for Early Detection and Temporal Propagation of Drought Stress based on Hyperspectral Imagery: Dataset, Algorithm and Analysis", presented by Dr. Sruti Das Choudhury at the 5th International Plant Phenotyping Symposium, Adelaide, Australia, October, 2018.

[2] "Intelligent Plant Phentyping Analysis using Multi-modal and Multi-view Image Sequences", presented by Dr. Sruti Das Choudhury at the Plant Phenotyping Symposium held at the University of Nebraska-Lincoln, USA, April, 2, 2018.

[3] "Automated Stem Angle Determination for Temporal Plant Phenotyping Analysis",  presented by Dr. Sruti Das Choudhury in the ICCV workshop on Computer Vision Challenges in Plant Phenotyping, Venice, Italy, November, 2017.

[4] "Holistic and Component-based Automated Plant Phenotyping Analysis using VisibleLight Images" presented by Dr. Sruti Das Choudhury at the 5th International Controlled Environment Conference (AusPheno2016), Canberra, Australia, September, 2016.

[5] "Holistic and Component-based Dynamic Vegetative-Stage Plant Phenotyping Analysis" presented by Dr. Sruti Das Choudhury at the 4^th International Plant Phenotyping Symposium, CIMMYT, Mexico, December, 2016.

[6] "Automated Vegetative Stage Phenotyping Analysis of Maize Plants using Visible Light Images", presented by Dr. Sruti Das Choudhury in the KDD workshop on Data Science for Food, Energy and Water, San Francisco, California, USA, August 2016.

[1] “3D Plant Phenotyping Research - Dataset, Algorithm and Analysis”, Sruti Das Choudhury, Srikanth Maturu, Vincent Stoerger, Ashok Samal, Tala Awada, in NSF Big Data Hub: Digital Agriculture Community Meeting, University of Nebraska-Lincoln, Lincoln, NE, USA, September, 2018.

[2] “Holistic and Component Plant Phenotyping Analysis using Visible Light Image Sequence”, Sruti Das Choudhury, Srinidhi Bashyam, Vincent Stoerger, Ashok Samal, Tala Awada, in Phenome 2018, Tuscon, Arizona, USA, February, 2018.

[3] “Automated Leaf Tracking of Maize Plants for Monitoring Leaf Growth”, Sruti Das Choudhury, Tala Awada, Ashok Samal, Vincent Stoerger and Srinidhi Bashyam, in AGU Fall Meeting, New Orleans, USA, December, 2017.

[4] “Image-based Automated Vegetative-Stage Dynamic Phenotyping Analysis of Maize Plants”, Sruti Das Choudhury, Ashok Samal, in AusPheno-5^th International Controlled Environment Conference, Canberra, Australia, September, 2016.

[5] “Computer Vision Based Phenotyping of Panicoid Crops”, Zhikai Liang , Srinidhi Bashyam, Ashok Samal, Sruti Das Choudhury, Geng Bai, Yufeng Ge, Oscar Rodriguez and James C. Schnable, in the  North American Plant Phenotyping Network (NAPPN) Inaugural Convening Event, Purdue University, USA, August 2016.