Skip to main content Skip to navigation
Dr. Sindhuja Sankaran Phenomics Lab

Publications

Refereed Publications

2023

  • Sangjan, W., McGee, R.J., and Sankaran, S. Evaluation of forage quality in a pea breeding program using a hyperspectral sensing system. Computer and Electronics in Agriculture, 212, 108052.
  • Herr, A. W., Adak, A., Carroll, M. E., Elango, D., Kar, S., Li, C., Jones, S.E., Carter, A.H., Murray, S.C., Paterson, A., Sankaran, S., Singh, A., and Singh, A. Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding. Crop Science, 63 (4), 1722-1749.
  • Interdisciplinary Plant Science Consortium (Baxter, I). 2023. Inclusive collaboration across plant physiology and genomics: Now is the Time! Plant Direct, 7 (5), e493. https://doi.org/10.1002/pld3.493.
  • Raman, M.G., Marzougui, A., Teh, S.L., York, Z.B., Evans, K.M., and Sankaran, S. 2023. Rapid assessment of architectural traits in pear rootstock breeding program. Remote Sensing, 15(6), 1483; https://doi.org/10.3390/rs15061483.
  • Marzougui, A., McGee R.J., Van Vleet, S., and Sankaran, S. Remote sensing for field pea yield estimation: A study of multi-scale data fusion approaches in phenomics. Frontiers in Plant Science, 14:1111575. 10.3389/fpls.2023.1111575.
  • Tang, Z., Wang, M., Schirrmann, M., Dammer, K.H., Li, X., Brueggeman, R., Sankaran, S., Carter, A., Pumphrey, M., Hu, Y., Chen, X., and Zhang, Z. Affordable high throughput field detection of wheat stripe rust using deep learning with semi-automated image labeling. Preprints-57181, Computers and Electronics in Agriculture, 207, 107709.
  • Zhang, C., Serra, S., Quirós-Vargas, J., Sangjan, W., Musacchi, S., and Sankaran, S. 2023. Non-invasive sensing techniques to phenotype multiple apple tree architectures. Information Processing in Agriculture, 10 (1), 136-147, https://doi.org/10.1016/j.inpa.2021.02.001.
  • Zhang, C., Chen, T., Chen, W., and Sankaran, S. Non-invasive evaluation of Ascochyta blight disease severity in chickpea using field-asymmetric ion mobility spectrometry and hyperspectral imaging techniques. Crop Protection, 165, 106163.
  • see complete list

Book Chapters

  • Zhang, C., and Sankaran, S. 2022. High-throughput extraction of seed traits using image acquisition and analysis. Editor: Lorence, A. Springer. In Methods in Molecular Biology, 2539:71-76, 10.1007/978-1-0716-2537-8_8, 71-76.
  • Sankaran, S., Khot, L.R., and Ehsani, R. 2019. Applies remote sensing systems in phytopathology. In ‘Precision phytopathology: Frontiers of Science’, Editors: Edson Luiz Furtado, Sérgio Florentino Pascholati, Waldir Cintra de Jesus Junior, Willian Bucker Moraes, Fundação de Estudos e Pesquisas Agrícolas e Florestais (FEPAF), Brazil, pp. 25-45.
  • Sankaran, S., Zhang, C., and Marzougui, A. 2017. Sensing for stress detection and high-throughput phenotyping in precision horticulture. In ‘Automation in tree fruit production: Principles and practice’, Editor: Zhang Q. CABI, pp. 28-42.
  • Sankaran, S., Khot, L.R., and Ehsani, R. 2014. Mid- and Far-infrared Imaging. In ‘Imaging with Electromagnetic Spectrum: Applications in Food and Agriculture’. Editors: Alahakoon, M.K., Annamalai, M., and Jayasuriya, H.P.W. Springer, 129-146.
  • Sankaran, S., and Ehsani, R. 2014. Introduction to the Electromagnetic Spectrum. In ‘Imaging with Electromagnetic Spectrum: Applications in Food and Agriculture’. Editors: Alahakoon, M.K., Annamalai, M., and Jayasuriya, H.P.W. Springer, 1-15.
  • Aksenov, A., Guaman, N.A.V., Sankaran, S., Fung, A.G., Pasamontes, A., Frederico, M., Cheung, W.H.K., Ehsani, R., Dandekar, A.M., and Davis, C.E. 2013. Volatile organic compounds (VOCs) for noninvasive plant diagnostics. In ‘Pest Management with Natural Products’. Editors, J.J. Beck, J.R. Coats, S.O. Duke, M.E. Koivunen. ACS Publications, doi: 10.1021/bk-2013-1141.fw001, pp. 73-95.
  • Van Leeuwen, J. (Hans), Rasmussen, M.L., Sankaran, S., Koza, C.R., Erickson, D.T., Mitra, D., and Jin, B. 2011. Fungal treatment of crop processing wastewaters with value-added co-products. In ‘Sustainable Bioenergy and Bioproducts’. Eds: Kasthurirangan Gopalakrishnan, Hans van Leeuwen, Robert C. Brown. Chapter II, Springer-Verlag Inc., pp. 13-44.

Proceeding Publications/Reports

  • Sangjan, W., Pukrongta, N., Carter, A. H., Pumphrey, M. O., and Sankaran, S. 2022. Development of IoT-based camera system for automated in-field monitoring to support crop breeding Programs. Authorea Preprints.
  • Sangjan, W., Carter, A. H., Pumphrey, M. O., and Sankaran, S. 2021. Development of sensor system for the internet of things (IoT)-based automated in-field monitoring to support crop improvement programs. Paper No. 2100696, In 2021 American Society of Agricultural and Biological Engineers (ASABE) Annual International Virtual Meeting (AIM), American Society of Agricultural and Biological Engineers.
  • Parhi, A., Sonar, C. R., Zhang, C., Rasco, B., Sankaran, S., Tang, J., and Sablani, S. S. 2020. Agar gel-based oxygen indicator for detection of defects in metal-oxide-coated multilayered food packaging films. Paper No. 2001337, In 2020 ASABE Annual International Virtual Meeting (p. 1). American Society of Agricultural and Biological Engineers.
  • Sankaran, S., Zhang, C., Hurst, P.J., Marzougui, A., Sivakumar, A.V.N., Li, J., Schnable, J., and Shi, Y. 2020. Investigating the potential of satellite imagery for high-throughput field phenotyping applications. In Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V (Vol. 11414). International Society for Optics and Photonics (SPIE).
  • Zhang, C., Craine, W., Davis, J. B., Khot, L. R., Marzougui, A., Brown, J., Hulbert, S. H., and Sankaran, S. 2018. Detection of canola flowering using proximal and aerial remote sensing techniques. Proceeding SPIE 10664, Autonomous air and ground sensing systems for agricultural optimization and phenotyping (III).
  • Zhang, C., Pumphrey, M., Zhou, J., Gao, H., Zhang, Q., and Sankaran, S. 2017. Development of automated high-throughput phenotyping system for controlled environment studies, Paper No. 1700581, 2017 American Society of Agricultural and Biological Engineers (ASABE) Annual International Meeting (AIM), Spokane, WA.
  • Sankaran, S., Carter, A.H., Slaughter, D.C., Kirchhoff, H., Okamuro, J.K., Poland, J., and Kalcsits, L.A. 2016. Conference Summary Report on ‘Advances in Field-Based High-throughput Phenotyping and Data Management: Grains and Specialty Crops’.
  • Sankaran,  S., Khot, L.R., Quirós, J., Vandemark, G.J., and McGee, R.J. 2016. UAV-based high-throughput phenotyping in legume crops, Proceeding SPIE 9866, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, 98660G (May 17, 2016); doi: http://dx.doi.org/10.1117/12.2228550.
  • Zúñiga, C.E., Khot, L.R., Jacoby, P., and Sankaran, S. 2016. Remote sensing based water-use efficiency evaluation in sub-surface irrigated wine grape vines. Proceeding SPIE 9866, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, 98660O (May 17, 2016); doi: http://dx.doi.org/10.1117/12.2228791.
  • see complete list