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Dr. Sindhuja Sankaran Phenomics Lab

Presentations [Selected]

  • Sangjan, W.*, Carter, A.H., Pumphrey, M.O., Hagemeyer, K., Jitkov, V., and Sankaran, S. 2023. Effect of UAV and high-resolution satellite imagery plot pixel resolution on assessment of crop performance in spring and winter wheat breeding programs. Paper No. 2301067, 2023 ASABE AIM, Omaha, NE, 10-12 July 2023.
  • Valencia‐Ortiz, M.*, McGee, R., and Sankaran, S. 2023. Volatile biomarker-based detection of Aphanomyces root rot in pea using field asymmetric ion mobility spectrometry. Paper No. 2300920, 2023 ASABE AIM, Omaha, NE, 10-12 July 2023.
  • Sangjan, W.*, McGee, R., and Sankaran, S. 2023. Evaluation of forage quality in a pea breeding program using hyperspectral sensing system. Paper No. 2301065, 2023 ASABE AIM, Omaha, NE, 10-12 July 2023.
  • Sangjan, W.*, Pukrongta, N., Carter, A.H., Pumphrey, M.O., and Sankaran, S. 2023. AGIcam: IoT-based multispectral sensor system for real-time and automated in-field crop monitoring. Paper No. 2301064, 2023 ASABE AIM, Omaha, NE, 10-12 July 2023.
  • Veloo, K.*, Valencia‐Ortiz1, M., Pumphrey, M.O., Carter, A.H., and Sankaran, S. 2023. Multispectral and thermal camera integrated sensor system development and evaluation for in-field crop monitoring for IoT applications. Paper No. 2301202, 2023 ASABE AIM, Omaha, NE, 10-12 July 2023.
  • Valencia‐Ortiz, M.*, McGee, R., Carter, A.H., and Sankaran, S. 2023. Effect of radiometric correction as a function of UAV flight altitudes on vegetation indices and yield prediction. Paper No. 2300922, 2023 ASABE AIM, Omaha, NE, 10-12 July 2023.
  • Umani, K.*, McGee, R., Vandemark, G., and Sankaran, S. 2023. Genotype x environment interaction and stability analysis of crop performance in pulse crop utilizing multi-environment trials in Palouse region of USA. Paper No. 2300760, 2023 ASABE AIM, Omaha, NE, 10-12 July 2023.
  • Umani, K.*, Valencia‐Ortiz1, M., and Sankaran, S. 2023. Development and evaluation of field volatile organic compounds sampling unit for rapid profiling of potato postharvest quality. Paper No. 2300926, 2023 ASABE AIM, Omaha, NE, 10-12 July 2023 (Poster).
  • Sangjan, W.*, Pukrongta, N., Carter, A. H., Pumphrey, M. O., and Sankaran, S. 2023. Development of IoT-based sensor system for automated in-field monitoring to support crop breeding programs. North American Plant Phenotyping Network Annual Conference, St. Louis, MO, 14-17 February 2023.
  • Marzougui, A.*, Ma, Y., McGee, R., Khot, L.R., and Sankaran, S. 2022. Image-based evaluation of Aphanomyces root rot severity in lentil: A machine learning approach. 8th International Legume Root Diseases Workshop, 23-26 August 2022. [Virtual]
  • Sankaran, S.*, Kothawade, G.S., Sangjan, W., Bates, A., Schroeder, B., and Khot, L.R. Postharvest disease detection in stored potatoes using rapid volatile sensing techniques. S23: International Symposium on Postharvest Technologies to Reduce Food Losses. 2022 International Horticultural Congress, Angers, France, 15-18 August 2022.
  • Marzougui, A., McGee, R.J., Van Vleet, S., and Sankaran, S.* Multi-scale image and feature field pea dataset fusion for remote sensing applications in phenomics. S18: III International Symposium on Mechanization, Precision Horticulture, and Robotics: Precision and Digital Horticulture in Field Environments, 2022 International Horticultural Congress, Angers, France, 17-19 August 2022.
  • Sankaran, S., Carlos, E., and Raman, M.G. 2022. Modeling 3D architecture of adult peach trees (Prunus persica) using remote sensing data. S18: III International Symposium on Mechanization, Precision Horticulture, and Robotics: Precision and Digital Horticulture in Field Environments, 2022 International Horticultural Congress, Angers, France, 17-19 August 2022.
  • Sankaran, S., Raman, M.G., York, Z., Carlos, E., Teh, S.L., and Evans, K. 2022. Remote sensing tools to assist in phenotyping canopy architecture in pear rootstock breeding program. S18: III International Symposium on Mechanization, Precision Horticulture, and Robotics: Precision and Digital Horticulture in Field Environments, 2022 International Horticultural Congress, Angers, France, 17-19 August 2022.
  • Sangjan, W.*, Carter, A.H., Pumphrey, M.O., Jitkov, V., and Sankaran, S. 2022. Effect of plot pixel resolution on crop performance assessment using features extracted from UAV and high‐resolution satellite imagery. Paper No. 2201235, 2022 ASABE AIM, Houston, TX, 18-20 July 2022.
  • Raman, M.G., Carlos, E.F., and Sankaran, S.* Optimization of 3D reconstruction process and semi‐automated extraction of architectural features from peach trees using UAV imagery. Paper No. 2200630, 2022 ASABE AIM, Houston, TX, 18-20 July 2022.
  • Marzougui, A.*, McGee, R.J., Van Vleet, S., and Sankaran, S. 2022. Field‐based phenomics using UAS and high-resolution satellite imagery to support pea cultivar selection, Paper No. 2201173, 2022 ASABE AIM, Houston, TX, 18-20 July 2022.
  • Sangjan, W.*, McGee, R.J., and Sankaran, S. 2022. Evaluation of forage quality in a pea breeding program using hyperspectral sensing system. Paper No. 2200657, 2022 ASABE AIM, Houston, TX, 18-20 July 2022.
  • Carlos, E.F.*, Noranha, D., Ferreira, L.G., Ribeiro, L.S., and Sankaran, S. 2022. Modeling tree canopy features of a citrus orchard in Brazil for breeding and precision agriculture applications. Paper No. 2200631, 2022 ASABE AIM, Houston, TX, 18-20 July 2022.
  • Marzougui, A.*, McConnel, C.S., Adams‐Progar, A., and Sankaran, S. 2022. Towards machine learning‐based disease‐specific summary measure to evaluate health status in dairy cattle. Paper No. 2200600, 2022 ASABE AIM, Houston, TX, 18-20 July 2022.
  • Valencia‐Ortiz, M.*, and Sankaran, S. 2022. Development of a semi‐automated volatile organic compounds (VOCs) sampling system for field asymmetric ion mobility spectrometry (FAIMS) analysis. Paper No. 2200617, 2022 ASABE AIM, Houston, TX, 18-20 July 2022.
  • Marzougui, A.*, McConnel, C.S., Adams-Progar, A., and Sankaran, S. 2022. Machine learning-based approach to predict disease burden in dairy cattle. Plant and Animal Genome (PAG) Conference, 7-11 January 2022 (Virtual).
  • Marzougui, A.*, McGee, R.J., Van Vleet, S., and Sankaran, S. 2021. Improved field-phenomics protocol for selecting superior pea breeding lines using UAV and satellite-based remote sensing. Paper No. 2100469, 2021 ASABE AIM (Virtual), 12-16 July 2021.
  • Sangjan, W.*, Carpenter-Boggs, L., Hudson, T.D., and Sankaran, S. Pasture productivity assessment under mob grazing and fertility management using remote sensing techniques. Paper No. 2100695, 2021 ASABE AIM (Virtual), 12-16 July 2021.
  • Zhang, C.*, Chen, T., Chen, W., and Sankaran, S. 2021. Ascochyta blight detection in chickpea using chemical and optical sensing systems. Paper No. 2100678, 2021 ASABE AIM (Virtual), 12-16 July 2021.
  • Sangjan, W.*, Carter, A.H., Pumphrey, M.O., Jitkov, V., and Sankaran, S. Development of sensor system for the internet of things (IoT)-based automated in-field monitoring to support crop improvement programs. Paper No. 2100696, 2021 ASABE AIM (Virtual), 12-16 July 2021.
  • Sangjan, W.*, Carter, A.H., Pumphrey, M.O., and Sankaran, S. Internet of things-based sensor system for automated in-field monitoring to support crop improvement program. Samaggi Abstract Competition. The 13th Samaggi Academic Conference and Careers Fair (SACC), Virtual Conference organized by Samaggi Samagom, a non-profit Thai Students’ Association in the United Kingdom.
  • Sangjan, W.*, Carter, A.H., and Pumphrey, M.O., and Sankaran, S. 2021. IoT-based camera system for field phenotyping applications. 2021 North American Plant Phenotyping Network Annual Meeting, 16-19 February 2021 (Poster). [Virtual]
  • Zhang, C.*, McGee, R., Vandemark, G., and Sankaran, S. Machine learning model to assess yield potential in pea and chickpea breeding trials across seasons and locations. 2021 North American Plant Phenotyping Network Annual Meeting, 16-19 February 2021 (Poster). [Virtual]
  • Marzougui, A.*, McGee, R.J., Van Vleet, S., and Sankaran, S. 2021. Leveraging satellite and UAV multispectral imagery for pea cultivar selection. 2021 North American Plant Phenotyping Network Annual Meeting, 16-19 February 2021 (Poster). [Virtual]
  • Sankaran, S.*, Kothawade, G.S., Bates, A., Sangjan, W., Schroeder, B., and Khot, L.R. Real-time detection of postharvest diseases in stored potatoes using volatile sensing techniques. Paper No. 2000928, 2020 The Potato Association of America Virtual Annual Meeting, 20-23 July 2020.
  • Zhang, C.*, McGee, R., Vandemark, G., and Sankaran, S. Phenomics technologies for evaluating performance of dry pea and chickpea in breeding programs. Paper No. 2000075, 2020 ASABE AIM (Virtual), 12-15 July 2020.
  • Sangjan, W.*, McGee, R., J., Zhang, C., and Sankaran, S. 2020. Biomass estimation using remote sensing techniques in forage and pasture crops. Paper No. 2000758, 2020 ASABE AIM (Virtual), 12-15 July 2020.
  • Zhang, C., McGee, R., Vandemark, G., and Sankaran, S.* 2019. NIFA: Proximal and remote sensing techniques for phenotyping agronomic and performance traits in pulses. 2019 National Association of Plant Breeders (NAPB) Annual Meeting, Pine Mountain, GA, 25-29 August 2019 (Poster).
  • Sankaran, S.*, Zúñiga, C.E., Hinojosa, L., and Murphy, K. 2019. High-throughput sensing to evaluate irrigation treatment responses in quinoa varieties. Paper No. 1901360, 2019 ASABE AIM, Boston, MA, 7 July-10 July 2019.
  • Zhang, C.*, Craine, W., Quirós, J., McGee, R., Vandemark, G., Davis, J., Brown, J., Hulbert, S., and Sankaran, S. 2019. Trait evaluation of cool-season crops using high-throughput phenotyping technologies. Paper No. 1901201, 2019 ASABE AIM, Boston, MA, 7 July-10 July 2019.
  • Marzougui, A.*, Ma, Y., McGee, R., and Sankaran, S. 2019. Deep neural networks for aphanomyces root rot severity in lentil. Paper No. 1901209, 2019 ASABE AIM, Boston, MA, 7-10 July 2019.
  • Sangjan, W.*, Sankaran, S., Khot, L.R., Schroeder, B.K., and Marzougui, A. 2019. Biomarker detection for high-throughput sensing of soft rot disease in stored potatoes. Paper No. 1901406, 2019 ASABE AIM, Boston, MA, 7-10 July 2019.
  • Zhang, C.*, Craine, W., Quirós, J., McGee, R., Vandemark, G., Davis, J., Brown, J., Hulbert, S., and Sankaran, S. 2019. Monitoring flowering in cool-season crops using proximal and aerial remote sensing techniques. Phenome 2019 Conference, Tucson, AR, 6-9 February 2019 (Poster).
  • Marzougui, A., Rajendran, A., Ma, Y., Mattinson, D.S., McGee, R.J., and Sankaran, S.* 2019. Biogenic marker detection for high-throughput phenotyping of Aphanomyces root rot resistance in pea. Phenome 2019 Conference, Tucson, AR, 6-9 February 2019 (Talk + Poster).
  • Zhang, C.*, Guan, H., Quirós, J.J., Khot, L., Chen, W., and Sankaran, S. 2018. Proximal and remote sensing methods to evaluate Ascochyta blight disease severity in chickpea. Paper No. 1800939, 2018 ASABE AIM, Detroit, MI, 29 July-1 August 2018.
  • Chakraborty, M., Khot, L.R.*, Sankaran, S., and Jacoby, P. 2018. Evaluation of mobile 3D time of flight based canopy mapping system for tree fruit crops. Paper No. 1801540, 2018 ASABE AIM, Detroit, MI, 29 July-1 August 2018.
  • Quirós, J.J., Musacchi, S., Serra, S., and Sankaran, S.* 2018. High-throughput phenotyping of tree canopy architecture for breeding and production management. Paper No. 1801624, 2018 ASABE AIM, Detroit, MI, 29 July-1 August 2018.
  • Rajendran, A., Ma, Y., Marzougui, A., Mattinson, D.S., McGee, R.J., Garcia-Perez, M., and Sankaran, S.* 2018. Biogenic marker detection for high-throughput phenotyping of Aphanomyces root rot resistance in pea. Paper No. 1801564, 2018 ASABE AIM, Detroit, MI, 29 July-1 August 2018.
  • Marzougui, A., Ma, Y., McGee, R.J., and Sankaran, S.* 2018. Hyperspectral imaging to phenotype Aphanomyces root rot disease resistance in lentil. Paper No. 1800915, 2018 ASABE AIM, Detroit, MI, 29 July-1 August 2018.
  • Zhang, C.*, Craine, W., Davis, J. B., Khot, L. R., Marzougui, A., Brown, J., Hulbert, S. H., and Sankaran, S. Detection of canola flowering using proximal and aerial remote sensing techniques. SPIE Conference (10664) on Autonomous air and ground sensing systems for agricultural optimization and phenotyping, Orlanda, FL, 16-17 April 2018.
  • Zúñiga, C.E.*, Hinojosa L., Ma, X., Murphy, K., and Sankaran S. 2018. Evaluation of proximal and remote sensing for high-throughput phenotyping of quinoa (Chenopodium quinoa) under water stress. Phenome 2018 Conference, Tucson, AR, 14-17 February 2018 (Poster).
  • Jarolmasjed, S.*, Kostick, S., Evans, K., and Sankaran, S. 2018. High-throughput phenotyping of apple fire blight resistance using digital imaging and hyperspectral sensing techniques. Phenome 2018 Conference, Tucson, AR, 14-17 February 2018 (Poster).
  • Marzougui, A.*, Ma, Y., McGee, R.J., and Sankaran, S. 2018. An image-based pipeline for quantifying Aphanomyces root rot disease severity in lentils. Plant and Animal Genome Conference XXVI, San Diego, CA, 13-17 January 2018 (Poster).
  • Quiros, J.J. , McGee, R.J., and Sankaran, S. * 2017. Remote sensing for phenotyping yield potential in dry pea. 2017 Annual National Association of Plant Breeders (NAPB) Meeting, Davis, CA, 7-10 August 2017 (Poster).
  • Marzougui, A.*, Ma, Y., Zhang, C., McGee, R.J., and Sankaran, S. 2017. High-throughput phenotyping for assessing Aphanomyces root rot disease resistance in lentils. Paper No. 1700404, 2017 ASABE AIM, Spokane, WA, 17-19 July 2017.
  • Osroosh, Y. *, and Sankaran, S. 2017. Development of a flexible phenomic field platform for high-throughput phenotyping in Palouse region of Washington State. Paper No. 1700407, 2017 ASABE AIM, Spokane, WA, 17-19 July 2017.
  • Zhang, C.*, Zhou, J., Pumphrey, M.O., Zhang, Q., and Sankaran, S. 2017. Development of automated high-throughput phenotyping system for controlled environment studies. Paper No. 1700581, 2017 ASABE AIM, Spokane, WA, 17-19 July 2017.
  • Zhang, C.*, Nurul Amin, M., McGee, R.J., Osroosh, Y., and Sankaran, S. 2017. Evaluation of arsenic uptake in lentil genotypes using phenomics. Paper No. 1700556, 2017 ASABE AIM, Spokane, WA, 17-19 July 2017.
  • Zúñiga, C.E.*, Khot, L.R., Jacoby, P., and Sankaran, S. 2017. Crop stress monitoring to evaluate sub-surface irrigation treatments in wine grapes using sensors. Paper No. 1700675, 2017 ASABE AIM, Spokane, WA, 17-19 July 2017.
  • Jarolmasjed, S.*, Khot, L.R., and Sankaran, S. 2017. Detecting bitter pit development in apples using hyperspectral imaging, Paper No. 1700741, 2017 ASABE AIM, Spokane, WA, 17-19 July 2017.
  • Jarolmasjed, S.*, Kostick, S., Evans, K., and Sankaran, S. 2017. Fire blight disease resistance assessment in apple breeding program using sensing techniques. Paper No. 1700402, 2017 ASABE AIM, Spokane, WA, 17-19 July 2017.
  • Sankaran, S.*, Zhang, C., Zhou, J., and McGee, R. 2017. Volatile organic compounds (VOCs) based phenotyping for disease resistance in dry peas. Paper No. 1701227, 2017 ASABE AIM, Spokane, WA, 17-19 July 2017.
  • Rathnayake, A.*, Zúñiga, C.E., Khot, L.R., Sankaran, S., and Jacoby, P. 2017. Applicability of 3D imaging for measuring grapevine plant growth under subsurface drip irrigation. Paper No. 1701180, 2017 ASABE AIM, Spokane, WA, 17-19 July 2017.
  • Khot, L.R.*, Zúñiga, C.E., Sankaran, S., and Jacoby, P. 2017. Role of low altitude remote sensing tools in growing wine grapes with less water. 3rd International Grape Symposium, Table Grape Growers Association, Hermosillo, Sonora, México, 26-27 January 2017.
  • Khot, L.R.*, Sankaran, S., and Kalcsits, L. 2016. Role of sensing technologies in apple bitter pit management. 1st International Apple Symposium, Yangling, Shaanxi, China, Sponsored by International Society for Horticultural Science (ISHS), 10-16 October 2016.
  • Zhang, C.*, Gao, H., Zhou, J., Cousins, A.B., Pumphrey, M.O., and Sankaran, S. 2016. 3D robotic system development for high-throughput crop phenotyping. Agricontrol 2016, Paper 53, 5th International Federation of Automatic Control (IFAC) Conference on Sensing, Control and Automation for Agriculture, Seattle, WA, 14-17 August 2016.
  • Sankaran, S.*, Slaughter, D.C., Carter, A.H., Kalcsits, L.A., Okamuro, J.K., Kirchhoff, H., and Poland, J. 2016. Integrating science and engineering to address needs in high-throughput phenotyping. Paper No. 2472820, 2016 ASABE AIM, Orlando, FL, 17-20 July 2016.
  • Sankaran, S.*, Quiros, J., Khot, L.R., Knowles, N.R., and Knowles, L. 2016. UAV-based imaging to assess potato emergence in horticulture and breeding programs. Paper No. 2540198, 2016 ASABE AIM, Orlando, FL, 17-20 July 2016.
  • Sankaran, S.*, and Si, Y. 2016. Visible imaging tools for high-throughput crop phenotyping. Paper No. 2461858, 2016 ASABE AIM, Orlando, FL, 17-20 July 2016.
  • Zúñiga, C.E.*, Jarolmasjed, S., Khot, L.R., Knowles, R. N., Pavek, M. J., Sankaran, S. 2016. Water stress tolerance detection in potatoes using visible-near infrared sensing techniques. Paper No. 2461685, 2016 ASABE AIM, Orlando, FL, 17-20 July 2016.
  • Zhou, J.*, Khot, L.R., Pavek, M.J. and Sankaran, S. 2016. Rapid assessment of hail damage in potato crops using remote sensing technology. Paper No. 162459762, 2016 ASABE AIM, Orlando, FL, 17-20 July 2016.
  • Jarolmasjed, S.*, Zúñiga, C.E., Sinha, R.R., Zhang, C., Kalcsits, L.A., Khot, L.R., and Sankaran, S. 2016. Evaluating effect of location on bitter pit incidence in ‘Honeycrisp’ apples using sensing techniques. Paper No. 162461752, 2016 ASABE AIM, Orlando, FL, 17-20 July 2016.
  • Zhang, C.*, Gao, H., Zhou, J., Cousins, A.B., Pumphrey, M.O., and Sankaran, S. 2016. Developing low-cost 3D platform for automated phenotyping in controlled environment. Paper No. 162461532, 2016 ASABE AIM, Orlando, FL, 17-20 July 2016.
  • Sankaran, S., Khot, L.R.*, Quirós, J., Vandemark, G.J., and McGee, R.J. UAV-based high-throughput phenotyping in legume crops. SPIE Conference (9866) on Autonomous air and ground sensing systems for agricultural optimization and phenotyping, Baltimore, MA, 17-21 April 2016.
  • 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. SPIE Conference (9866) on Autonomous air and ground sensing systems for agricultural optimization and phenotyping, Baltimore, MA, 17-21 April 2016.
  • Trapp, J., Mafimoghaddam, S., Nchimbi, S., Proch, T., Sankaran, S., Khot, L.R., McClean, P., and Miklas, P.* 2016. Durango diversity panel: abiotic and biotic stress characterization and potential for introducing new germplasm into East Africa. 2016 Joint Pan-African Grain Legume and World Cowpea Conference, Livingstone, Zambia, 28 February-4 March 2016 (Poster).
  • Sankaran, S.*, Zhou, J., and Khot, L.R. 2016. Remote sensing technologies for in-field specialty crop field phenotyping. Plant and Animal Genome Conference XXIV, San Diego, CA, 9-13 January 2016. [250 participants]
  • Sankaran, S.*, Carter, A.H., Kalcsits, L.A., Okamuro, J.K., Slaughter, D.C., Kirchhoff, H., and Poland, J. 2016. Challenges and opportunities in high-throughput field phenotyping. Plant and Animal Genome Conference XXIV, San Diego, CA, 9-13 January 2016 [250 participants].
  • Sexton, T.*, Sankaran, S., and Cousins, A.B. 2016. Screening for improved crop water use and carbon fixation. 25th Western Photosynthetic Conference, Tabernash, CO, 3-6 January 2016.
  • Jacoby, P.W.*, Peters, R.T., Sankaran, S., and Khot, L.R. 2015. Advancing water use efficiency in vineyards with subsurface micro-irrigation. Emerging Technologies for Sustainable Irrigation, Joint ASABE/ Irrigation Association Symposium Proceedings, Long Beach, CA, 10-12 November 2015.
  • Sathuvalli, V.*, Khot, L.R., and Sankaran, S. 2015. Applications of UAVs in potato breeding. Conference on advances in field-based high-throughput phenotyping and data management: Grains and specialty crops, Spokane, WA, 9-10 November 2015.
  • Sankaran, S.* 2015. Advanced sensing for high-throughput phenotyping in grains and specialty crops. Conference on Advances in field-based high-throughput phenotyping and data management: Grains and specialty crops, Spokane, WA, 9-10 November 2015.
  • Trapp, J.J.*, Moghaddam, S.M., McClean, P.E., Song, Q., Zhouφ, J., Khot, L.R., Sankaran, S., and Miklas, P.N. 2015. Characterizing traits related to drought tolerance within the durango race of common bean. 2015 Biennial Bean Improvement Cooperative (BIC) Meeting, Niagara Falls, Canada. 1-4 November 2015.
  • Sankaran, S.* 2015. Applied remote sensing systems in phytopathology. 48th Brazilian Congress of Phytopathology, São Pedro, SP, Brazil, 10-14 August 2015. [350-400 participants]
  • Zúñiga, C.E.*, Jarolmasjed, S.*, Khot, R.L., Knowles R., Pavek, M., and Sankaran, S. 2015. Evaluating abiotic stress in potato cultivars using proximal and remote sensing techniques. Paper No. 152191080, 2015 ASABE AIM, New Orleans, LA, 26-29 July 2015.
  • Zúñiga, C.E.*, Jarolmasjed, S., Sankaran, S., and Khot L.R. 2015. Calcium evaluation in healthy and bitter pit apples using Fourier transform infrared (FTIR) spectroscopic technique. Paper No. 152191056, 2015 ASABE AIM, New Orleans, LA, 26-29 July 2015.
  • Jarolmasjed, S.*, Zúñiga, C.E., Khot, L.R., and Sankaran, S. 2015. Visible-near infrared spectroscopy for bitter pit detection in apples. Paper No. 152190895, 2015 ASABE AIM, New Orleans, LA, 26-29 July 2015.
  • Zhou, J.*, Sankaran, S., Khot, L.R., Pumphrey, M.O., and Carter, A.H. 2015. Crop height estimation in wheat using proximal sensing techniques. Paper No. 2188566, 2015 ASABE AIM, New Orleans, LA, 26-29 July 2015.
  • Khot, L.R., Zhou, J.*, Sankaran, S., and Sathuvalli, V. 2015. Evaluation of viral infection in potatoes using proximal and remote sensing techniques. Paper No. 2246054, 2015 ASABE AIM, New Orleans, LA, 26-29 July 2015 (Poster).
  • Sankaran, S.*, Khot, L.R., Zhou, J., Trapp, J., and Miklas, P. 2015. Evaluating plant responses to water stress in dry bean genetic breeding populations using remote sensing technique. Paper No. 2190729, 2015 ASABE AIM, New Orleans, LA, 26-29 July 2015.
  • Sankaran, S.*, Panigrahi, S., and Garzynski, S. 2015. Odorant binding protein-based biosensor for volatile organic compounds detection in agriculture. Paper No. 2211853, 2015 ASABE AIM, New Orleans, LA, 26-29 July 2015.
  • Zhou, J.*, Ellsworth, P., Wang, M., Cousins, A.B., and Sankaran, S. 2015. Evaluation of water-use efficiency in Setaria italica using thermal imaging and visual-near infrared spectroscopy. Paper No. 94, Western American Society of Plant Biologists Section Meeting, Pullman, WA, 26-28 June 2015.
  • Khot, L.*, Sankaran, S., Cummings, T., Johnson, D., Carter, A., Serra, S., and Musacchi, S. 2014. Applications of unmanned aerial system in Washington State agriculture. 12th ICPA, Sacramento, CA, 20-23 July 2014.
  • Wang, M., Sankaran, S.*, Ellsworth, P., and Cousins, A.B. 2014. Rapid sensing for water stress detection in foxtail millet (Setaria italica). 12th ICPA, Sacramento, CA, 20-23 July 2014.
  • Sankaran, S.*, Khot, L.R., Carter, A.H., and Garland-Campbell, K. 2014. Unmanned aerial systems based imaging for field-based crop phenotyping: winter wheat emergence evaluation. 2014 ASABE AIM, Montreal, Quebec, Canada, Montreal, Quebec, Canada, 13-16 July 2014.
  • Sankaran, S.*, Pappu, H., and Brown, C. 2014. Computer tomography (CT) imaging for detecting anomalies in potato tubers. 2014 ASABE AIM, Montreal, Quebec, Canada, Montreal, Quebec, Canada, 13-16 July 2014.
  • Sankaran, S., Brown, C., Quick, R., Hamlin, L., and Pappu, H*. 2014. Magnetic resonance imaging for detecting viral infections in potato tubers. American Phytopathological Society-Canadian Phytopathological Society (APS-CPS) 2014 Annual Joint Meeting, Minneapolis, MN, 9-13 August 2014.
  • Sankaran, S.*, Khot, L.R., and Ehsani, R. 2013. Applications of an unmanned aerial system for field-based crop phenotyping. Donald Danforth Plant Science Center’s Fall Symposium on ‘PhenoDays: Imaging and Robotics for 21st Century Science’, Saint Louis, MO, 25-27 September 2013 (Poster).
  • *Presenter