{"id":45,"date":"2016-06-22T13:44:24","date_gmt":"2016-06-22T20:44:24","guid":{"rendered":"http:\/\/labs.wsu.edu\/sankaran-phenomics\/?page_id=45"},"modified":"2026-01-30T17:08:35","modified_gmt":"2026-01-31T01:08:35","slug":"refereed-publications","status":"publish","type":"page","link":"https:\/\/labs.wsu.edu\/sankaran-phenomics\/refereed-publications\/","title":{"rendered":"Complete List of Publications"},"content":{"rendered":"<br \/>\n<section id=\"builder-section-1466628223775\" class=\"row single gutter pad-top\">\n<div style=\"\" class=\"column one \">\n<header>\n<h2>Complete List of Refereed Publications<\/h2>\n<\/header>\n<p><a href=\"https:\/\/labs.wsu.edu\/sankaran-phenomics\/publications\/\">Back to Publications<\/a><\/p>\n<p><strong>2025<\/strong><\/p>\n<ul>\n<li>Umani, K., de Almeida Teixeira, G.H., Schroder, B.K., and <strong>Sankaran, S.<\/strong> Evaluation of spatial variability of volatile organic compounds in potato bulk storage facility using FAIMS. <em>Journal of Food Measurement and Characterization<\/em>, https:\/\/doi.org\/10.1007\/s11694-025-03819-0.<\/li>\n<li>Valencia-Ortiz, M., McGee, R.J, and <strong>Sankaran, S<\/strong>. 2025. Early detection of Aphanomyces root rot in pea plants using hyperspectral imaging. <em>Physiological and Molecular Plant Pathology<\/em>, 140, 102862, https:\/\/doi.org\/10.1016\/j.pmpp.2025.102862.<\/li>\n<li>Hoyos-Villegas, V., Jackson, M., Vargas-Cede\u00f1o, M., Farmer, E.E., Hanneman, M, Mazis, A., Singh, K.D., Sangjan, W., McNair, M., <strong>Sankaran, S.<\/strong>, Tirado Tolosa, S., Gore, M.A., and Rife, T.W. 2025. Affordable Phenomics: Expanding access to enhancing genetic gain in plant breeding. 8 (1), e70034, <em>The Plant Phenome Journal<\/em>, https:\/\/acsess.onlinelibrary.wiley.com\/doi\/10.1002\/ppj2.70034.<\/li>\n<li>Valencia-Ortiz, M., McGee, R.J, and <strong>Sankaran, S<\/strong>. Field asymmetric ion mobility spectrometry for early detection of Aphanomyces root rot in peas using volatile biomarkers. <em>Journal of Agricultural and Food Chemistry<\/em>, 73, 19, 12083\u201312092. 10.1021\/acs.jafc.4c12571. [ACS\u2019s Editor Choice Article]<\/li>\n<li>Umani, K., Daba, S., Piaskowski, J., McGee, R.J., Vandemark, G.J., and <strong>Sankaran, S<\/strong>. 2025. Evaluation of genotype x environment interaction using yield and UAV-based vegetation index data from multi-environment trials in chickpea. <em>Journal of Crop Improvement<\/em>, 39(3), 225\u2013250. https:\/\/doi.org\/10.1080\/15427528.2025.2489605.<\/li>\n<li>Valencia-Ortiz, M., McGee, R.J, Carter, A.H., and <strong>Sankaran, S<\/strong>. Variability in vegetation indices as a function of unmanned aerial vehicle flight altitudes and other factors during crop monitoring applications. <em>Agricultural Engineering International: CIGR Journal, <\/em>27 (2), 268-284. https:\/\/cigrjournal.org\/index.php\/Ejounral\/article\/view\/9393<\/li>\n<li>Upadhaya, S.G.C., Zhang, C., <strong>Sankaran, S.<\/strong>, Paulitz, T., and Wheeler, D.<strong>.<\/strong> Classification of <em>Verticillium dahliae <\/em>vegetative compatibility groups (VCGs) with machine learning and hyperspectral imagery. <em>Applied Microbiology,<\/em> 5(2), 41. https:\/\/doi.org\/10.3390\/applmicrobiol5020041.<\/li>\n<li>Marzougui, A., McConnel, C.S., Adams-Progar, A., Biggs, T.D., Ficklin, S., and <strong>Sankaran, S.<\/strong> Machine learning-derived cumulative health measure for assessing disease impact in dairy cattle. <em>Frontiers in Animal Science, <\/em>6:1532385. https:\/\/doi.org\/10.3389\/fanim.2025.1532385.<\/li>\n<li>Veloo, K., Z\u00fa\u00f1iga-Espinoza, C., Espinoza Salgado, A., Jacoby, P.W., and <strong>Sankaran, S<\/strong>. 2025. Multispectral, thermal, and hyperspectral sensing data depict stomatal conductance in grapevine. <em>Remote Sensing<\/em>, 17(1), 137. https:\/\/doi.org\/10.3390\/rs17010137.<\/li>\n<li>Valencia-Ortiz, M., McGee, R.J, and <strong>Sankaran, S<\/strong>. 2025. Optimization of field asymmetric ion mobility spectrometry-based assessment of Aphanomyces root rot in pea. <em>Crop Protection<\/em>, 187, 106982. https:\/\/doi.org\/10.1016\/j.cropro.2024.106982.<\/li>\n<\/ul>\n<p><strong>2024<\/strong><\/p>\n<ul>\n<li>Zhi, Q., Shah, D.H., Sablani, S.S., Ross, C.F., <strong>Sankaran, S., <\/strong>and Tang, J. 2024. Thermal inactivation kinetics of <em>Salmonella<\/em> and <em>Campylobacter i<\/em>n chicken livers. <em>Poultry Science<\/em>,103961.<\/li>\n<li>Veloo, K., Glenn, A.E., King, A.B., Smith, B.J., and Marleau, M.M, and <strong>Sankaran, S<\/strong>. Tuber Ruler: A mobile app for evaluating image-based potato tuber size.<em> Journal of Food Measurement and Characterization, <\/em>18, 4879-4888.<\/li>\n<li>Yu, X., Yin, D., Xu, H., Pinto Espinosa, F., Schmidhalter, U., Nie, C., Bai, Y., <strong>Sankaran, S<\/strong>., Ming, B., Cui, N. Wu, W., and Jin, X. 2024. Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV8. <em>Precision Agriculture<\/em>, 1-39.<\/li>\n<li>Sangjan, W., Carter, A.H., Pumphrey, M., Hagemeyer, K., Jitkov, V., and <strong>Sankaran, S<\/strong>. 2024. Effect of high-resolution satellite and UAV imagery plot pixel resolution in wheat crop yield prediction. <em>International Journal of Remote Sensin<\/em>g, 45(5), 1678-1698.<\/li>\n<li>Umani, K., Zhang, C., McGee, R.J., Vandemark, G. J., and <strong>Sankaran, S<\/strong>. 2024. A pulse crop dataset of agronomic traits and multispectral images from multiple environments. <em>Data-in-Brief<\/em>, 53, 110013. https:\/\/doi.org\/10.1016\/j.dib.2023.110013.<\/li>\n<\/ul>\n<p><strong>2023<\/strong><\/p>\n<ul>\n<li>Sangjan, W., McGee, R.J., and\u00a0<strong>Sankaran, S<\/strong>. Evaluation of forage quality in a pea breeding program using a hyperspectral sensing system.<em>\u00a0Computer and Electronics in Agriculture<\/em>, 212, 108052.<\/li>\n<li>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.,\u00a0<strong>Sankaran, S.<\/strong>, Singh, A., and Singh, A. Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding.\u00a0<em>Crop Science<\/em>, 63 (4), 1722-1749.<\/li>\n<li>Interdisciplinary Plant Science Consortium (Baxter, I). 2023. Inclusive collaboration across plant physiology and genomics: Now is the Time!\u00a0<em>Plant Direct<\/em>, 7 (5), e493. https:\/\/doi.org\/10.1002\/pld3.493.<\/li>\n<li>Raman, M.G., Marzougui, A., Teh, S.L., York, Z.B., Evans, K.M., and\u00a0<strong>Sankaran, S<\/strong>. 2023. Rapid assessment of architectural traits in pear rootstock breeding program. Remote Sensing, 15(6), 1483; https:\/\/doi.org\/10.3390\/rs15061483.<\/li>\n<li>Marzougui, A., McGee R.J., Van Vleet, S., and\u00a0<strong>Sankaran, S<\/strong>. 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.<\/li>\n<li>Tang, Z., Wang, M., Schirrmann, M., Dammer, K.H., Li, X., Brueggeman, R.,\u00a0<strong>Sankaran, S.<\/strong>, 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.<\/li>\n<li>Zhang, C., Serra, S., Quir\u00f3s-Vargas, J., Sangjan, W., Musacchi, S., and\u00a0<strong>Sankaran, S.<\/strong>\u00a02023. 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.<\/li>\n<li>Zhang, C., Chen, T., Chen, W., and\u00a0<strong>Sankaran, S.<\/strong>\u00a0Non-invasive evaluation of Ascochyta blight disease severity in chickpea using field-asymmetric ion mobility spectrometry and hyperspectral imaging techniques.\u00a0<em>Crop Protection<\/em>, 165, 106163.<\/li>\n<\/ul>\n<p><strong>2022<\/strong><\/p>\n<ul>\n<li>Zhang, C., Chen, T., Chen, W., and <strong>Sankaran, S.<\/strong> Non-invasive evaluation of Ascochyta blight disease severity in chickpea using field-asymmetric ion mobility spectrometry and hyperspectral imaging techniques. <em>Crop Protection<\/em>, 106163.<\/li>\n<li>Parhi, A., Zhang, C., Sonar, C. R., <strong>Sankaran, S<\/strong>., Rasco, B., Tang, J., and Sablani, S. 2022. Finding a carbohydrate gel-based oxygen indicator for expedited detection of defects in metal-oxide coated food packaging. <em>Food Packaging and Shelf Life<\/em>, 34, 100973.<\/li>\n<li>Divyanth, L.G., Marzougui, A., Gonzalez-Bernal, M.J., McGee, R.J., Rubiales, D., and <strong>Sankaran, S.<\/strong> Evaluation of effective class-balancing techniques for CNN-based assessment of Aphanomyces root rot resistance in pea (<em>Pisum sativum<\/em> L.). <em>Sensors<\/em>, 22(19), 7237; https:\/\/doi.org\/10.3390\/s22197237.<\/li>\n<li>Sangjan, W., Carpenter-Boggs, L., Hudson, T., and <strong>Sankaran, S.<\/strong> 2022. Pasture productivity assessment under mob grazing and fertility management using satellite and UAS imagery. <em>Drones<\/em>, 6(9), 232; https:\/\/doi.org\/10.3390\/drones6090232.<\/li>\n<li>Valencia-Ortiz, M., and <strong>Sankaran, S.<\/strong> 2022. Development of a semi-automated volatile organic compounds (VOCs) sampling system for field asymmetric ion mobility spectrometry (FAIMS) analysis. <em>HardwareX<\/em>, 12, e00344; https:\/\/doi.org\/10.1016\/j.ohx.2022.e00344.<\/li>\n<li>Valencia-Ortiz, M., Marzougui, A., Zhang, C., Bali, S., Odubiyi, S., Sathuvalli, S., Bosque-P\u00e9rez, N.A., Pumphrey, M.O., and <strong>Sankaran, S.<\/strong> 2022. Biogenic VOCs emission profiles associated with plant-pest interaction for phenotyping applications. <em>Sensors<\/em>, 22(13), 4870. https:\/\/doi.org\/10.3390\/s22134870.<\/li>\n<li>Raman, M.G., Carlos, E.F., and <strong>Sankaran, S.<\/strong> 2022. Optimization and evaluation of sensor angles for precise assessment of architectural traits in peach trees. <em>Sensors<\/em>, 22(12), 4619; https:\/\/doi.org\/10.3390\/s22124619.<\/li>\n<li>Sangjan, W., McGee, R.J., and <strong>Sankaran, S.<\/strong> 2022. Optimization of UAV-based imaging and image processing orthomosaic and point cloud approaches for estimating biomass in a forage crop. <em>Remote Sensing<\/em>, 14(10), 2396; https:\/\/doi.org\/10.3390\/rs14102396.<\/li>\n<li>Sandhu, K.S., Merrick, L.F., <strong>Sankaran, S<\/strong>., Zhang, Z., and Carter, A.H. 2022. Prospectus of genomic selection and phenomics in cereal, legume and oilseed breeding programs. <em>Frontiers in Genetics<\/em>, 12, https:\/\/doi.org\/10.3389\/fgene.2021.829131.<\/li>\n<li>Sangjan, W., Marzougui, A., Mattinson, D.S., Schroeder, B.K., Bates, A.A., Khot, L.R., and <strong>Sankaran, S.<\/strong> 2022. Identification of volatile biomarkers for high-throughput sensing of soft rot and Pythium leak diseases in stored potatoes. <em>Food Chemistry<\/em>, 370, 130910.<\/li>\n<li>Marzougui, A., Rajendran, A., Mattinson, D.S., Ma, Y., McGee, R.J., Garcia-Perez, M., Ficklin, S.P., and <strong>Sankaran, S. <\/strong>Evaluation of biogenic markers-based phenotyping for resistance to Aphanomyces root rot in field pea. <em>Information Processing in Agriculture<\/em>, 9 (1), 1-10, https:\/\/doi.org\/10.1016\/j.inpa.2021.01.007.<\/li>\n<li>Sinha, R., Quir\u00f3s-Vargas, J., <strong>Sankaran, S.<\/strong>, and Khot, L.R. 2022. High resolution aerial photogrammetry-based 3D mapping of fruit crop canopies for precision inputs management. <em>Information Processing in Agriculture<\/em>, 9 (1), 11-12, https:\/\/doi.org\/10.1016\/j.inpa.2021.01.006.<\/li>\n<\/ul>\n<p><strong>2021<\/strong><\/p>\n<ul>\n<li>Valencia-Ortiz, M., Sangjan, W., Selvaraj, M.O., McGee, R.J., and <strong>Sankaran, S.<\/strong> Effect of the solar zenith angles at different latitudes on estimated crop vegetation indices. <em>Drones<\/em>, 5 (3), 80, https:\/\/doi.org\/10.3390\/drones5030080.<\/li>\n<li>Sangjan, W., and <strong>Sankaran, S.<\/strong> Phenotyping architecture traits of tree species using remote sensing techniques. <em>Transactions of the ASABE<\/em>, 64(5): 1611-1624.<\/li>\n<li>Zhi, Q., Tang, J., Sablani, S.S., Ross, C.F., <strong>Sankaran, S., <\/strong>and Shah, D.H. Quality changes in chicken livers during cooking. <em>Poultry Science, <\/em>100 (9), 101316, https:\/\/doi.org\/10.1016\/j.psj.2021.101316.<\/li>\n<li>Kothawade, G.S., Chandel, A.K., Khot, L.R., <strong>Sankaran, S.,<\/strong> Bates, A., and Schroeder, B.K. 2021. Field asymmetric ion mobility spectrometry for pre-symptomatic rot detection in stored Ranger Russet and Russet Burbank potatoes. <em>Postharvest Biology and Technology<\/em>, 181, 111679, https:\/\/doi.org\/10.1016\/j.postharvbio.2021.111679.<\/li>\n<li>Sangjan, W., Carter, A.H., Pumphrey, M., Jitkov, V., and <strong>Sankaran, S<\/strong>. Development of a Raspberry Pi-based sensor system for automated in-field monitoring to support crop breeding <em>Inventions,<\/em> 6, 42, https:\/\/doi.org\/10.3390\/inventions6020042.<\/li>\n<li>Kholova, J., Urban, M.O., Cock, J., Arcos, J., Arnaud, E., Aytekin, D., Azevedo, V., Barnes, A.P., Ceccarelli, S., Chavarriaga, P., Cobb, J., Connor, D., Cooper, M., Craufurd, P., Debouck, D., Fungo, R., Grando, S., Hammer, G.L., Jara, C., Messina, C., Mosquera, G., Nchanji, E., Ng, E., Prager, S., <strong>Sankaran, S.<\/strong>, Selvaraj, M., Tardieu, F., Thornton, P., Valdes, S., van Etten, J., Wenzl, P., and Xu, Y. 2021. Together for the food-secure future: The crop improvement strategy for 2020\u2019s and beyond. <em>Journal of Experimental Botany<\/em>, 72 (14), 5158-5179, https:\/\/doi.org\/10.1093\/jxb\/erab226.<\/li>\n<li>Sexton, T., <strong>Sankaran, S.<\/strong>, and Cousins, A.B. 2021. Predicting photosynthetic capacity in tobacco (<em>Nicotiana tabacum<\/em>) using shortwave infrared spectral reflectance. <em>Journal of Experimental Botany, <\/em>72(12), 4373-4383.<\/li>\n<li>Zhang, C., Craine, W.A., McGee, R.J., Vandemark, G.J., Davis, J.B., Brown, J., Hulbert, S.H., and <strong>Sankaran, S<\/strong>. 2021. High-throughput phenotyping of plant height in cool-season crops using proximal and remote sensing techniques. <em>Agronomy Journal<\/em>, 113 (4), 3269-3280, https:\/\/doi.org\/10.1002\/agj2.20632.<\/li>\n<li><strong>Sankaran, S.<\/strong>, Marzougui, A., Hurst, J.P., Zhang, C., Schnable, J.C., and Shi, Y. 2021. Can high-resolution satellite multispectral imagery be used to phenotype canopy traits and yield potential in field conditions? <em>Transactions of the ASABE<\/em>, 64(3): 879-891.<\/li>\n<li>Zhang, C., McGee, R.J., Vandemark, G.J., and <strong>Sankaran, S<\/strong>. 2021. Crop performance evaluation of chickpea and dry pea breeding lines across seasons and locations using phenomics data. 2021. <em>Frontiers in Plant Science<\/em>, 12, 61.<\/li>\n<li>Zhi, Q., Tang, Z., Liu, F., Sablani, S.S., Ross, C.F., <strong>Sankaran, S.<\/strong>, and Tang, J. Quality of green beans (<em>Phaseolus vulgaris<\/em> L.) influenced by microwave and hot water pasteurization. <em>Food Control<\/em>, 124, 107936.<\/li>\n<\/ul>\n<p><strong>2020<\/strong><\/p>\n<ul>\n<li>Ma, Yu., Marzougui, A., Coyne, C.J., <strong>Sankaran, S.<\/strong>, Main, D., Porter, L.D., Mugabe, D., Smitchger, J.A., Zhang, C., Amin, M.D., Rasheed, N., Ficklin, S., and McGee, R.J. 2020. Dissecting the genetic architecture of Aphanomyces root rot resistance in lentil by QTL mapping and genome-wide association. International Journal of Molecular Sciences. <em>International Journal of Molecular Sciences<\/em>, 21 (6): 2129.<\/li>\n<li>Zhang, C., Craine, W.A., McGee, R.J., Vandemark, G.J., Davis, J.B., Brown, J., Hulbert, S.H., and <strong>Sankaran, S<\/strong>. 2020. Image-based phenotyping of flowering intensity in cool-season crops. <em>Sensors<\/em>, 20 (5): 1450.<\/li>\n<li>Kothawade, G.S., <strong>Sankaran, S<\/strong>., Bates, A., Schroeder, B.K., and Khot, L.R. 2020. Feasibility of volatile biomarker-based detection of Pythium leak in postharvest stored potato tubers using field asymmetric ion mobility spectrometry. <em>Sensors<\/em>, 20, 7350.<\/li>\n<li>Marzougui, A., Ma, Y., McGee, R.J., Khot, L., and <strong>Sankaran, S.<\/strong> Generalized linear model with elastic net regularization and convolutional neural network for evaluating Aphanomyces root rot severity in lentil. <em>Plant Phenomics<\/em>, 2020: 2393062, https:\/\/doi.org\/10.34133\/2020\/2393062.<\/li>\n<\/ul>\n<p><strong>2019<\/strong><\/p>\n<ul>\n<li><strong>Sankaran, S.<\/strong><sup>*<\/sup>, Quir\u00f3s, J.J.<sup>*<\/sup>, and Miklas, P. 2019. Unmanned aerial system and satellite-based high resolution imagery for high-throughput phenotyping in dry bean. <em>Computer and Electronics in Agriculture<\/em>, 165: 104965.<\/li>\n<li>Zhang, C., Chen, W., and <strong>Sankaran, S.<\/strong> 2019. High-throughput field phenotyping of Ascochyta blight disease severity in chickpea. <em>Crop Protection<\/em>, 125: 104885.<\/li>\n<li>Quir\u00f3s, J.J., McGee, R.J., Vandemark, G., Romanelli, T., and <strong>Sankaran, S.<\/strong> 2019. Field phenotyping using multispectral imaging in pea (<em>Pisum sativum<\/em> L) and chickpea (<em>Cicer arietinum<\/em> L). <em>Engineering in Agriculture, Environment and Food<\/em>, Accepted, July, 2019.<\/li>\n<li>Quir\u00f3s, J.J., Zhang, C., Smitchger, J., McGee, R.J., and <strong>Sankaran, S.<\/strong> 2019. Phenotyping of plant biomass and performance traits using remote sensing techniques in pea (<em>Pisum sativum<\/em>, L). <em>Sensors<\/em>, 19 (9): 2031.<\/li>\n<li>Chakraborty, M., Khot, L.R., <strong>Sankaran, S.<\/strong>, and Jacoby, P. 2019. Evaluation of mobile 3D light detection and ranging based canopy mapping system for tree fruit crops, <em>Computers and Electronics in Agriculture<\/em>, 158: 284-293.<\/li>\n<li>Zhang, C., Pumphrey, M., Zhou, J., Zhang, Q., and <strong>Sankaran, S.<\/strong> 2019. Development of automated high-throughput phenotyping system for wheat evaluation in controlled environment, <em>Transactions of the ASABE<\/em>, 62(1): 61-74.<\/li>\n<li><strong>Sankaran, S<\/strong>.<sup><span style=\"font-size: small\">*<\/span><\/sup>, Z\u00fa\u00f1iga, C.E.<sup>*<\/sup>, Hinojosa, L., Ma, X., and Murphy, K. 2019. High-throughput field phenotyping to assess irrigation treatment effects in quinoa. <em>Agrosystems, Geosciences &amp; Environment<\/em>, 2, 180063, doi:10.2134\/age2018.12.0063.<\/li>\n<li>Marzougui, A., Ma, Yu, Zhang, C., McGee, R.J., Coyne, C.J., Main, D., and <strong>Sankaran, S<\/strong>. 2019. Advanced imaging for quantitative evaluation of Aphanomyces root rot resistance in lentil.<em> Frontiers in Plant Science<\/em>, doi: 10.3389\/fpls.2019.00383.<\/li>\n<li>Jarolmasjed, S.<sup>*<\/sup>, <strong>Sankaran, S<\/strong>.<sup>*<\/sup>, Marzougui, A., Kostick, S., Si<sup>3<\/sup>, Y., Quir\u00f3s, J.J., and Evans, K. 2019. High-Throughput Phenotyping of fire blight disease symptoms using sensing techniques in apple. <em>Frontiers in Plant Science<\/em>, doi: 10.3389\/fpls.2019.00576.<\/li>\n<\/ul>\n<p><strong>2018<\/strong><\/p>\n<ul>\n<li>Z\u00fa\u00f1iga, C.E.<sup>*<\/sup>, Rathnayake, A.P.<sup>*<\/sup>, Chakraborty, M., Sankaran, S., Jacoby, P., and Khot, L.R. 2018. Applicability of time-of-flight-based ground and multispectral aerial imaging for grapevine canopy vigour monitoring under direct root-zone deficit irrigation.<em> International Journal of Remote Sensing<\/em>, 39 (23), 8818-8836.<\/li>\n<li><strong>Sankaran, S.,<\/strong> Zhou, J., Khot, L.R., Trapp, J.J., Mndolwa, E., and Miklas, P.N. 2018. High-throughput field phenotyping in dry bean using small unmanned aerial vehicle based multispectral imagery. <em>Computers and Electronics in Agriculture<\/em>, 151: 84-92.<\/li>\n<li>Zhang, C., Si, Y., Lamkey, J., Boydston, R.A., Garland-Campbell, K.A., and <strong>Sankaran, S.<\/strong> 2018. High-throughput phenotyping of seed\/seedling evaluation using digital image analysis. <em>Agronomy<\/em>, 8, DOI: <em>10.3390\/agronomy8050063<\/em>.<\/li>\n<li>Si, Y., <strong>Sankaran, S.<\/strong>, Knowles, N.R., and Pavek, M. J. 2018. Image-based automated potato tuber shape evaluation. <em>Journal of Food Measurement and Characterization<\/em>, 12 (2): 702-706.<\/li>\n<li>Jarolmasjed, S., <strong>Sankaran, S.<\/strong>, Kalcsits, L., and Khot, L.R. 2018. Proximal hyperspectral sensing of stomatal conductance to monitor the efficacy of exogenous abscisic acid applications in apple. <em>Crop Protection<\/em>, 109: 42-50.<\/li>\n<li>Sinha, R., Khot, L.R., Schroeder, B.K., and <strong>Sankaran, S.<\/strong> 2018. FAIMS based volatile fingerprinting for real-time postharvest storage infections detection in stored potatoes and onions. <em>Postharvest Biology and Technology<\/em>, 135: 83-92.<\/li>\n<\/ul>\n<p><strong>2017<\/strong><\/p>\n<ul>\n<li>Z\u00fa\u00f1iga, C.E., Khot, L.R., <strong>Sankaran, S.,<\/strong> and Jacoby, P. 2017. High resolution multispectral and thermal remote sensing-based water stress assessment in subsurface irrigated grapevines. Remote Sensing, 9 (9): 961, doi:10.3390\/rs9090961.<\/li>\n<li><strong>Sankaran, S., <\/strong>Quir\u00f3s, J.J., Knowles, N.R., and Knowles, L.O. 2017. High-resolution aerial imaging based estimation of crop emergence in potatoes. American Journal of Potato Research, 94: 658-663. DOI 10.1007\/s12230-017-9604-2. [Research featured in journal cover page]<\/li>\n<li>Z\u00fa\u00f1iga, C.E., Jarolmasjed, S., Sinha, R., Zhang, C., Kalcsits, L.S., Dhingra, A., and <strong>Sankaran, S.<\/strong> 2017. Spectrometric techniques for elemental profile analysis associated with bitter pit in apples. Postharvest Biology and Technology, 128: 121-129.<\/li>\n<li>Kalcsits, L., Musacchi, S., Layne, D., Schmidt, T., Mupambi, G., Serra, S., Mendoza, M., Asteggiano, L., Jarolmasjed\u00a7, S., <strong>Sankaran, S.,<\/strong> Khot, L.R., and Z\u00fa\u00f1iga\u00a7, C.E. 2017. Above and below-ground environmental changes associated with the use of photoselective protective netting to reduce sunburn in apple. Agricultural and Forest Meteorology, 237-238: 9-17.<\/li>\n<li>Jarolmasjed, S., Z\u00fa\u00f1iga, C.E., and <strong>Sankaran, S.<\/strong> 2017. Near infrared spectroscopy to predict bitter pit development in different varieties of apples. <em>Journal of Food Measurement and Characterization<\/em>, 11 (3): 987-993.<\/li>\n<li>Si, Y., <strong>Sankaran, S.<\/strong>, Knowles, N.R., and Pavek, M. 2017. <a href=\"https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/1041\/2018\/01\/PotatoSizing.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Automated potato tuber length-width ratio assessment using image analysis<\/a>. <em><span style=\"font-family: Lucida Sans\">American Journal of Potato Research<\/span><\/em>, 94 (1): 88-93.<\/li>\n<\/ul>\n<p><strong>2016<\/strong><\/p>\n<ul>\n<li>Wang, M., Ellsworth, P., Zhou, J., Cousins, A., and <strong>Sankaran, S.<\/strong> 2016. Evaluation of water-use efficiency in foxtail millet (<em>Setaria italica<\/em>) using visible-near infrared and thermal spectral sensing techniques. <em>Talanta<\/em>, 152: 531-539.<\/li>\n<li><strong>Sankaran, S., <\/strong>Wang, M., and Vandemark, G. 2016. Image-based rapid phenotyping method of chickpeas seed size. <em>Engineering in Agriculture, Environment and Food<\/em>, 9 (1): 50-55.<\/li>\n<li>Kafle, G.P., Khot, L.R., <strong>Sankaran, S.,<\/strong> Bahlol, H.Y., Tufariello, J.A., and Hill Jr. H.H. 2016. State of ion mobility spectrometry and applications in agriculture: A review. <em>Engineering in Agriculture, Environment and Food, <\/em>9 (4): 346-357.<\/li>\n<li>Khot, L.R., <strong>Sankaran, S.,<\/strong> Carter, A.H., Johnson, D.A., and Cummings, T.F. 2016. UAS imaging-based decision tools for arid winter wheat and irrigated potato production management, <em>International Journal of Remote Sensing<\/em>, 37 (1): 125-137.<\/li>\n<li>Trapp, J.J., Urrea, C.A., Miklas, P.N., Zhou, J., Khot, L. R., <strong>Sankaran, S<\/strong>., and Miklas, P.N. 2016. Selective phenotyping traits related to multiple stress and drought response in common bean, <em>Crop Science<\/em>, 56: 1-13.<\/li>\n<li>Jarolmasjed, S., Z\u00fa\u00f1iga Espinoza, C., <strong>Sankaran, S.,<\/strong> and Khot, L.R. 2016. Postharvest bitter pit detection and progression evaluation in &#8216;Honeycrisp&#8217; apples using computed tomography images, <em>Postharvest Biology and Technology<\/em>, 118: 35-42.<\/li>\n<li>Zhou, J., Pavek, M.J., Shelton, S.C., Holden, Z.J., and\u00a0<strong>Sankaran, S.<\/strong> 2016. Aerial multispectral imaging for crop hail damage assessment in potato. <em>Computer and Electronics in Agriculture<\/em>, 127: 406-412.<\/li>\n<li>Si, Y., and<strong> Sankaran, S<\/strong>. 2016. Computed tomography imaging-based bitter pit rating in apples. Biosystems Engineering, 51, 9-16.<\/li>\n<li>Zhang C., Gao, H., Zhou, J., Cousins, A., Pumphrey, M. O., and <strong>Sankaran, S.<\/strong> 2016. 3D robotic system development for high-throughput crop phenotyping. IFAC-<em>PapersOnLine<\/em>, 49 (16), 242-247.<\/li>\n<\/ul>\n<p><strong>2015<\/strong><\/p>\n<ul>\n<li><strong>Sankaran, S.,<\/strong> Khot, L.R., Z\u00fa\u00f1iga, C., Jarolmasjed, S., Sathuvalli, V., Vandemark, G., Miklas, P.N., Carter, A.H., Pumphrey, M.O., Knowles, N.R., and Pavek, M.J. 2015. Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A Review, European Journal of Agronomy, 70: 112-123.<\/li>\n<li><strong>Sankaran, S.,<\/strong> Ehsani, R., and Morgan, K. Detection of anomalies in citrus leaves using laser induced breakdown spectroscopy (LIBS). 2015. Applied Spectroscopy, 69 (8): 913-919.<\/li>\n<li><strong>Sankaran, S.,<\/strong> Khot, L.R., and Carter, A.H. 2015. Field-based crop phenotyping: multispectral aerial imaging for evaluation of winter wheat emergence and spring stand, <em>Computers and Electronics in Agriculture<\/em>, 118: 372-379.<\/li>\n<\/ul>\n<p><strong>2014<\/strong><\/p>\n<ul>\n<li>Liaghat, S., Mansor, S.B., Ehsani, R., Shaffri, H.Z.M., Meon, S., and <b>Sankaran, S.<\/b>\u00a0 Mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm. 2014. <em>Computers and Electronics in Agriculture<\/em>, 101, 48-54.<\/li>\n<li>Liaghat, S., Mansor, S.B., Ehsani, R., Shaffri, H.Z.M., Meon, S., <strong>Sankaran, S<\/strong>., and Azam, S.H.M.N.\u00a0 2014. Early detection of basal stem rot disease (Ganoderma) in oil palms based on hyperspectral reflectance data using pattern recognition algorithms. <em>International Journal of Remote Sensing<\/em>, 35 (10), 3427-3439.<\/li>\n<\/ul>\n<p><strong>2013<\/strong><\/p>\n<ul>\n<li><strong>Sankaran, S.,<\/strong> and Ehsani, R. 2013. Detection of Huanglongbing-infected citrus leaves using statistical models with a fluorescence sensor. <em>Applied Spectroscopy<\/em>, 67 (4), 463-469.<\/li>\n<li><strong>Sankaran, S.<\/strong>, Maja, J.M., Buchanon, S., Ehsani, R. 2013. Huanglongbing (citrus greening) detection using visible-near infrared and thermal imaging techniques<em>. Sensors<\/em>, 13: 2117-2130; DOI:<a href=\"http:\/\/dx.doi.org\/10.3390\/s130202117\">http:\/\/dx.doi.org\/10.3390\/s130202117<\/a>.<\/li>\n<li>Garcia-Ruiz, <strong>Sankaran, S.,<\/strong> Maja, J.M., Lee, W.S., Rasmussen, J., and Ehsani, R. 2013. Comparison of two aerial imaging platforms for identification of Huanglongbing infected citrus trees. <em>Computers and Electronics in Agriculture<\/em>, 91: 106-115.<\/li>\n<li>Wetterich, C.B., Kumar, R., <strong>Sankaran, S.<\/strong>, Belasque Jr., J., Ehsani, R., and Marcassa, L.G. 2013. A comparative study on application of computer vision and fluorescence imaging spectroscopy for detection of Huanglongbing citrus disease in USA and Brazil. <em>Journal of<\/em> <em>Spectroscopy<\/em>, 2013, Article ID 841738, DOI: <a href=\"http:\/\/dx.doi.org\/10.1155\/2013\/841738\">http:\/\/dx.doi.org\/10.1155\/2013\/841738<\/a>.<\/li>\n<li><b>Sankaran, S.<\/b>, and Ehsani, R. 2013. Comparison of visible-near infrared and mid-infrared spectroscopy for classification of Huanglongbing and citrus canker infected leaves.<em> Agricultural Engineering International: CIGR Journal<\/em>, 15 (3): 75-79.<\/li>\n<li>Johnson, K., <b>Sankaran, S.<\/b>, and Ehsani, R. 2013. Identification of water stress in citrus leaves using sensing technologies. <em>Agronomy<\/em>, 3 (4), 747-756.<\/li>\n<\/ul>\n<p><strong>2012<\/strong><\/p>\n<ul>\n<li><strong>Sankaran, S<\/strong>., Ehsani, R., Inch, S.A., and Ploetz, R.C. 2012. Evaluation of visible-near infrared reflectance spectra of avocado leaves as a non-destructive sensing tool for detection of laurel wilt. <em>Plant Disease<\/em>, 96 (11): 1683-1689.<\/li>\n<li><strong>Sankaran, S<\/strong>., and Ehsani, R. 2012.\u00a0 Detection of Huanglongbing disease in citrus using fluorescence spectroscopy. <em>Transactions of the ASABE<\/em>, 55 (1): 313-320.<\/li>\n<li>Saeed, O.M.B.,<strong> Sankaran, S<\/strong>., Shariff, A.R.M., Shariff, H.Z.M., Ehsani, R., Alfatni, M.S., and Hazir, M.H.M. 2012. Classification of oil palm fresh fruit bunches based on their maturity using portable four-band sensor system. <em>Computers and Electronics in Agriculture<\/em>, 82: 55-60.<\/li>\n<li><strong>Sankaran, S.,<\/strong> Khot, L.R., and Panigrahi, S. 2012. Biology and applications of olfactory sensing system: A review.<em> Sensors and Actuators B<\/em>, 171-172: 1-17.<\/li>\n<li>Panigrahi, S., <strong>Sankaran, S<\/strong>., Mallik, S., Gaddam, B., and Hanson, A. A. 2012. Olfactory receptor-based polypeptide sensor for acetic acid VOC detection.<em>Material Science and Engineering C, <\/em>32: 1307-1313.<\/li>\n<li>Khot, L.R., <strong>Sankaran, S.,<\/strong> Maja, J.M., and Ehsani, R. 2012. Applications of nanomaterials in agricultural production and crop protection: a review. <em>Crop Prot<\/em><em>ection, <\/em>35: 64-70.<\/li>\n<li><strong>Sankaran, S<\/strong>., and Panigrahi, S. 201<a id=\"_Toc234886084\" name=\"_Toc234886084\"><\/a>2. Investigation on ZnO-Fe2O3 based nanocomposite sensors for butanol detection related to food contamination.<em>Journal of Nanoscience and Nanotechnology, <\/em>12: 2346-2352.<\/li>\n<\/ul>\n<p><strong>2011<\/strong><\/p>\n<ul>\n<li><strong>Sankaran, S., <\/strong>and Panigrahi, S. 2011. Nanoparticulate zinc oxide chemoresistive sensor for volatile acetic acid detection. <em>Nanoscience and Nanotechnology Letters,<\/em> 3 (6): 755-762.<\/li>\n<li><strong>Sankaran, S<\/strong>., Panigr<a id=\"_Toc234886141\" name=\"_Toc234886141\"><\/a>ahi, S., and Mallik, S. 2011. Olfactory receptor based piezoelectric biosensors for detection of alcohols related to food safety applications. <em>Sensors and Actuators B<\/em>, 155 (1): 8-18.<\/li>\n<li><strong>Sankaran, S<\/strong>., Panigr<a id=\"_Toc235286621\" name=\"_Toc235286621\"><\/a><a id=\"_Toc234886103\" name=\"_Toc234886103\"><\/a>ahi, S., and Mallik, S. 2011. Odorant binding protein based biomimetic sensors for detection of alcohols associated with <em>Salmonella<\/em>contamination in packaged beef. <em>Biosensors and Bioelectronics<\/em>, 26 (7): 3103-3109.<\/li>\n<li><strong>Sankaran, S<\/strong>., and Ehsani, R. 2011. Visible-near infrared spectroscopy based citrus greening detection: Evaluation of spectral feature extraction techniques.<em>Crop Prot<\/em><em>ection, <\/em>30 (11): 1508-1513.<\/li>\n<li><strong>Sankaran, S<\/strong>., Mishra, A., Maja, J.M., and Ehsani, R. 2011. Visible-near infrared spectroscopy for detection of Huanglongbing in citrus orchards. <em>Computers and Electronics in Agriculture<\/em>, 77 (2): 127-134.<\/li>\n<\/ul>\n<p><strong>2010<\/strong><\/p>\n<ul>\n<li><strong>Sankaran, S<\/strong>., Mishra, A., Ehsani, R., and Davis, C. 2010. A review of advanced techniques for detecting plant diseases. <em>Computers and Electronics in Agriculture<\/em>, 72 (1): 1-13.<\/li>\n<li><strong>Sankaran, S<\/strong>., Ehsani, R., and Etxeberria, E. 2010. Mid-infrared spectroscopy for detection of Huanglongbing (greening) in citrus leaves. <em>Talanta, <\/em>83 (2): 574-581.<\/li>\n<li><strong>Sankaran, S.,<\/strong> Khanal, S.M., Jasti, N., Jin, B., Pometto, A.L., and Van Leeuwen, J. 2010. Use of filamentous fungi for wastewater treatment and production of high value fungal byproducts: a review. <em>Critical Reviews and Environmental Science and Technology<\/em>, 40 (5): 400-449.<\/li>\n<\/ul>\n<p><strong>2004-2008<\/strong><\/p>\n<ul>\n<li><strong>Sankaran, S.,<\/strong> Khanal, S.M., Pometto, A.L., and Van Leeuwen, J. 2008. Ozone as a selective disinfectant for nonaseptic fungal cultivation on corn-processing wastewater. <em>Bioresource Technology<\/em>, 99 (17): 8265-8272.<\/li>\n<li>Wichitsathian, B., <strong>Sankaran, S.<\/strong>, Visvanathan, C., and Ahn, K. H. 2004. Biokinetic parameters as an indicator to ammonia toxicity in leachate treatment using membrane reactor. <em>Asian Journal of Microbiology, Biotechnology and Environmental Science<\/em>, 6 (1): 1-6.<\/li>\n<li>Wichitsathian, B., <strong>Sankaran, S.<\/strong>, Visvanathan, C., and Ahn, K. H. 2004. Landfill leachate treatment by yeast and bacteria based membrane bioreactor. <em>Journal of Environmental Science and Health A<\/em>., 39 (9): 2391-2404.<\/li>\n<\/ul><\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p> <\/p>\n<h2>Complete List of Refereed Publications<\/h2>\n<p><a href=\"https:\/\/labs.wsu.edu\/sankaran-phenomics\/publications\/\">Back to Publications<\/a><\/p>\n<p><strong>2025<\/strong><\/p>\n<p>Umani, K., de Almeida Teixeira, G.H., Schroder, B.K., and <strong>Sankaran, S.<\/strong> Evaluation of spatial variability of volatile organic compounds in potato bulk storage facility using FAIMS. <em>Journal of Food Measurement and Characterization<\/em>, https:\/\/doi.org\/10.1007\/s11694-025-03819-0.<br \/> Valencia-Ortiz, M., McGee, R.J, and <strong>Sankaran, S<\/strong>. 2025. Early detection of Aphanomyces root rot in pea plants using hyperspectral imaging. <em>Physiological and Molecular Plant Pathology<\/em>, 140, 102862, https:\/\/doi.org\/10.1016\/j.pmpp.2025.102862.<br \/> Hoyos-Villegas, V., Jackson, M., Vargas-Cede\u00f1o, M., Farmer, E.E., Hanneman, M, Mazis, A., Singh, K.D., Sangjan, W., McNair, M., <strong>Sankaran, S.<\/strong>, Tirado Tolosa, S., Gore, M.A., and Rife, T.W. 2025. Affordable &#8230; <a href=\"https:\/\/labs.wsu.edu\/sankaran-phenomics\/refereed-publications\/\" class=\"more-link\"><span class=\"more-default\">&raquo; More &#8230;<\/span><\/a><\/p>\n","protected":false},"author":1351,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-builder.php","meta":[],"wsuwp_university_location":[],"wsuwp_university_org":[],"_links":{"self":[{"href":"https:\/\/labs.wsu.edu\/sankaran-phenomics\/wp-json\/wp\/v2\/pages\/45"}],"collection":[{"href":"https:\/\/labs.wsu.edu\/sankaran-phenomics\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.wsu.edu\/sankaran-phenomics\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.wsu.edu\/sankaran-phenomics\/wp-json\/wp\/v2\/users\/1351"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.wsu.edu\/sankaran-phenomics\/wp-json\/wp\/v2\/comments?post=45"}],"version-history":[{"count":19,"href":"https:\/\/labs.wsu.edu\/sankaran-phenomics\/wp-json\/wp\/v2\/pages\/45\/revisions"}],"predecessor-version":[{"id":1413,"href":"https:\/\/labs.wsu.edu\/sankaran-phenomics\/wp-json\/wp\/v2\/pages\/45\/revisions\/1413"}],"wp:attachment":[{"href":"https:\/\/labs.wsu.edu\/sankaran-phenomics\/wp-json\/wp\/v2\/media?parent=45"}],"wp:term":[{"taxonomy":"wsuwp_university_location","embeddable":true,"href":"https:\/\/labs.wsu.edu\/sankaran-phenomics\/wp-json\/wp\/v2\/wsuwp_university_location?post=45"},{"taxonomy":"wsuwp_university_org","embeddable":true,"href":"https:\/\/labs.wsu.edu\/sankaran-phenomics\/wp-json\/wp\/v2\/wsuwp_university_org?post=45"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}