{"id":1720,"date":"2025-10-02T19:00:27","date_gmt":"2025-10-02T19:00:27","guid":{"rendered":"https:\/\/apsslab.abe.msstate.edu\/?page_id=1720"},"modified":"2025-10-24T13:57:22","modified_gmt":"2025-10-24T13:57:22","slug":"publications","status":"publish","type":"page","link":"https:\/\/apsslab.abe.msstate.edu\/index.php\/publications\/","title":{"rendered":"PUBLICATIONS"},"content":{"rendered":"<div id=\"pl-gb1720-69d4d2d0c0bed\"  class=\"panel-layout\" ><div id=\"pg-gb1720-69d4d2d0c0bed-0\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-gb1720-69d4d2d0c0bed-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-gb1720-69d4d2d0c0bed-0-0-0\" class=\"so-panel widget widget_sow-headline panel-first-child\" data-index=\"0\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-headline so-widget-sow-headline-default-508968b69ea9-1720\"\n\t\t\t\n\t\t><div class=\"sow-headline-container \">\n\t\t\t\t\t\t\t<h2 class=\"sow-headline\">\n\t\t\t\t\t\tJournal Articles\t\t\t\t\t\t<\/h2>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"decoration\">\n\t\t\t\t\t\t<div class=\"decoration-inside\"><\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n<\/div><\/div><div id=\"panel-gb1720-69d4d2d0c0bed-0-0-1\" class=\"so-panel widget widget_sow-editor panel-last-child\" data-index=\"1\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-editor so-widget-sow-editor-base\"\n\t\t\t\n\t\t>\n<div class=\"siteorigin-widget-tinymce textwidget\">\n\t<ul>\n<li><span style=\"color: #000000;\">Gamagedara, Y., Wijewardane, N.K., Feng, G., Seybold, S., Williams, M., Tagert, M.L., Martins, V.S. (2024). <span style=\"color: #800000;\">Can we use a mid-infrared fine-ground soil spectral library to predict non-fine-ground spectra?<\/span>, Geoderma, 443, 116799, ISSN 0016-7061, <a href=\"https:\/\/doi.org\/10.1016\/j.geoderma.2024.116799\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.geoderma.2024.116799<\/a><\/span><\/li>\n<li><span style=\"color: #000000;\">Silva, F.H.C.A., Wijewardane, N.K., Bheemanahalli, R., Reddy, K.R., Zhang, X., Vennam, R.R. (2023). <span style=\"color: #800000;\">Comparison of UV, visible and near-infrared, and mid-infrared spectrometers to estimate maize and sorghum leaf nutrients using dry-intact and ground leaves<\/span>, Computers and Electronics in Agriculture, Volume 211, 108001, ISSN 0168-1699, <a href=\"https:\/\/doi.org\/10.1016\/j.compag.2023.108001\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.compag.2023.108001<\/a><\/span><\/li>\n<li><span style=\"color: #000000;\">Whatley, C. R., Wijewardane, N. K., Bheemanahalli, R., Reddy, K. R., &amp; Lu, Y. (2023). <span style=\"color: #800000;\">Effects of fine grinding on mid-infrared spectroscopic analysis of plant leaf nutrient content<\/span>. Scientific Reports, 13(1), 6314. <a href=\"https:\/\/doi.org\/10.1038\/s41598-023-33558-5\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1038\/s41598-023-33558-5<\/a><\/span><\/li>\n<li><span style=\"color: #000000;\">Wijewardane, N. K., Zhang, H., Yang, J., Schnable, J. C., Schachtman, D. P., &amp; Ge, Y. (2023).<span style=\"color: #800000;\"> A leaf-level spectral library to support high throughput plant phenotyping: Predictive accuracy and model transfer.<\/span> Journal of Experimental Botany, erad129. <a href=\"https:\/\/doi.org\/10.1093\/jxb\/erad129\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1093\/jxb\/erad129<\/a><\/span><\/li>\n<li>Silva, F. H. C. A., Wijewardane, N. K., Cox, M. S., &amp; Zhang, X. (2025). <span style=\"color: #800000;\">Assessment of different VisNIR and MIR spectroscopic techniques and the potential of calibration transfer between MIR laboratory and portable instruments to estimate soil properties.<\/span> Soil and Tillage Research, 251, 106555. <a class=\"decorated-link\" href=\"https:\/\/doi.org\/10.1016\/j.still.2025.106555\" target=\"_new\" rel=\"noopener\" data-start=\"420\" data-end=\"463\">https:\/\/doi.org\/10.1016\/j.still.2025.106555<\/a><\/li>\n<li>Yang, Y., Wijewardane, N. K., Harvey, L., &amp; others. (2025). <span style=\"color: #800000;\">Sweetpotato moisture content and textural property estimation using hyperspectral imaging and machine learning. <\/span>Food Measurement and Characterization, 19, 2700\u20132716. <a class=\"decorated-link\" href=\"https:\/\/doi.org\/10.1007\/s11694-025-03140-w\" target=\"_new\" rel=\"noopener\" data-start=\"353\" data-end=\"395\">https:\/\/doi.org\/10.1007\/s11694-025-03140-w<\/a><\/li>\n<li>Yadav, S. A., Wijewardane, N. K., Zhang, X., &amp; others. (2025). <span style=\"color: #800000;\">Context-aware deep learning model for yield prediction in potato using time-series UAS multispectral data. <\/span>IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 6096\u20136115. <a class=\"decorated-link cursor-pointer\" target=\"_new\" rel=\"noopener\" data-start=\"382\" data-end=\"425\">https:\/\/doi.org\/10.1109\/JSTARS.2025.3539217<\/a><\/li>\n<li>Yang, Y., Wijewardane, N. K., Slonecki, T. J., Wadl, P. A., Andreason, S. A., Chen, J., &amp; Harvey, L. (2025). <span style=\"color: #800000;\">Nondestructive detection of sweet potato leaf curl virus using 3D laser imaging combined with deep learning.<\/span> Smart Agricultural Technology, 11, 101004. <a class=\"decorated-link\" href=\"https:\/\/doi.org\/10.1016\/j.atech.2025.101004\" target=\"_new\" rel=\"noopener\" data-start=\"372\" data-end=\"415\">https:\/\/doi.org\/10.1016\/j.atech.2025.101004<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div><\/div><\/div><\/div><div id=\"pg-gb1720-69d4d2d0c0bed-1\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-gb1720-69d4d2d0c0bed-1-0\"  class=\"panel-grid-cell\" ><div id=\"panel-gb1720-69d4d2d0c0bed-1-0-0\" class=\"so-panel widget widget_sow-headline panel-first-child\" data-index=\"2\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-headline so-widget-sow-headline-default-508968b69ea9-1720\"\n\t\t\t\n\t\t><div class=\"sow-headline-container \">\n\t\t\t\t\t\t\t<h2 class=\"sow-headline\">\n\t\t\t\t\t\tConference presentations\t\t\t\t\t\t<\/h2>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"decoration\">\n\t\t\t\t\t\t<div class=\"decoration-inside\"><\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n<\/div><\/div><div id=\"panel-gb1720-69d4d2d0c0bed-1-0-1\" class=\"so-panel widget widget_sow-editor panel-last-child\" data-index=\"3\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-editor so-widget-sow-editor-base\"\n\t\t\t\n\t\t>\n<div class=\"siteorigin-widget-tinymce textwidget\">\n\t<ul>\n<li>Yadav, S. A., Wijewardane, N. K., Zhang, X., &amp; McCraine, D. (2025, May). <span style=\"color: #800000;\">Radiometric and modified RossThick-LiSparse BRDF correction for low-altitude UAV data at varying solar-sensor geometries for time-series analysis.<\/span> In Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping X (Proc. SPIE 13475, 1347502). SPIE. <a class=\"decorated-link\" href=\"https:\/\/doi.org\/10.1117\/12.3053465\" target=\"_new\" rel=\"noopener\" data-start=\"448\" data-end=\"482\">https:\/\/doi.org\/10.1117\/12.3053465<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Gamagedara, Y., Wijewardane, N.K., Feng, G., Seybold, S., Williams, M., Tagert, M.L., Martins, V.S. (2024). Can we use a mid-infrared fine-ground soil spectral library to predict non-fine-ground spectra?, Geoderma, 443, 116799, ISSN 0016-7061, https:\/\/doi.org\/10.1016\/j.geoderma.2024.116799 Silva, F.H.C.A., Wijewardane, N.K., Bheemanahalli, R., Reddy, K.R., Zhang, X., Vennam, R.R. (2023). Comparison of UV, visible and near-infrared, and mid-infrared&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1720","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/apsslab.abe.msstate.edu\/index.php\/wp-json\/wp\/v2\/pages\/1720","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/apsslab.abe.msstate.edu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/apsslab.abe.msstate.edu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/apsslab.abe.msstate.edu\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/apsslab.abe.msstate.edu\/index.php\/wp-json\/wp\/v2\/comments?post=1720"}],"version-history":[{"count":11,"href":"https:\/\/apsslab.abe.msstate.edu\/index.php\/wp-json\/wp\/v2\/pages\/1720\/revisions"}],"predecessor-version":[{"id":1791,"href":"https:\/\/apsslab.abe.msstate.edu\/index.php\/wp-json\/wp\/v2\/pages\/1720\/revisions\/1791"}],"wp:attachment":[{"href":"https:\/\/apsslab.abe.msstate.edu\/index.php\/wp-json\/wp\/v2\/media?parent=1720"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}