{"id":36,"date":"2020-11-25T17:58:31","date_gmt":"2020-11-25T17:58:31","guid":{"rendered":"https:\/\/faculty.engineering.ucdavis.edu\/amoghimi-new\/?page_id=36"},"modified":"2021-07-21T17:53:23","modified_gmt":"2021-07-21T17:53:23","slug":"publications","status":"publish","type":"page","link":"https:\/\/faculty.engineering.ucdavis.edu\/amoghimi\/publications\/","title":{"rendered":"Selected Publications"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"36\" class=\"elementor elementor-36\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-56e4c78c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"56e4c78c\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c7f91e\" data-id=\"c7f91e\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7a7c64af elementor-widget elementor-widget-page-title\" data-id=\"7a7c64af\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"page-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\n\t\t<div class=\"hfe-page-title hfe-page-title-wrapper elementor-widget-heading\">\n\n\t\t\t\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\n\t\t\t\t\t\t\t\t\n\t\t\t\tSelected Publications  \n\t\t\t<\/h2 > \n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-35381b2f elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"35381b2f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-60db4c00 elementor-widget elementor-widget-text-editor\" data-id=\"60db4c00\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Visit\u00a0<a href=\"https:\/\/scholar.google.com\/citations?user=_8VHrfAAAAAJ&amp;hl=en%27\">Google Scholar<\/a>\u00a0for the most up-to-date list of publications<\/p><ul><li><strong>Moghimi, A.<\/strong>, Pourreza, A., Zuniga-Ramirez, G., Williams, L.E., &amp; Fidelibus, M.W. 2020. A Novel Machine Learning Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery.\u00a0<em>Remote Sensing<\/em>,\u00a0<em>12<\/em>, 3515.\u00a0<a href=\"https:\/\/doi.org\/10.3390\/rs12213515\">https:\/\/doi.org\/10.3390\/rs12213515<\/a><\/li><li>Pourreza, A.,\u00a0<strong>Moghimi, A.<\/strong>, Niederholzer, F.J.A., Larbi, P.A., Zuniga-Ramirez, G., Cheung, K.H., &amp; Khorsandi, F. 2020. Spray Backstop: A Method to Reduce Orchard Spray Drift Potential without Limiting the Spray and Air Delivery.\u00a0<em>Sustainability<\/em>,\u00a0<em>12<\/em>, 8862.\u00a0<a href=\"https:\/\/doi.org\/10.3390\/su12218862\">https:\/\/doi.org\/10.3390\/su12218862<\/a><\/li><li><strong>Moghimi, A.<\/strong>, Yang, C., &amp; Anderson, J.A. 2020. Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat.\u00a0<em>Computers and Electronics in Agriculture,\u00a0<\/em>172, 105299.\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.compag.2020.105299\">https:\/\/doi.org\/10.1016\/j.compag.2020.105299<\/a><\/li><li>Qiu, R., Yang, C.,\u00a0<strong>Moghimi, A.<\/strong>, Zhang, M., &amp; Steffenson, B. 2019. Detection of\u00a0<em>Fusarium<\/em>\u00a0head blight in wheat using a deep neural network and color imaging.\u00a0<em>Remote Sensing<\/em>.\u00a0<a href=\"https:\/\/www.mdpi.com\/2072-4292\/11\/22\/2658\">https:\/\/www.mdpi.com\/2072-4292\/11\/22\/2658<\/a><\/li><li><strong>Moghimi, A.<\/strong>, Yang, C., &amp; Marchetto, P. M. 2018. Ensemble Feature Selection for Plant Phenotyping: A Journey from Hyperspectral to Multispectral Imaging.\u00a0<em>IEEE Access,<\/em>\u00a06, 56870-56884.\u00a0<a href=\"https:\/\/doi.org\/10.1109\/ACCESS.2018.2872801\">https:\/\/doi.org\/10.1109\/ACCESS.2018.2872801<\/a><\/li><li><strong>Moghimi, A.<\/strong>, Yang, C., Miller, M. E., Kianian, S. F., &amp; Marchetto, P. M. 2018. A Novel Approach to Assess Salt Stress Tolerance in Wheat Using Hyperspectral Imaging.\u00a0<em>Frontiers in Plant Science,\u00a0<\/em>9, 1182.\u00a0<a href=\"https:\/\/doi.org\/10.3389\/fpls.2018.01182\">https:\/\/doi.org\/10.3389\/fpls.2018.01182<\/a><\/li><li><strong>Moghimi, A.,\u00a0<\/strong>Saiedirad, M.H., &amp; Ganji Moghadam, E. 2011. Interpretation of viscoelastic behaviour of sweet cherries (Prunus avium L.) using rheological models.\u00a0<em>International Journal of Food Science &amp; Technology,\u00a0<\/em>46, 855-861.\u00a0<a href=\"https:\/\/doi.org\/10.1111\/j.1365-2621.2011.02563.x\">https:\/\/doi.org\/10.1111\/j.1365-2621.2011.02563.x<\/a><\/li><li><strong>Moghimi, A<\/strong>., Aghkhani, M.H., Sazgarnia, A., &amp; Sarmad, M. 2010. Vis\/NIR spectroscopy and chemometrics for the prediction of soluble solids content and acidity (pH) of kiwifruit.\u00a0<em>Journal of Biosystems Engineering,\u00a0<\/em>106, 205-302.\u00a0<a href=\"https:\/\/doi.org\/10.1016\/j.biosystemseng.2010.04.002\">https:\/\/doi.org\/10.1016\/j.biosystemseng.2010.04.002<\/a><\/li><li><strong>Moghimi, A<\/strong>., Aghkhani, M.H., Sazgarnia, A., &amp; Abbaspour-Fard, M.H. 2009. Improvement of NIR transmission mode for internal quality assessment of fruit using different orientations.\u00a0<em>Journal of Food Process Engineering,\u00a0<\/em>34, 1759-1774<em>.\u00a0<\/em><a href=\"https:\/\/doi.org\/10.1111\/j.1745-4530.2009.00547.x\">https:\/\/doi.org\/10.1111\/j.1745-4530.2009.00547.x<\/a><br \/><br \/><\/li><\/ul><h3>Conference Processings<\/h3><ul><li><strong>Moghimi, A.<\/strong>, Pourreza, A., &amp; Zuniga-Ramirez, G. 2020. Radiometric calibration of airborne spectral data for plant phenotyping: a journey from raw images to reflectance images. Phenome Conference. Tucson, AZ.<\/li><li>Cheung, K., Pourreza, A.,\u00a0<strong>Moghimi, A.<\/strong>, &amp; Zuniga-Ramirez, G. 2020. Calibration of photogrammetry-based canopy profile mapping using dense, sUAS-based LiDAR data in almond orchards. SPIE Conference on Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping V. Anaheim, CA.<\/li><li><strong>Moghimi, A.<\/strong>, Pourreza, A., Cheung, K., Zuniga-Ramirez, G., Batista da Silva, B., Niederholzer, F., &amp; Larbi, P. 2019. Development of a low-maintenance system to reduce spray drift without limiting the spray and air delivery in almond orchards. Almond Board Conference. Sacramento, CA.<\/li><li>Cheung, K., Pourreza, A.,\u00a0<strong>Moghimi, A.<\/strong>, Zuniga-Ramirez, G., Lampinen, B., &amp; Shackel, K. 2019. Development of an unmanned aerial vehicle (UAV)-based canopy profile mapping technique to replace the mobile platform lightbar. Almond Board Conference. Sacramento, CA.<\/li><li>Pourreza, A.,\u00a0<strong>Moghimi, A.<\/strong>, Zuniga-Ramirez, G., Williams, L., &amp; Fidelibus, M. 2019. Estimating nitrogen status of table grapes through aerial multispectral imaging. Sustainable Agriculture &amp; Food Systems, Berlin, Germany.<\/li><li><strong>Moghimi, A.<\/strong>, Yang, C., Anderson, J.A., &amp; Reynolds, S.K. 2019. Deep autoencoder to reduce dimensionality of hyperspectral images collected by UAV flying over experimental plots. ASABE, Boston, MA.<\/li><li><strong>Moghimi, A.<\/strong>, Yang, C., Anderson, J.A., &amp; Reynolds, S.K. 2019. Selecting informative spectral bands using machine learning techniques to detect Fusarium head blight in wheat. ASABE, Boston, MA. (oral presentation.)\u00a0<a href=\"https:\/\/elibrary.asabe.org\/abstract.asp?aid=50476\">https:\/\/elibrary.asabe.org\/abstract.asp?aid=50476<\/a><\/li><li><strong>Moghimi, A.<\/strong>, Yang, C., Anderson, J.A., &amp; Reynolds, S.K. 2018. Aerial Imagery for Yield Prediction of Experimental Wheat Plots. ASABE, Detroit, MI.<\/li><li><strong>Moghimi, A.<\/strong>, Yang, C., Miller, M. E., &amp; Kianian, S. 2017. Hyperspectral imaging to identify salt-tolerant wheat lines. SPIE Conference on Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II, Anaheim, CA.\u00a0<a href=\"https:\/\/doi.org\/10.1117\/12.2262388\">https:\/\/doi.org\/10.1117\/12.2262388<\/a><\/li><li><strong>Moghimi, A.<\/strong>, Aghkhani, M.H., Golzarian, M.R., Rohani, A., &amp; Yang, C. 2015. A Robo-vision Algorithm for Automatic Harvesting of Green Bell Pepper. ASABE, New Orleans, LA.\u00a0<a href=\"https:\/\/elibrary.asabe.org\/abstract.asp?aid=46320\">https:\/\/elibrary.asabe.org\/abstract.asp?aid=46320<\/a><\/li><li><strong>Moghimi, A.<\/strong>, Aghkhani, M.H., &amp; Golzarian, M.R. 2014. Grippers\u2019 Design Factors Determined by Integration of Computer Vision System and Mechanical Tests. The 8th National congress on Biosystems Engineering and Mechanization, Mashhad, Iran.<\/li><li>Saiedirad, M.H., Zarif Neshat, S., &amp;\u00a0<strong>Moghimi, A.<\/strong>\u00a02011. Evaluation of Pomegranate Resistance against the Imposed Forces during Harvest. National Congress on Agricultural Loss, Tehran, Iran.<\/li><li>Zarif Neshat, S., Saiedirad, M.H., &amp;\u00a0<strong>Moghimi, A.<\/strong>\u00a02011. Effect of Harvest Time, Soil Moisture and Varieties on Mechanical Damage of Potato. National Congress on Agricultural Loss, Tehran, Iran.<\/li><li><strong>Moghimi, A.<\/strong>, &amp; Saiedirad, M.H. 2010. Viscoelastic Behavior of Cherries under Constant Strain. The 6th National congress on Agricultural Machinery Engineering and Mechanization, Tehran, Iran.<\/li><li><strong>Moghimi, A.<\/strong>, Aghkhani, M.H., Sazgarnia, A., &amp; Sarmad, M. 2008. Application of Near-infrared Spectroscopy in Determination of Internal Quality of Apple, Orange and Kiwifruit in a Nondestructive Way. The 18th National Congress on Food Technology, Mashhad, Iran.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Selected Publications Visit\u00a0Google Scholar\u00a0for the most up-to-date list of publications Moghimi, A., Pourreza, A., Zuniga-Ramirez, G., Williams, L.E., &amp; Fidelibus, M.W. 2020. A Novel Machine Learning Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery.\u00a0Remote Sensing,\u00a012, 3515.\u00a0https:\/\/doi.org\/10.3390\/rs12213515 Pourreza, A.,\u00a0Moghimi, A., Niederholzer, F.J.A., Larbi, P.A., Zuniga-Ramirez, G., Cheung, K.H., &amp; Khorsandi, F. 2020. Spray [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-36","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/faculty.engineering.ucdavis.edu\/amoghimi\/wp-json\/wp\/v2\/pages\/36","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.engineering.ucdavis.edu\/amoghimi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.engineering.ucdavis.edu\/amoghimi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.engineering.ucdavis.edu\/amoghimi\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.engineering.ucdavis.edu\/amoghimi\/wp-json\/wp\/v2\/comments?post=36"}],"version-history":[{"count":38,"href":"https:\/\/faculty.engineering.ucdavis.edu\/amoghimi\/wp-json\/wp\/v2\/pages\/36\/revisions"}],"predecessor-version":[{"id":1037,"href":"https:\/\/faculty.engineering.ucdavis.edu\/amoghimi\/wp-json\/wp\/v2\/pages\/36\/revisions\/1037"}],"wp:attachment":[{"href":"https:\/\/faculty.engineering.ucdavis.edu\/amoghimi\/wp-json\/wp\/v2\/media?parent=36"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}