{"version":"1.0","provider_name":"SpectroFood","provider_url":"https:\/\/www.spectrofood.eu","author_name":"alexanderfourn@gmail.com","author_url":"https:\/\/www.spectrofood.eu\/index.php\/author\/alexanderfourngmail-com\/","title":"Data Processing Module - SpectroFood","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"IpWKwdB5hZ\"><a href=\"https:\/\/www.spectrofood.eu\/index.php\/data-processing-module\/\">Data Processing Module<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.spectrofood.eu\/index.php\/data-processing-module\/embed\/#?secret=IpWKwdB5hZ\" width=\"600\" height=\"338\" title=\"&#8220;Data Processing Module&#8221; &#8212; SpectroFood\" data-secret=\"IpWKwdB5hZ\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/www.spectrofood.eu\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Data Processing Module Framework for processing units based on AI algorithms for integration and mining of spectral data. Spectral Image Correction Before using the images to train the respective models, they should be corrected for the instrument\u2019s spectral response and the camera\u2019s dark. On many occasions, this process is performed automatically from the data acquisition [&hellip;]","thumbnail_url":"https:\/\/www.spectrofood.eu\/wp-content\/uploads\/2023\/10\/fasdfafd-1.png"}