1.0AINIAhttps://ainia.endesarrollo.pro/en/adminhttps://ainia.endesarrollo.pro/en/author/admin_audax/rich600338<blockquote class="wp-embedded-content" data-secret="xF1gO1bSeW"><a href="https://ainia.endesarrollo.pro/en/success-stories/predimic/">PREDIMIC</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://ainia.endesarrollo.pro/en/success-stories/predimic/embed/#?secret=xF1gO1bSeW" width="600" height="338" title="“PREDIMIC” — AINIA" data-secret="xF1gO1bSeW" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !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); //# sourceURL=https://ainia.endesarrollo.pro/wp-includes/js/wp-embed.min.js </script> Collaborative research project supported by CDTI for the predictive control of microbiological contamination risks in food production, based on machine learning techniques. VERDIFRESH, GRUPO ENTREPINARES and SAN DALMAI are involved in this project.