1.0Learning and NonLinear Modelshttps://sbia.org.br/lnlmsbicbrhttps://sbia.org.br/lnlm/author/sbicbr/rich600338<blockquote class="wp-embedded-content" data-secret="SeoJeWDZUX"><a href="https://sbia.org.br/lnlm/publicacoes/vol18-no2/vol18-no2-art3/">Methodology for Classifying Diseases in Plants Using Convolutional Neural Networks</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://sbia.org.br/lnlm/publicacoes/vol18-no2/vol18-no2-art3/embed/#?secret=SeoJeWDZUX" width="600" height="338" title="“Methodology for Classifying Diseases in Plants Using Convolutional Neural Networks” — Learning and NonLinear Models" data-secret="SeoJeWDZUX" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript"> /* <![CDATA[ */ /*! 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://sbia.org.br/lnlm/wp-includes/js/wp-embed.min.js /* ]]> */ </script> Michel Costa , Vanessa Rezende , Cledisson Martins & Adam Santos Abstract: Convolutional neural networks (CNNs) are one of the deep learning techniques that, due to the computational advance of the last few years, have leveraged the area of computer Read More ...https://sbia.org.br/lnlm/wp-content/uploads/sites/4/2020/09/orcid.jpg