{"id":20013,"date":"2025-10-14T10:16:03","date_gmt":"2025-10-14T08:16:03","guid":{"rendered":"https:\/\/immune.institute\/?post_type=proyecto&#038;p=20013"},"modified":"2025-10-14T10:16:04","modified_gmt":"2025-10-14T08:16:04","slug":"identificacion-botanica-con-machine-learning-en-el-jardin-botanico-de-quito","status":"publish","type":"proyectos","link":"https:\/\/immune.institute\/en\/proyectos\/identificacion-botanica-con-machine-learning-en-el-jardin-botanico-de-quito\/","title":{"rendered":"Botanical identification with Machine Learning at the Quito Botanical Gardens"},"content":{"rendered":"<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-f72ede8d wp-block-columns-is-layout-flex\" style=\"margin-top:0;margin-bottom:0\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Digitalisation arrives in green spaces: the Quito Botanical Garden (JBQ), one of Ecuador's main biodiversity landmarks, faces the challenge of modernising its educational and scientific outreach proposal. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In a global context where the Sustainable Development Goals prioritise conservation and environmental education, this project proposes applying Artificial Intelligence to bring botany closer to visitors, researchers, and citizens, improving the educational experience and fostering citizen science.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"card card-light wp-block-paragraph\"><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-accent-1-color\">Carried out by<\/mark><\/strong> <a href=\"https:\/\/www.linkedin.com\/in\/daniel-pacheco93\/\" target=\"_blank\" rel=\"noopener\">Daniel Mauricio Pacheco<\/a> | <a href=\"https:\/\/www.linkedin.com\/in\/cristina-armijos-334891211\/\" target=\"_blank\" rel=\"noopener\">Mar\u00eda Cristina Armijos<\/a> <\/p>\n\n\n\n<p class=\"card card-light wp-block-paragraph\"><strong>Qualification<\/strong> <a href=\"https:\/\/immune.institute\/en\/programas\/maestria-data-science-business-analytics\/\">Master's in Data Science &amp; Business Analytics<\/a><\/p>\n\n\n\n<p class=\"card card-light wp-block-paragraph\"><strong>Technologies<\/strong> Python | TensorFlow | OpenCV | Pandas | NumPy | Flutter<\/p>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">What is the motivation?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">This project arises from the desire to harness artificial intelligence as a tool to bring botany closer to the public, promote environmental education, and strengthen biodiversity conservation. <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Develop a Machine Learning algorithm<\/strong> for accurate plant identification from images.<\/li>\n\n\n\n<li><strong>Integrate the algorithm into an interactive mobile application<\/strong> for visitors and the scientific community.<\/li>\n\n\n\n<li><strong>Modernise and enrich the experience<\/strong><em> <\/em>educational and tourist in the JBQ.<\/li>\n\n\n\n<li><strong>Create a technological foundation <\/strong>which allows for the collection and analysis of user data to design future business strategies.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\" style=\"margin-top:var(--wp--preset--spacing--50);margin-bottom:var(--wp--preset--spacing--50)\">\n<h2 class=\"wp-block-heading\">Development <\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The research was carried out over 12 months by means of a<strong> Analytical observational study <\/strong>which combined a literature review, on-site and off-site data collection of species from the JBQ, and taxonomic analysis. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With these bases, a <strong>Image recognition algorithm <\/strong>Optimised with Machine Learning techniques to accurately classify plant species. The model has been implemented in a mobile application with open access, designed to support both environmental education and the Garden's strategic management.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img decoding=\"async\" src=\"https:\/\/immune.institute\/wp-content\/uploads\/Captura-de-pantalla-2025-09-22-161038.png\" alt=\"\" class=\"wp-image-20014\" style=\"width:832px;height:auto\"\/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-group is-layout-constrained wp-block-group-is-layout-constrained\" style=\"margin-top:var(--wp--preset--spacing--50);margin-bottom:var(--wp--preset--spacing--50)\">\n<p class=\"wp-block-paragraph\"><strong>This project demonstrates how artificial intelligence can become a key ally for conservation, environmental education, and innovation in unique biodiversity spaces like the Quito Botanical Garden.<\/strong><\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>A Machine Learning algorithm that identifies plant species from images, optimised for a citizen science mobile app at the Quito Botanical Garden (Ecuador). <\/p>","protected":false},"featured_media":20016,"menu_order":0,"template":"","area":[241],"class_list":["post-20013","proyectos","type-proyectos","status-publish","has-post-thumbnail","hentry","area-data-science"],"acf":[],"_links":{"self":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/proyectos\/20013","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/proyectos"}],"about":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/types\/proyectos"}],"version-history":[{"count":0,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/proyectos\/20013\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/media\/20016"}],"wp:attachment":[{"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/media?parent=20013"}],"wp:term":[{"taxonomy":"area","embeddable":true,"href":"https:\/\/immune.institute\/en\/wp-json\/wp\/v2\/area?post=20013"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}