{"id":7823,"date":"2022-10-06T09:57:48","date_gmt":"2022-10-06T09:57:48","guid":{"rendered":"https:\/\/www.eye-tech.it\/?p=7823"},"modified":"2024-01-18T13:25:07","modified_gmt":"2024-01-18T13:25:07","slug":"artificial-intelligence-in-support-of-agriculture-4-0","status":"publish","type":"post","link":"https:\/\/www.eye-tech.it\/en\/artificial-intelligence-in-support-of-agriculture-4-0\/","title":{"rendered":"Artificial Intelligence in support of Agriculture 4.0"},"content":{"rendered":"<p>For several years now, in <strong>modern agriculture<\/strong>, various <strong>innovative technologies<\/strong> have been used to <strong>automate work processes<\/strong> that were previously managed manually. <strong>Automatic steering tractors<\/strong>, <strong>intelligent seeding systems<\/strong>, and <strong>software for agronomic management<\/strong> are just examples of <strong>smart applications<\/strong> for <strong>sustainable and precision agriculture<\/strong>.<\/p>\n<p>Even <strong>artificial intelligence<\/strong>, particularly <strong>computer vision<\/strong>, plays a fundamental role in the concept of <strong>Agriculture 4.0<\/strong>. <strong>Analysis of aerial images<\/strong> acquired through <strong>drones<\/strong> is an excellent tool to understand various types of <strong>issues<\/strong>, allowing for <strong>rapid strategic interventions<\/strong> in the area with <strong>significant advantages<\/strong> in terms of both <strong>costs<\/strong> and <strong>environmental sustainability<\/strong>.<\/p>\n<p>For these types of analyses, various techniques and a multitude of video sensors can be used. The most commonly used video sensors are certainly <strong>multispectral cameras<\/strong>, used in agronomy for <strong>creating vigor maps<\/strong> and recognizing <strong>water stress<\/strong> or <strong>specific diseases<\/strong>.<\/p>\n<p>In detail, <strong>multispectral cameras<\/strong> are characterized by capturing images with a number of electromagnetic bands generally ranging from 3 to 10. The most common ones, color cameras, capture the three <strong>visible spectrum bands<\/strong> corresponding to the colors <strong>red<\/strong>, <strong>green<\/strong>, and <strong>blue<\/strong>, in addition to the <strong>near-infrared (NIR)<\/strong> band. The values \u200b\u200bcaptured are then evaluated using the <strong>NDVI (Normalized Difference Vegetation Index)<\/strong>, an excellent indicator to <strong>analyze the well-being of various crops<\/strong> such as vineyards or general farmland.<\/p>\n<p>As easily understood from the graph in the following figure, <strong>high reflectance in the near-infrared band<\/strong> indicates a <strong>healthier state of the crop<\/strong>, while combinations of different wavelengths allow <strong>identifying potential anomalies<\/strong> such as <strong>differences in growth<\/strong> or <strong>emerging issues within the plot<\/strong>.<\/p>\n<p style=\"text-align: center;\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2979 aligncenter\" src=\"https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/ndvi.jpeg\" alt=\"\" width=\"722\" height=\"542\" srcset=\"https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/ndvi.jpeg 800w, https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/ndvi-300x225.jpeg 300w, https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/ndvi-768x576.jpeg 768w\" sizes=\"auto, (max-width: 722px) 100vw, 722px\" \/><br \/>\nNDVI Index (image source: https:\/\/physicsopenlab.org\/)<\/p>\n<p>All these assessments also aim to generate <strong>prescription maps<\/strong> for <strong>variable-rate application of fertilizers<\/strong>, <strong>save agronomic inputs<\/strong> through <strong>variable and targeted use<\/strong> in the plot, and <strong>reduce environmental impact on the soil<\/strong>.<\/p>\n<p><a href=\"https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/rilevazione-drone-colture-sensore-mutlispettrale.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"541\" class=\"aligncenter size-large wp-image-2974\" src=\"https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/rilevazione-drone-colture-sensore-mutlispettrale-1024x541.png\" alt=\"\" srcset=\"https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/rilevazione-drone-colture-sensore-mutlispettrale-1024x541.png 1024w, https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/rilevazione-drone-colture-sensore-mutlispettrale-300x159.png 300w, https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/rilevazione-drone-colture-sensore-mutlispettrale-768x406.png 768w, https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/rilevazione-drone-colture-sensore-mutlispettrale-1536x812.png 1536w, https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/rilevazione-drone-colture-sensore-mutlispettrale-2048x1083.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><em>Example of aerial shots using a multispectral camera mounted on a drone<\/em><\/p>\n<p><a href=\"https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/agriobiettivo-e1664899058217.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2973 alignright\" src=\"https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/agriobiettivo-e1664899058217-1024x889.png\" alt=\"\" width=\"205\" height=\"178\" srcset=\"https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/agriobiettivo-e1664899058217-1024x889.png 1024w, https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/agriobiettivo-e1664899058217-300x260.png 300w, https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/agriobiettivo-e1664899058217-768x667.png 768w, https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/agriobiettivo-e1664899058217-1536x1333.png 1536w, https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/agriobiettivo-e1664899058217-2048x1777.png 2048w\" sizes=\"auto, (max-width: 205px) 100vw, 205px\" \/><\/a>In this context, <strong>Eye-Tech<\/strong>, in collaboration with <a href=\"https:\/\/www.agriobiettivo.it\/\">AgriObiettivo<\/a>, a company in Pordenone specializing in <strong>cultivation management and analysis<\/strong> through <strong>drone-based surveys<\/strong>, offers a <strong>consulting service<\/strong> in the <strong>automatic processing of images<\/strong> taken by drones, allowing, thanks to the use of artificial intelligence, <strong>evaluations of even very large areas<\/strong> where <strong>quick maintenance interventions<\/strong> are needed to <strong>address critical issues<\/strong> difficult to detect with simple manual checks.<\/p>\n<p><a href=\"https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/software-rilevazione-drone-colture-sensore-mutlispettrale.png\"><img loading=\"lazy\" decoding=\"async\" width=\"1009\" height=\"456\" class=\"aligncenter size-full wp-image-2976\" src=\"https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/software-rilevazione-drone-colture-sensore-mutlispettrale.png\" alt=\"\" srcset=\"https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/software-rilevazione-drone-colture-sensore-mutlispettrale.png 1009w, https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/software-rilevazione-drone-colture-sensore-mutlispettrale-300x136.png 300w, https:\/\/www.eye-tech.it\/wp-content\/uploads\/2022\/10\/software-rilevazione-drone-colture-sensore-mutlispettrale-768x347.png 768w\" sizes=\"auto, (max-width: 1009px) 100vw, 1009px\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><em>Use of artificial intelligence to identify issues in the analyzed area, such as gaps, water stress, etc.<\/em><\/p>\n<h3 style=\"text-align: center;\">If you are interested in these types of services, contact us now! Our staff can respond to all your requests without obligation.<\/h3>\n<p>Sources for images:<\/p>\n<ul>\n<li>https:\/\/www.dji.com\/it\/p4-multispectral<\/li>\n<li>https:\/\/physicsopenlab.org\/<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>For several years now, in modern agriculture, various innovative technologies have been used to automate work processes that were previously managed manually. Automatic steering tractors, intelligent seeding systems, and software for agronomic management are just examples of smart applications for sustainable and precision agriculture. Even artificial intelligence, particularly computer vision, plays a fundamental role in [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":7132,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[197,202,198],"tags":[],"class_list":["post-7823","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-controllo-qualita-en","category-news-en","category-prodotti-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Artificial Intelligence in support of Agriculture 4.0 - Eye-Tech srl ICC<\/title>\n<meta name=\"description\" content=\"Agriculture 4.0: drones and artificial intelligence for targeted interventions and improved environmental sustainability.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.eye-tech.it\/en\/artificial-intelligence-in-support-of-agriculture-4-0\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Artificial Intelligence in support of Agriculture 4.0 - 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