{"id":34019,"date":"2024-06-12T11:07:07","date_gmt":"2024-06-12T09:07:07","guid":{"rendered":"https:\/\/resoilfoundation.org\/articles\/modello-previsionale-test-del-suolo\/"},"modified":"2024-06-17T16:34:35","modified_gmt":"2024-06-17T14:34:35","slug":"predictive-model-soil-test","status":"publish","type":"post","link":"https:\/\/resoilfoundation.org\/en\/innovation-technology\/predictive-model-soil-test\/","title":{"rendered":"In the USA, a predictive model shortens soil test timing"},"content":{"rendered":"<h2>Researchers at the University of Arkansas have developed a predictive model of soil structure and organic matter content that halves the overall testing time<\/h2>\n<p style=\"text-align: center;\">by Matteo Cavallito<\/p>\n<p><strong>Soil<\/strong> tests are <a href=\"https:\/\/resoilfoundation.org\/en\/articles\/fertilizer-price-test-soil\/\" target=\"_blank\" rel=\"noopener\">notoriously important<\/a> in directing strategic choices in cultivation. Carrying them out, however, can be time-consuming and complicated and therefore incompatible with farmers&#8217; needs. So how can we solve this problem? One possible answer came recently from the Agricultural Experiment Station at the <strong>University of Arkansas<\/strong> in the United States.<\/p>\n<p>Here, a team of researchers led by <strong>Gerson Drescher<\/strong>, professor of soil fertility at the same institute, has developed a new forecasting model capable, the authors note, of adding crucial information about the soil.<\/p>\n<div class='avia-iframe-wrap'>\n<blockquote class=\"wp-embedded-content\" data-secret=\"LvPtt6LH28\"><p><a href=\"https:\/\/resoilfoundation.org\/en\/articles\/yield-agriculture-soil-health\/\">Crop yield history reveals details of soil health<\/a><\/p><\/blockquote>\n<p><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;Crop yield history reveals details of soil health&#8221; &#8212; Re Soil Foundation\" src=\"https:\/\/resoilfoundation.org\/en\/articles\/yield-agriculture-soil-health\/embed\/#?secret=ikXVdIpgiN#?secret=LvPtt6LH28\" data-secret=\"LvPtt6LH28\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/div>\n<h5>Soil analyses<\/h5>\n<p>&#8220;Standard soil testing evaluates <strong>plant-available nutrient<\/strong> content and soil pH,&#8221; explains an <a href=\"https:\/\/aaes.uada.edu\/news\/soil-texture-prediction-model\/\" target=\"_blank\" rel=\"noopener\">article<\/a> published by the University of Arkansas. &#8220;However, these properties are also affected by soil <strong>texture<\/strong> and organic matter in the soil, which require additional expensive and time-consuming tests.&#8221; Drescher&#8217;s idea is therefore to evaluate these indicators by replacing traditional tests with <strong>a new prediction model<\/strong> developed from the results of standard tests already used in sample analysis.<\/p>\n<blockquote><p>The prediction model, in this way, would be able <strong>to halve the time required<\/strong> for the overall\u00a0 analysis.<\/p><\/blockquote>\n<p>The test for organic matter is determined by a method known as &#8220;loss on ignition&#8221;, which requires weighing the samples, subjecting them to high temperatures to burn off the <strong>organic matter<\/strong>, and weighing them again to calculate the change.\u00a0 Particle size, on the other hand, is measured with a device called a hydrometer, which determines the size of soil particles.<\/p>\n<div class='avia-iframe-wrap'>\n<blockquote class=\"wp-embedded-content\" data-secret=\"Z91E6f5dNE\"><p><a href=\"https:\/\/resoilfoundation.org\/en\/articles\/artificial-intelligence-evapotranspiration\/\">Artificial intelligence accurately measures soil evapotranspiration<\/a><\/p><\/blockquote>\n<p><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;Artificial intelligence accurately measures soil evapotranspiration&#8221; &#8212; Re Soil Foundation\" src=\"https:\/\/resoilfoundation.org\/en\/articles\/artificial-intelligence-evapotranspiration\/embed\/#?secret=cr624HWB1P#?secret=Z91E6f5dNE\" data-secret=\"Z91E6f5dNE\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/div>\n<h5>The study<\/h5>\n<p>To adjust and validate the prediction models, Drescher used nutrient and pH data from samples sent to the <strong>University of Arkansas laboratory<\/strong>. &#8220;Two datasets were used to calibrate clay and sand and soil organic matter prediction models using simple and multiple regression,&#8221; the <a href=\"https:\/\/acsess.onlinelibrary.wiley.com\/doi\/10.1002\/agg2.20461\" target=\"_blank\" rel=\"noopener\">study<\/a> states.<\/p>\n<blockquote><p>In particular, \u201c<strong>Clay and sand<\/strong> prediction models presented comparable accuracy when validated on a new dataset.&#8221;<\/p><\/blockquote>\n<p>In general, the sand and clay analyses proved accurate for <strong>medium- and fine-grained soils<\/strong>. But they showed limited capability for those characterised by a coarse structure. Over time, the researchers explained, the models can be improved with new samples for later use elsewhere in areas with similar soils.<\/p>\n<div class='avia-iframe-wrap'>\n<blockquote class=\"wp-embedded-content\" data-secret=\"KbVCfD8IdI\"><p><a href=\"https:\/\/resoilfoundation.org\/en\/articles\/confirmation-from-the-us-that-composting-helps-soil-and-the-climate\/\">Confirmation from the US that composting helps soil and the climate<\/a><\/p><\/blockquote>\n<p><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;Confirmation from the US that composting helps soil and the climate&#8221; &#8212; Re Soil Foundation\" src=\"https:\/\/resoilfoundation.org\/en\/articles\/confirmation-from-the-us-that-composting-helps-soil-and-the-climate\/embed\/#?secret=U8seCosME2#?secret=KbVCfD8IdI\" data-secret=\"KbVCfD8IdI\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/div>\n<h5>The crucial importance of testing<\/h5>\n<p>Focus on testing increased significantly at the beginning of the decade when <strong>the price of fertilisers<\/strong> experienced a <a href=\"https:\/\/blogs.worldbank.org\/en\/opendata\/soaring-fertilizer-prices-add-inflationary-pressures-and-food-security-concerns\" target=\"_blank\" rel=\"noopener\">sharp rise<\/a>. The need to limit their use implicitly highlighted the importance of gathering key information through testing. So as to plan a<strong> more rational<\/strong> and widespread use of inputs.<\/p>\n<p>In land surveys, pH data, in particular, is a crucial indicator because the level of<strong>\u00a0acidity<\/strong> is a critical factor in nutrient availability. A correct assessment of acidity therefore makes fertility promotion strategies more efficient.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Researchers at the University of Arkansas have developed a predictive model of soil structure and organic matter content that halves the overall testing time<\/p>\n","protected":false},"author":4,"featured_media":34022,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[152,134],"tags":[190,239,247,237,188,186,163],"class_list":["post-34019","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-innovation-technology","category-articles","tag-agriculture","tag-crops","tag-monitoraggio-en","tag-organic-matter","tag-research","tag-soil","tag-usa-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>In the USA, a predictive model shortens soil test timing<\/title>\n<meta name=\"description\" content=\"The University of Arkansas forecasting model could be able to halve the time required for the overall soil analysis\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/resoilfoundation.org\/en\/innovation-technology\/predictive-model-soil-test\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"In the USA, a predictive model shortens soil test timing\" \/>\n<meta property=\"og:description\" content=\"The University of Arkansas forecasting model could be able to halve the time required for the overall soil analysis\" \/>\n<meta property=\"og:url\" content=\"https:\/\/resoilfoundation.org\/en\/innovation-technology\/predictive-model-soil-test\/\" \/>\n<meta property=\"og:site_name\" content=\"Re Soil Foundation\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/resoilfoundation\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-06-12T09:07:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-06-17T14:34:35+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/resoilfoundation.org\/wp-content\/uploads\/2024\/06\/suolo-usa-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"800\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Matteo Cavallito\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@re_soil\" \/>\n<meta name=\"twitter:site\" content=\"@re_soil\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Matteo Cavallito\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/resoilfoundation.org\\\/en\\\/innovation-technology\\\/predictive-model-soil-test\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/resoilfoundation.org\\\/en\\\/innovation-technology\\\/predictive-model-soil-test\\\/\"},\"author\":{\"name\":\"Matteo Cavallito\",\"@id\":\"https:\\\/\\\/resoilfoundation.org\\\/en\\\/#\\\/schema\\\/person\\\/9deaff5320c99714a3a7944e4b7c8fbe\"},\"headline\":\"In the USA, a predictive model shortens soil test timing\",\"datePublished\":\"2024-06-12T09:07:07+00:00\",\"dateModified\":\"2024-06-17T14:34:35+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/resoilfoundation.org\\\/en\\\/innovation-technology\\\/predictive-model-soil-test\\\/\"},\"wordCount\":491,\"image\":{\"@id\":\"https:\\\/\\\/resoilfoundation.org\\\/en\\\/innovation-technology\\\/predictive-model-soil-test\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/resoilfoundation.org\\\/wp-content\\\/uploads\\\/2024\\\/06\\\/suolo-usa-1.jpg\",\"keywords\":[\"agriculture\",\"crops\",\"monitoraggio\",\"organic matter\",\"research\",\"soil\",\"usa\"],\"articleSection\":[\"Innovation &amp; 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