{"id":8,"date":"2025-01-02T11:26:30","date_gmt":"2025-01-02T11:26:30","guid":{"rendered":"http:\/\/soilindex.iari.res.in\/?page_id=8"},"modified":"2025-02-17T07:00:55","modified_gmt":"2025-02-17T07:00:55","slug":"home","status":"publish","type":"page","link":"http:\/\/soilindex.iari.res.in\/","title":{"rendered":"Home"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"8\" class=\"elementor elementor-8\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1ae662270 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"1ae662270\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-69264d7d wpr-adv-slider-columns-1 wpr-adv-slider-columns--tablet1 wpr-adv-slider-columns--mobile1 wpr-adv-slides-to-scroll-1 wpr-slider-dots-horizontal elementor-widget elementor-widget-wpr-advanced-slider\" data-id=\"69264d7d\" data-element_type=\"widget\" data-settings=\"{&quot;slider_amount&quot;:1,&quot;slider_amount_tablet&quot;:1,&quot;slider_amount_mobile&quot;:1,&quot;slides_to_scroll&quot;:1,&quot;slider_loop&quot;:&quot;yes&quot;,&quot;slider_video_btn_size&quot;:&quot;medium&quot;}\" data-widget_type=\"wpr-advanced-slider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n\t\t<!-- Advanced Slider -->\n\t\t<div class=\"wpr-advanced-slider-wrap\">\n\t\t\t\n\t\t\t<div class=\"wpr-advanced-slider\" dir=\"ltr\" data-slick=\"{&quot;rtl&quot;:false,&quot;infinite&quot;:true,&quot;speed&quot;:700,&quot;arrows&quot;:true,&quot;dots&quot;:true,&quot;autoplay&quot;:false,&quot;autoplaySpeed&quot;:0,&quot;pauseOnHover&quot;:&quot;&quot;,&quot;prevArrow&quot;:&quot;#wpr-slider-prev-69264d7d&quot;,&quot;nextArrow&quot;:&quot;#wpr-slider-next-69264d7d&quot;,&quot;vertical&quot;:false,&quot;adaptiveHeight&quot;:true}\" data-video-btn-size=\"{&quot;widescreen&quot;:&quot;medium&quot;,&quot;desktop&quot;:&quot;medium&quot;,&quot;laptop&quot;:&quot;medium&quot;,&quot;tablet_extra&quot;:&quot;medium&quot;,&quot;tablet&quot;:&quot;medium&quot;,&quot;mobile_extra&quot;:&quot;medium&quot;,&quot;mobile&quot;:&quot;medium&quot;}\" data-slide-effect=\"slide\">\n\t\t\t\t<div class=\"wpr-slider-item elementor-repeater-item-d802c56\"><div class=\"wpr-slider-item-bg \" style=\"background-image: url(http:\/\/soilindex.iari.res.in\/wp-content\/uploads\/2025\/01\/Picture1.jpg)\"><\/div><div class=\"wpr-slider-item-overlay\"><\/div><div class=\"wpr-cv-container\"><div class=\"wpr-cv-outer\"><div class=\"wpr-cv-inner\"><div class=\"wpr-slider-content\"><div class=\"wpr-slider-title\"><h6>Decision Support System for Soil Health assessment<\/h6><\/div><div class=\"wpr-slider-description\"><p>Division of Soil Science and Agricultural Chemistry\n<br>\n                Indian Agricultural Research Institute\n        New Delhi-110012\n<\/p><\/div><div class=\"wpr-slider-btns\"><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"wpr-slider-item elementor-repeater-item-bd87c26\"><div class=\"wpr-slider-item-bg \" style=\"background-image: url(http:\/\/soilindex.iari.res.in\/wp-content\/uploads\/2025\/01\/Picture2.jpg)\"><\/div><div class=\"wpr-cv-container\"><div class=\"wpr-cv-outer\"><div class=\"wpr-cv-inner\"><\/div><\/div><\/div><\/div>\t\t\t<\/div>\n\t\t\t<div class=\"wpr-slider-controls\">\n\t\t\t\t<div class=\"wpr-slider-dots\"><\/div>\n\t\t\t<\/div>\n\n\t\t\t<div class=\"wpr-slider-arrow-container\">\n\t\t\t\t<div class=\"wpr-slider-prev-arrow wpr-slider-arrow\" id=\"wpr-slider-prev-69264d7d\">\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"wpr-slider-next-arrow wpr-slider-arrow\" id=\"wpr-slider-next-69264d7d\">\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-11862144 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"11862144\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-78059de2 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-child\" data-id=\"78059de2\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4cc00bf elementor-widget elementor-widget-heading\" data-id=\"4cc00bf\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Decision Support System for Soil Health assessment<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5ac98aae elementor-widget elementor-widget-text-editor\" data-id=\"5ac98aae\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>An online decision support system for assessing soil health has been developed under the Soil Management Assessment Framework (SMAF) of Andrews\u00a0<em>et al<\/em>. (2004) using productivity as management goal for which nutrient cycling, physical stability and support, water relations, resistance and resilience were chosen as supporting soil functions. Scoring of all the data was done in standardized linear scoring function (Andrews\u00a0<em>et al<\/em>., 2002) where, \u2018more is better\u2019, \u2018less is better\u2019, and \u2018optimum is better\u2019 approach was used. Each of the indicators was divided into three classes namely, Class \u2013 I, Class \u2013 II and Class &#8211; III with an assigned mark of 0.9, 0.7 and 0.4, respectively. The soil health index (SHI) was calculated by the following equation:<\/p><p><strong>SHI = \u2211 W<sub>i<\/sub> M<sub>i<\/sub>,<\/strong><\/p><p>Where, W<sub>i<\/sub> is the weight of the indicator and M<sub>i<\/sub> is the mark of the indicator classes.<\/p><p>Here the assumption is that higher index scores mean better soil health or greater performance of soil function. The SHI is rated as:&lt;0.25, 0.25-0.50, 0.50-0.70, 0.70-0.90 and &gt;0.90 for interpreting the health of soil as very poor, poor, good, very good and excellent, respectively. The introduction of the values of soil health parameters in the on-line decision support system will automatically calculate the soil health index and interpret the overall health of the soil under consideration.\u00a0The online decision support system has been developed for the soils under different agro-ecological regions of India. It is mandatory to analyze at least most sensitive soil parameters (*) under productivity management goal for calculation of SHI by this decision support system.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6f0dba76 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-child\" data-id=\"6f0dba76\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6e9df193 elementor-widget elementor-widget-image\" data-id=\"6e9df193\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"777\" height=\"1024\" src=\"https:\/\/soilindex.iari.res.in\/wp-content\/uploads\/2025\/01\/Picture3-777x1024.jpg\" class=\"attachment-large size-large wp-image-64\" alt=\"\" srcset=\"https:\/\/soilindex.iari.res.in\/wp-content\/uploads\/2025\/01\/Picture3-777x1024.jpg 777w, https:\/\/soilindex.iari.res.in\/wp-content\/uploads\/2025\/01\/Picture3-228x300.jpg 228w, https:\/\/soilindex.iari.res.in\/wp-content\/uploads\/2025\/01\/Picture3-768x1012.jpg 768w, https:\/\/soilindex.iari.res.in\/wp-content\/uploads\/2025\/01\/Picture3-1165x1536.jpg 1165w, https:\/\/soilindex.iari.res.in\/wp-content\/uploads\/2025\/01\/Picture3.jpg 1379w\" sizes=\"(max-width: 777px) 100vw, 777px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-efcf3d1 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"efcf3d1\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-55ff7ba elementor-widget elementor-widget-text-editor\" data-id=\"55ff7ba\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2><b><u>References:<\/u><\/b><\/h2><ol><li>Andrews, S.S., Karlen, D.L., Cambardella, C.A. 2004. The soil management assessment framework: A Quantitative soil quality evaluation method. Soil Science Society of America Journal 68: 1945-1962.<\/li><li>Andrews, S.S., Karlen, D.L., Mitchell, J.P., 2002. A comparision of soil quality indexing methods for vegetable systems in Northern California. Agric. Ecosyst. Environ. 90, 25\u201345.<\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-01b5412 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"01b5412\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eb807db elementor-widget elementor-widget-shortcode\" data-id=\"eb807db\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"post-views content-post post-8 entry-meta load-static\">\r\n\t\t\t\t<span class=\"post-views-icon dashicons dashicons-chart-bar\"><\/span> <span class=\"post-views-label\">Page Views:<\/span> <span class=\"post-views-count\">1,063<\/span>\r\n\t\t\t<\/div><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Decision Support System for Soil Health assessment Division of Soil Science and Agricultural Chemistry Indian Agricultural Research Institute New Delhi-110012 Decision Support System for Soil Health assessment An online decision support system for assessing soil health has been developed under the Soil Management Assessment Framework (SMAF) of Andrews\u00a0et al. (2004) using productivity as management goal for which nutrient cycling, physical stability and support, water relations, resistance and resilience were chosen as supporting soil functions. Scoring of all the data was done in standardized linear scoring function (Andrews\u00a0et al., 2002) where, \u2018more is better\u2019, \u2018less is better\u2019, and \u2018optimum is better\u2019 approach was used. Each of the indicators was divided into three classes namely, Class \u2013 I, Class \u2013 II and Class &#8211; III with an assigned mark of 0.9, 0.7 and 0.4, respectively. The soil health index (SHI) was calculated by the following equation: SHI = \u2211 Wi Mi, Where, Wi is the weight of the indicator and Mi is the mark of the indicator classes. Here the assumption is that higher index scores mean better soil health or greater performance of soil function. The SHI is rated as:&lt;0.25, 0.25-0.50, 0.50-0.70, 0.70-0.90 and &gt;0.90 for interpreting the health of soil as very poor, poor, good, very good and excellent, respectively. The introduction of the values of soil health parameters in the on-line decision support system will automatically calculate the soil health index and interpret the overall health of the soil under consideration.\u00a0The online decision support system has been developed for the soils under different agro-ecological regions of India. It is mandatory to analyze at least most sensitive soil parameters (*) under productivity management goal for calculation of SHI by this decision support system. References: Andrews, S.S., Karlen, D.L., Cambardella, C.A. 2004. The soil management assessment framework: A Quantitative soil quality evaluation method. Soil Science Society of America Journal 68: 1945-1962. Andrews, S.S., Karlen, D.L., Mitchell, J.P., 2002. A comparision of soil quality indexing methods for vegetable systems in Northern California. Agric. Ecosyst. Environ. 90, 25\u201345.<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-8","page","type-page","status-publish","hentry"],"blocksy_meta":[],"_links":{"self":[{"href":"http:\/\/soilindex.iari.res.in\/index.php?rest_route=\/wp\/v2\/pages\/8","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/soilindex.iari.res.in\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/soilindex.iari.res.in\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/soilindex.iari.res.in\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/soilindex.iari.res.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8"}],"version-history":[{"count":13,"href":"http:\/\/soilindex.iari.res.in\/index.php?rest_route=\/wp\/v2\/pages\/8\/revisions"}],"predecessor-version":[{"id":197,"href":"http:\/\/soilindex.iari.res.in\/index.php?rest_route=\/wp\/v2\/pages\/8\/revisions\/197"}],"wp:attachment":[{"href":"http:\/\/soilindex.iari.res.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}