{"id":167,"date":"2026-10-13T11:21:45","date_gmt":"2026-10-13T11:21:45","guid":{"rendered":"https:\/\/therisk.global\/food-nexus\/?page_id=167"},"modified":"2026-10-13T17:56:20","modified_gmt":"2026-10-13T17:56:20","slug":"agricultural-science","status":"publish","type":"page","link":"https:\/\/therisk.global\/food-nexus\/stem\/agricultural-science\/","title":{"rendered":"Agricultural, soil and food science at Food Nexus"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/food-nexus\/stem\/agricultural-science\/ \u00b7 source template \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" 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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nn64ftgx.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"console\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G02 \u00b7 METHOD \u00b7 agricultural-science<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Food Nexus<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Method page \u00b7 Agricultural, soil and food science<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Agricultural, soil and food science at Food Nexus<\/h1><p class=\"nx-tagline\">Agricultural, soil and food science is the core discipline of this platform. It explains how crops, livestock and fish respond to weather, soil, water, nutrients, pests and management, and how food is preserved and kept safe after harvest. Its models and trials link climate and market shocks to yields, diets and food safety.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/food-nexus\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/food-nexus\/stem\/\">Back to STEM foundation of Food Nexus<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Method record<\/strong><\/span><span class=\"nx-eyebrow\">agricultural-science<\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Agricultural, soil and food science<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Steward<\/span><span class=\"nx-register-v\">Food Nexus<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Applied in<\/span><span class=\"nx-register-v\">Food Nexus<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Data<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-data\">5 inputs<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Checks<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-checks\">4 validation steps<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Canonical page<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/agricultural-science\/\">STEM Commons<\/a><\/span><\/div><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 Established \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-application\"><span>02<\/span>What agricultural, soil and food\u2026<\/a><a href=\"#nx-sec-terms\"><span>03<\/span>Terms used on this page<\/a><a href=\"#nx-sec-field\"><span>04<\/span>Food systems and trade routes in\u2026<\/a><a href=\"#nx-sec-canvas\"><span>05<\/span>The method as a run graph<\/a><a href=\"#nx-sec-data\"><span>06<\/span>What the method consumes<\/a><a href=\"#nx-sec-checks\"><span>07<\/span>How results are checked<\/a><a href=\"#nx-sec-connections\"><span>08<\/span>Topics that rely on this method<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"food\" data-variant=\"split\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Agricultural, soil and food science is the study of how crops, livestock and fish respond to weather, soil, water, nutrients, pests and management, and how food is kept safe after harvest. For food risk it links climate and market shocks to yields, diets and food safety through field trials, surveys and crop simulation models.<\/p><\/div><\/div><\/section><section id=\"nx-sec-application\" class=\"nx-section\" data-hue=\"supply\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Application<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">What agricultural, soil and food science does here.<\/h2><p class=\"nx-lede\">Agricultural science studies crop and livestock production, soil processes and food systems. It explains how weather, pests, soil degradation and markets combine to affect yields and food availability. In food and agriculture, trade, resources and supply chains and climate and hazards, agricultural assessment supports early warning of food shortages, crop insurance design and adaptation planning. It connects climate, water and trade risks to nutrition and price stability. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/agricultural-science\/\">the STEM Commons<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cols\"><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M2 22 16 8\"\/><path d=\"M3.47 12.53 5 11l1.53 1.53a3.5 3.5 0 0 1 0 4.94L5 19l-1.53-1.53a3.5 3.5 0 0 1 0-4.94Z\"\/><path d=\"M7.47 8.53 9 7l1.53 1.53a3.5 3.5 0 0 1 0 4.94L9 15l-1.53-1.53a3.5 3.5 0 0 1 0-4.94Z\"\/><path d=\"M11.47 4.53 13 3l1.53 1.53a3.5 3.5 0 0 1 0 4.94L13 11l-1.53-1.53a3.5 3.5 0 0 1 0-4.94Z\"\/><path d=\"M20 2h2v2a4 4 0 0 1-4 4h-2V6a4 4 0 0 1 4-4Z\"\/><path d=\"M11.47 17.47 13 19l-1.53 1.53a3.5 3.5 0 0 1-4.94 0L5 19l1.53-1.53a3.5 3.5 0 0 1 4.94 0Z\"\/><path d=\"M15.47 13.47 17 15l-1.53 1.53a3.5 3.5 0 0 1-4.94 0L9 15l1.53-1.53a3.5 3.5 0 0 1 4.94 0Z\"\/><path d=\"M19.47 9.47 21 11l-1.53 1.53a3.5 3.5 0 0 1-4.94 0L13 11l1.53-1.53a3.5 3.5 0 0 1 4.94 0Z\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Crop simulation for seasonal yield risk<\/h3><p class=\"nx-p nx-mt-1\">Process-based crop models are run with observed weather to date and seasonal forecasts for the rest of the season, giving a distribution of yields per district rather than a single estimate.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Yield gap and nutrient limitation analysis<\/h3><p class=\"nx-p nx-mt-1\">Attainable yields from trials and models are compared with reported yields, following protocols such as those of the Global Yield Gap Atlas, to show whether water, nutrients, pests or management limit output.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 13c0 5-3.5 7.5-7.66 8.95a1 1 0 0 1-.67-.01C7.5 20.5 4 18 4 13V6a1 1 0 0 1 1-1c2 0 4.5-1.2 6.24-2.72a1.17 1.17 0 0 1 1.52 0C14.51 3.81 17 5 19 5a1 1 0 0 1 1 1z\"\/><path d=\"m9 12 2 2 4-4\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Post-harvest quality and safety assessment<\/h3><p class=\"nx-p nx-mt-1\">Grain moisture, storage conditions and mycotoxin sampling are combined to identify where stored food is at risk of spoilage or contamination, and which handling steps reduce that risk.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Crop simulation model<\/td><td data-label=\"Definition\">A model that simulates crop growth from weather, soil and management inputs to estimate yield, such as DSSAT or APSIM.<\/td><\/tr><tr><td data-label=\"Term\">Multi-site field trial<\/td><td data-label=\"Definition\">An experiment repeated across several locations and seasons to separate a treatment's effect from local conditions.<\/td><\/tr><tr><td data-label=\"Term\">Limiting factor<\/td><td data-label=\"Definition\">The resource, such as water or nitrogen, whose shortage most restricts growth at a given time and place.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"food\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Food systems and trade routes in East Africa.<\/h2><p class=\"nx-lede\">Plains, deltas and basins, the corridors that carry food to ports, and how far each division sits from one, shown for East Africa as an example geography for this subject.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-map nx-cmap\" data-nx-map=\"ctx\" data-cmap=\"east-africa:food\" data-ramp=\"orange\" data-basis=\"case\" data-focus=\"0 0 2000 1400|581 513 1397 1307|918 68 1509 786|597 128 1000 549|556 611 692 771\"><figure class=\"nx-fk\" data-fk=\"map-east-africa-food\" data-ramp=\"orange\" 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\"><figcaption class=\"nx-fk-cap\"><span>Plains, deltas and basins, the corridors that carry food to ports, and how far each division sits from one.<\/span><span data-honesty=\"true\">Indicator derived from Natural Earth at map scale; a screening view, not an assessment.<\/span><\/figcaption><\/figure><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G02\/stem\/agricultural-science\/#map\" data-nxf-title=\"Food Nexus live map\" data-nxf-height=\"560\" hidden><\/div><div class=\"nx-map-hud\"><span class=\"nx-eyebrow\">GCRI \u00b7 Food Nexus \u00b7 field<\/span><span class=\"nx-eyebrow nx-map-hud-right\">DESIGN FIGURE<\/span><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-canvas\" class=\"nx-section\" data-hue=\"supply\" data-tone=\"alt\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">The method as a run graph.<\/h2><p class=\"nx-lede\">Data from the source register feeds the methods; calibration and an independent test gate the estimate and its limits; the decision stays with the competent authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Method canvas<\/strong> \u00b7 Agricultural, soil and food science as applied here<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g02-stem-agricultural-science-source-pass-t nx-dag-g02-stem-agricultural-science-source-pass-d\" data-nx-z=\"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\"><title id=\"nx-dag-g02-stem-agricultural-science-source-pass-t\">Agricultural, soil and food science in Food Nexus: from a source to a labelled evidence record<\/title><desc id=\"nx-dag-g02-stem-agricultural-science-source-pass-d\">A source is registered with its licence and steward, checked for quality and coverage, labelled by evidence class, versioned and published with a passport; corrections create a new version. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 01<\/strong><span>Nodes carry their type, metrics and state; connectors show what feeds what; the gates are the validation steps; the timeline is one application. Design of the method's use, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-data\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Data<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by agricultural, soil and food science on this platform, with the role each plays and the label its values carry. Sources are listed in <a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/research\/sources\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Data<\/th><th scope=\"col\">Role<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Data\">Multi-site field trials<\/td><td data-label=\"Role\">Model calibration and variety response<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Agricultural census and crop-cut surveys<\/td><td data-label=\"Role\">Reported area and yield<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Data\">Soil profiles and laboratory analyses<\/td><td data-label=\"Role\">Soil water and nutrient parameters<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Weather stations and ERA5 reanalysis<\/td><td data-label=\"Role\">Crop model forcing<\/td><td data-label=\"Label\"><span class=\"nx-chip\">MODELLED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Food safety sampling records<\/td><td data-label=\"Role\">Contaminant and residue levels<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gcri\/G02\/stem\/agricultural-science\/#data\" data-nxf-title=\"Method record\" data-nxf-height=\"520\" hidden><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G02\/stem\/agricultural-science\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section\" data-hue=\"food\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Validation<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Crop models are compared with observed yields across sites and seasons. Replicated field trials and multi-model intercomparisons test robustness.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Check<\/th><th scope=\"col\">How it is done<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Check\">Multi-model ensembles<\/td><td data-label=\"How it is done\">Several crop models are run on the same inputs, following AgMIP protocols, so structural uncertainty is visible<\/td><\/tr><tr><td data-label=\"Check\">Out-of-sample yield testing<\/td><td data-label=\"How it is done\">Models are tested on seasons and sites not used in calibration, and error is reported by region<\/td><\/tr><tr><td data-label=\"Check\">Trial design review<\/td><td data-label=\"How it is done\">Trials are checked for replication, randomisation and how well they represent farm conditions<\/td><\/tr><tr><td data-label=\"Check\">Survey reconciliation<\/td><td data-label=\"How it is done\">Modelled and reported yields are compared, and disagreements are reported rather than averaged away<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Models often omit management practices, pests and extreme events that drive actual losses. Smallholder systems are underrepresented in data.<\/p><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section\" data-hue=\"supply\" data-tone=\"alt\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connections<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Topics that rely on this method.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/agricultural-production\/\"><span>Agricultural production<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/food-security-and-access\/\"><span>Food security and access<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/soil-and-land\/\"><span>Soil and land<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/storage-and-cold-chain\/\"><span>Storage and cold chain<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/agritech-and-innovation\/\"><span>Agritech and innovation<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/food-nexus\/topics\/food-trade-and-markets\/\"><span>Food trade and markets<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-stewardship\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Stewardship<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\">Food Nexus stewards agricultural, soil and food science for the Consortium and reviews how it is applied across platforms.<\/p><\/div><div class=\"nx-section-body\"><p class=\"nx-p\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/agricultural-science\/\">Canonical page: Agricultural, soil and food science<\/a><\/p><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section\" data-hue=\"food\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connected<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/stem\/science\/agricultural-science\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Canonical method page<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Agricultural, soil and food science<\/span><span class=\"nx-dest-why\">Platform application links to the canonical method page.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-12-sec\" class=\"nx-section\" data-hue=\"supply\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What are the limits of agricultural, soil and food science in this field?<\/summary><div class=\"nx-answer\">Models often omit management practices, pests and extreme events that drive actual losses. Smallholder systems are underrepresented in data.<\/div><\/details><details><summary>How are results checked?<\/summary><div class=\"nx-answer\">Crop models are compared with observed yields across sites and seasons. Replicated field trials and multi-model intercomparisons test robustness.<\/div><\/details><details><summary>Are the values on this page real?<\/summary><div class=\"nx-answer\">The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method's use, not a run; no result is reported here.<\/div><\/details><details><summary>Where else is this method applied?<\/summary><div class=\"nx-answer\">The <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/agricultural-science\/\">canonical method page<\/a> lists every platform that applies it.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-13\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-13\" class=\"nx-h3 nx-mt-2\">Around Food Nexus.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/food-nexus\/stem\/ecology\/\">Ecology for food systems <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/food-nexus\/stem\/earth-observation\/\">Earth observation for crop monitoring <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/food-nexus\/stem\/spatial-statistics\/\">Spatial statistics for food security <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/food-nexus\/stem\/forecasting\/\">Forecasting for food security <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/food-nexus\/stem\/optimization\/\">Optimization for food supply chains <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/food-nexus\/stem\/econometrics\/\">Econometrics of food prices <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/food-nexus\/\">Food Nexus home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/food-nexus\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-14\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Food Nexus<\/span><h2 id=\"nx-close-14\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. 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