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Soil Analysis Course
More than 2 million students worldwide

Soil Analysis Course

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Master the full soil analysis workflow — from field sampling to laboratory measurement and professional reporting. This course gives agronomists, lab technicians, and soil scientists the technical skills to generate reliable, defensible data. Build expertise that directly supports crop management, environmental assessment, and land use decisions.

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What you will learn:

You will learn how soil forms, how its physical and chemical properties are measured, and how those measurements translate into practical management decisions. The course covers correct sampling design, sample preparation, and laboratory safety before moving into hands-on analytical methods for texture, pH, salinity, nutrients, and trace metals. You will operate key instruments including flame AAS, ICP-OES, and ion chromatographs, and apply quality assurance protocols to validate your results. Biological indicators, soil carbon determination, and contamination assessment are also addressed. By the end, you will write professional soil reports and develop fertiliser recommendations grounded in calibrated, statistically sound data.

How you study in practice Soil Analysis Course

How you practise Soil Analysis Course

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Course content

8 Chapters • 40 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Soil Science

  • Lesson 1 • Soil Texture and Particle Size

    Defines sand, silt, and clay fractions and their influence on soil behaviour. Provides the textural foundation for interpreting lab results.

  • Lesson 2 • Soil Organic Matter Fundamentals

    Introduces humus, decomposition pathways, and carbon cycling in soil. Connects organic matter content to fertility and analytical significance.

  • Lesson 3 • Soil Formation and Classification

    Covers pedogenesis factors and major soil classification systems. Links formation history to expected chemical and physical properties.

  • Lesson 4 • Soil Composition and Structure

    Examines mineral, organic, water, and air fractions that constitute soil. Establishes the physical baseline needed for all subsequent analytical work.

  • Lesson 5 • Soil-Water-Plant Relationships

    Explains water retention, field capacity, and plant-available water concepts. Grounds students in the agronomic context driving soil analysis demand.

Chapter 2See details

Soil Sampling Principles and Protocols

  • Lesson 1 • Quality Control in Field Sampling

    Introduces field blanks, duplicates, and spike samples to detect sampling error. Connects field QC practices to laboratory data reliability.

  • Lesson 2 • Sampling Objectives and Planning

    Defines analytical goals and links them to sampling design decisions. Prevents common errors by aligning purpose with method before fieldwork begins.

  • Lesson 3 • Sampling Patterns and Strategies

    Compares random, systematic, and composite sampling approaches. Guides selection of the most appropriate pattern for each field scenario.

  • Lesson 4 • Sample Handling and Chain of Custody

    Establishes procedures for labelling, storage, and transport to preserve sample integrity. Introduces chain-of-custody documentation as a quality assurance requirement.

  • Lesson 5 • Sampling Depth and Equipment

    Specifies correct sampling depths for different analytical targets and crop systems. Covers tool selection to minimise contamination and compaction.

Chapter 3See details

Sample Preparation and Laboratory Safety

  • Lesson 1 • Reagent and Standard Preparation

    Covers preparation of stock solutions, working standards, and extraction reagents. Accurate reagent preparation is the foundation of reliable quantitative results.

  • Lesson 2 • Drying and Grinding Procedures

    Details air-drying, oven-drying temperatures, and grinding protocols for different analyses. Prevents moisture-related errors that compromise analytical accuracy.

  • Lesson 3 • Subsampling and Homogenisation

    Teaches quartering, riffle splitting, and rotary division to obtain representative subsamples. Reduces within-sample variability before weighing for analysis.

  • Lesson 4 • Laboratory Safety Essentials

    Covers personal protective equipment, chemical hazard communication, and emergency procedures. Establishes non-negotiable safety behaviours before any bench work begins.

  • Lesson 5 • Laboratory Documentation and Records

    Establishes logbook standards, electronic data entry, and traceability requirements. Links thorough documentation to defensible analytical results and audit readiness.

Chapter 4See details

Physical Soil Analysis Methods

  • Lesson 1 • Soil Colour and Morphological Description

    Uses standardised colour charts and morphological descriptors to characterise soil profiles. Morphological data provide rapid, low-cost indicators of drainage and organic matter status.

  • Lesson 2 • Bulk Density and Porosity Measurement

    Uses core and clod methods to determine bulk density and total porosity. Data support compaction assessment and irrigation scheduling decisions.

  • Lesson 3 • Hydraulic Conductivity Determination

    Applies saturated and unsaturated conductivity methods in lab and field settings. Results guide drainage design and irrigation efficiency planning.

  • Lesson 4 • Particle Size Analysis

    Applies hydrometer and pipette methods to quantify sand, silt, and clay percentages. Results feed directly into textural classification and water-holding capacity estimates.

  • Lesson 5 • Soil Aggregate Stability Testing

    Measures wet and dry aggregate stability to evaluate structural resilience. Connects aggregate data to erosion risk and tillage management recommendations.

Chapter 5See details

Soil Chemical Analysis: pH and Salinity

  • Lesson 1 • Lime Requirement Determination

    Applies buffer methods to estimate the lime dose needed to reach target pH. Connects pH measurement to practical amendment recommendations for acidic soils.

  • Lesson 2 • Sodium Adsorption Ratio Analysis

    Determines SAR from soluble cation concentrations to assess sodicity risk. Links SAR values to soil structural degradation and irrigation water quality standards.

  • Lesson 3 • Soil pH Theory and Measurement

    Explains active and reserve acidity, buffer pH, and electrode calibration procedures. Accurate pH measurement underpins nutrient availability interpretation throughout the course.

  • Lesson 4 • Interpreting pH and Salinity Reports

    Translates measured values into nutrient availability charts and crop suitability ratings. Develops the interpretive skill needed to convert raw data into actionable recommendations.

  • Lesson 5 • Electrical Conductivity and Salinity

    Measures EC in saturation extracts and 1:1 or 1:5 suspensions to quantify soluble salts. Establishes salinity thresholds relevant to crop tolerance and irrigation management.

Chapter 6See details

Instrumental Analysis Techniques

  • Lesson 1 • Instrument Calibration and Maintenance

    Establishes calibration verification, drift correction, and preventive maintenance schedules. Proper instrument care sustains data quality and extends equipment service life.

  • Lesson 2 • ICP-OES and ICP-MS Fundamentals

    Introduces plasma-based multi-element analysis for simultaneous nutrient and trace metal quantification. Highlights sensitivity advantages and interference management strategies.

  • Lesson 3 • Colorimetric and Spectrophotometric Methods

    Applies Beer-Lambert law to UV-Vis measurements of P, N, and organic carbon. Colorimetric methods remain cost-effective for high-throughput routine soil analysis.

  • Lesson 4 • Ion Chromatography for Anion Analysis

    Uses ion chromatography to quantify nitrate, sulfate, chloride, and phosphate simultaneously. Provides high-precision anion data for salinity and nutrient assessments.

  • Lesson 5 • Flame and Atomic Absorption Spectrometry

    Covers flame AAS principles, lamp selection, and matrix matching for soil digests. Students quantify Ca, Mg, K, Na, Fe, Mn, Zn, and Cu with validated methods.

Chapter 7See details

Soil Nutrient Analysis and Fertility

  • Lesson 1 • Nitrogen Fractionation and Analysis

    Measures total N, nitrate-N, and ammonium-N using Kjeldahl digestion and colorimetric methods. Nitrogen fractionation guides timing and form of N fertiliser applications.

  • Lesson 2 • Fertiliser Recommendation Development

    Integrates extraction data, yield goals, and crop removal rates into fertiliser rate calculations. Produces written recommendations that balance agronomic and environmental objectives.

  • Lesson 3 • Macronutrient Extraction Methods

    Applies Mehlich, Bray, and Olsen extractants to quantify P, K, Ca, Mg, and S. Extractant selection is matched to soil pH and regional calibration databases.

  • Lesson 4 • Micronutrient and Heavy Metal Extraction

    Uses DTPA and other chelate extractants to quantify Fe, Mn, Zn, Cu, and B. Distinguishes plant-available fractions from total metal content for accurate interpretation.

  • Lesson 5 • Cation Exchange Capacity Determination

    Measures CEC by ammonium acetate and summation methods to assess nutrient retention capacity. CEC data are essential for calibrating fertiliser rates and amendment strategies.

Chapter 8See details

Data Quality, Interpretation, and Reporting

  • Lesson 1 • Quality Assurance and Quality Control

    Defines method detection limits, accuracy, precision, and control chart use in soil labs. QA/QC systems ensure data are defensible for regulatory and advisory purposes.

  • Lesson 2 • Soil Health Indexing and Scoring

    Integrates physical, chemical, and biological indicators into composite soil health scores. Scoring frameworks enable comparison across sites and tracking of management trends.

  • Lesson 3 • Soil Test Calibration and Correlation

    Explains how field response trials calibrate laboratory extractant values to crop yield. Calibration databases are the bridge between lab numbers and agronomic meaning.

  • Lesson 4 • Professional Report Writing

    Structures analytical reports with executive summaries, data tables, and actionable recommendations. Clear communication of results is the final deliverable of the analytical process.

  • Lesson 5 • Statistical Analysis of Soil Data

    Applies descriptive statistics, outlier detection, and spatial statistics to soil datasets. Statistical rigour separates meaningful trends from analytical noise in field data.

Certification

Your valid completion certificate

This course is for you:

  • Agronomists: seeking laboratory depth to complement existing field advisory experience.

  • Environmental technicians: needing structured soil methods for contamination site assessments.

  • Agricultural students: building analytical credentials before entering the job market.

  • Farmers: wanting to interpret their own soil test results without relying on others.

  • Career changers: transitioning from general science roles into soil or land management.

  • Precision agriculture specialists: adding chemical and biological analysis to spatial skill sets.

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