Regenerative Agriculture and Carbon Farming Training Course

Participants can interpret soil-health evidence and relate soil function to carbon storage potential.

• Soil texture, structure, aggregation, porosity, and infiltration fundamentals
• Soil organic carbon fractions: particulate, mineral-associated, and microbial biomass
• Carbon saturation concepts and limits to sequestration potential
• Diagnosing compaction, erosion, crusting, acidity, salinity, and nutrient constraints
• Field indicators paired with laboratory tests for soil-health assessment
• Management effects on rooting depth, water holding, and nutrient cycling

Participants can prepare a structured farm baseline for regenerative intervention design.

• Farm-gate maps showing land uses, enterprises, infrastructure, and resource flows
• Seasonal calendars tracking planting, grazing, labour, rainfall, and cash needs
• Enterprise budgets identifying variable costs, fixed costs, and gross margins
• Input-use records covering fertiliser, fuel, feed, pesticides, and irrigation
• Producer interviews identifying adoption barriers, incentives, and decision authority
• Baseline scorecards combining soil, production, livelihood, and emissions evidence

Participants can select crop-system practices that improve soil cover, diversity and nutrient cycling.

• Cover-crop species selected by rainfall, planting window, and termination method
• Crop rotations designed for nitrogen, pest breaks, residue, and markets
• Intercropping patterns balancing competition, harvestability, and labour requirements
• Residue retention assessed against livestock feed and household fuel demands
• Reduced tillage matched to weeds, equipment, soil type, and residue levels
• Integrated pest management using thresholds, scouting, biological controls, and rotations

Participants can design nutrient strategies that reduce losses and support soil organic matter.

• 4R nutrient stewardship applied to source, rate, timing, and placement
• Nutrient budgets comparing crop demand, manure supply, and fertiliser inputs
• Compost maturity assessed through temperature, moisture, odour, and stability
• Manure management options reducing methane, nitrous oxide, and nutrient losses
• Biochar feedstocks, pyrolysis conditions, quality controls, and application rates
• Split nitrogen applications aligned with crop uptake and rainfall forecasts

Participants can integrate water-management measures into regenerative farm plans.

• Infiltration tests used to assess rainfall capture and runoff risk
• Contour farming, grass strips, bunds, and terraces matched to slope
• Mulching strategies compared for moisture retention, pests, and biomass demand
• Irrigation scheduling based on evapotranspiration, soil moisture, and crop stage
• Drought contingency plans covering seed, feed, water, and finance
• Flood-risk measures protecting soils, drainage, storage, and farm access

Participants can assess managed grazing and livestock practices for land, feed and emissions outcomes.

• Forage budgets matching stocking rates with seasonal biomass availability
• Rotational grazing plans using recovery periods, residuals, and paddock records
• Grazing exclusion decisions balancing restoration, access rights, and feed security
• Feed quality improvements linked to enteric methane and animal performance
• Manure collection, storage, treatment, and field application management
• Silvopasture designs combining shade, fodder, livestock movement, and tree protection

Participants can design agroforestry options suited to production, carbon and livelihood objectives.

• Agroforestry typologies: alley cropping, boundary planting, multistrata, and woodlots
• Tree-species selection considering survival, markets, rooting, and water competition
• Planting density and spacing calculated for crop-light and biomass objectives
• Seedling establishment plans covering protection, watering, mulching, and replacement
• Tree biomass estimates derived from allometric equations and inventory data
• Tenure and benefit-sharing arrangements for trees on smallholder land

Participants can construct a farm greenhouse-gas inventory using recognised emission-source categories.

• GHG Protocol land-sector boundaries for farms, suppliers, and purchased inputs
• Emission sources classified as fuel, fertiliser, livestock, soils, and residues
• IPCC Tier 1 methods applied to fertiliser and manure emissions
• Activity data checks for units, completeness, seasonality, and double counting
• Global warming potentials selected from required reporting guidance
• Inventory tables separating direct emissions, indirect emissions, and removals

Participants can specify a practical soil-carbon sampling plan and quality controls.

• Sampling objectives defined for baselines, monitoring, verification, and research
• Stratification by soil type, land use, management history, and topography
• Sample-size calculations considering variability, precision, budget, and expected change
• Fixed-depth sampling compared with equivalent-soil-mass carbon stock methods
• Chain-of-custody procedures covering labels, storage, transport, and laboratory requests
• Laboratory methods: dry combustion, bulk density, gravel correction, and reporting

Participants can combine field evidence and digital data for operational monitoring.

• Satellite imagery uses for land cover, crop vigour, and disturbance screening
• NDVI interpreted cautiously alongside field observations and crop calendars
• Georeferenced field boundaries prepared with polygons, coordinates, and metadata
• Digital data collection forms structured for farms, practices, and evidence
• Photo-monitoring protocols specifying location, date, orientation, and subject
• Data-quality checks identifying missing values, duplicates, outliers, and inconsistencies

Participants can screen carbon farming concepts against core project eligibility requirements.

• Project boundaries defining participants, parcels, activities, and excluded areas
• Additionality tests examining common practice, legal requirements, and financial barriers
• Crediting baselines established from historical management and plausible alternatives
• Leakage risks assessed for displaced grazing, cultivation, biomass, and inputs
• Permanence risks identified for reversal, fire, drought, pests, and land conversion
• Eligibility screening records documenting evidence, assumptions, and unresolved issues

Participants can interpret methodology requirements and distinguish crediting from corporate claims.

• Verra VM0042 requirements for improved agricultural land management projects
• Methodology applicability matched to geography, practices, data, and project scale
• Ex ante estimates separated from issued credits and verified removals
• Carbon-credit lifecycle: design, validation, monitoring, verification, issuance, and retirement
• Insetting claims distinguished from offsetting claims and inventory reductions
• Buyer due diligence reviewing registries, contracts, vintage, and retirement evidence

Participants can build an MRV system proportionate to project risk, scale and budget.

• MRV architecture linking indicators, data sources, responsibilities, and reporting cycles
• Monitoring plans specifying practice adoption, carbon stocks, and co-benefits
• Standard operating procedures for enumerators, agronomists, laboratories, and data managers
• Quality assurance controls using training, spot checks, audits, and version histories
• Uncertainty quantified through sampling error, model error, and conservative deductions
• Verification files organised with evidence registers, traceability, and approval records

Participants can structure adoption and benefit-sharing arrangements that are feasible and equitable.

• Adoption pathways mapped from awareness through trial, adaptation, and sustained use
• Farmer segmentation based on assets, tenure, labour, gender, and risk
• Incentive packages combining technical support, inputs, finance, and payment timing
• Free, prior and informed consent applied to community land arrangements
• Benefit-sharing formulas addressing costs, aggregation fees, credits, and community funds
• Grievance mechanisms documenting complaints, response deadlines, and escalation routes

Participants can prepare farm and programme business cases for regenerative practice adoption.

• Partial budgets comparing incremental costs, savings, revenues, and foregone income
• Cash-flow profiles reflecting establishment periods, seasonal expenses, and delayed benefits
• Net present value calculated using stated discount rates and scenarios
• Sensitivity analysis testing yield, input prices, credit revenue, and adoption rates
• Blended finance structures combining grants, loans, guarantees, and buyer payments
• Results-based payment triggers tied to practices, outputs, and verified outcomes

Participants can convert technical interventions into an implementable farm or programme workplan.

• Theory of change linking practices, outputs, outcomes, and assumptions
• Practice packages tailored by agroecological zone and producer segment
• Implementation schedules aligned with rainfall, planting, grazing, and procurement cycles
• RACI matrices assigning technical, commercial, data, and community responsibilities
• Procurement specifications for seed, equipment, laboratory services, and digital systems
• Key performance indicators tracking adoption, soil, emissions, income, and participation

Participants can establish governance and risk controls for regenerative agriculture and carbon programmes.

• Risk registers covering agronomic, climate, market, data, and reputational exposures
• Climate scenarios tested against rainfall, heat, flood, pest, and fire risks
• Land-tenure due diligence identifying ownership, customary rights, and disputes
• Environmental safeguards screening water, biodiversity, chemicals, and invasive species
• Data governance rules covering consent, access, retention, and data ownership
• Steering committee terms defining decisions, reporting, escalation, and accountability

Participants can connect farm interventions to supply-chain climate targets and procurement decisions.

• Supplier engagement models combining standards, incentives, contracts, and technical assistance
• Scope 3 agricultural data matched to supplier records and allocation rules
• Procurement criteria rewarding verified practices, traceability, and continuous improvement
• Aggregation models reducing monitoring costs for cooperatives and producer groups
• Claims governance aligning marketing statements with evidence and approval processes
• Supplier scorecards tracking adoption, emissions intensity, resilience, and quality

Participants can prepare and review core documentation for carbon farming project decisions.

• Project concept notes stating activities, participants, geography, and anticipated outcomes
• Data-room checklists covering tenure, farm records, consents, maps, and contracts
• Monitoring budgets separating fieldwork, laboratory, technology, assurance, and administration
• Contract terms reviewed for carbon rights, liabilities, payments, and reversals
• Investment memoranda presenting assumptions, risks, mitigation measures, and decision gates
• Independent review questions testing evidence quality, feasibility, and claim integrity

Participants can build, review and present a complete regenerative agriculture and carbon farming implementation plan.

• Baseline synthesis combining farm conditions, emissions, soil, and adoption evidence
• Practice portfolio justified through agronomic suitability, costs, and expected outcomes
• Carbon accounting model documenting sources, removals, assumptions, and uncertainty
• MRV plan specifying indicators, sampling, digital records, quality controls, and reporting
• Implementation budget, timeline, governance structure, incentives, and risk register
• Stakeholder presentation defending design choices, evidence limits, and next decisions