GITNUXSOFTWARE ADVICE
Agriculture FarmingTop 10 Best Soil Analysis Software of 2026
Ranking of soil analysis software for farm teams with feature tradeoffs, including CropX, Farm IQ, Taranis, and other shortlists.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Agrivi is the best fit for farm teams that need repeatable, location-aware soil test workflows tied to field records and agronomy planning, whereas MySoil works well if you want a more standardized, app-based way to standardize lab-to-map reporting.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Agrivi
Georeferenced sampling-to-results workflow that keeps soil records connected to field locations for repeat seasons.
Built for fits when farm teams need repeatable, location-aware soil test workflows..
FarmQA
Editor pickLocation-linked lab ingestion with controlled reporting outputs that reduce manual reconciliation after sampling.
Built for fits when agronomy teams need consistent lab-to-map workflows across farms and GIS export handoffs..
MySoil
Editor pickCampaign-level reporting that keeps sample metadata and interpretation settings tied to each field.
Built for fits when farm teams standardize lab-to-map reporting with repeatable field documentation..
Comparison Table
Agrivi
SMBFarm management software with soil analysis, field records, and agronomy planning tools.
Georeferenced sampling-to-results workflow that keeps soil records connected to field locations for repeat seasons.
Agrivi’s core workflow centers on collecting soil test results tied to sampling locations, then structuring that data for field and management views. The product supports georeferenced sampling so teams can align results with field blocks and create interpretation outputs without manual spreadsheets. Map and field summaries reduce time spent searching for prior results when planning next sampling rounds. Export options support bringing results into other systems when a separate GIS or prescription tool is used.
A key tradeoff is that interpretation quality depends on how well sampling zones and location accuracy are set up before data ingestion. Teams using grid sampling often get the cleanest spatial summaries, while zone sampling can require stricter consistency in boundary definitions across years. Agrivi fits teams that run recurring sampling campaigns and need a repeatable process from lab paperwork to field-ready outputs.
- +Georeferenced soil test workflow ties lab results to field location
- +Recurring sampling organization reduces re-entry of historical data
- +Field and map summaries support fast management review
- +Export formats support handoff to separate GIS or agronomy tools
- –Spatial interpretation depends heavily on sampling location accuracy
- –Some advanced spatial modeling steps require external GIS tools
- –Integration depth beyond exports is limited for custom pipelines
Farm agronomy teams
Convert lab soil results into field actions
More consistent next-step decisions
Crop production coordinators
Plan recurring soil sampling routes
Less planning overhead
Show 1 more scenario
GIS and agronomy analyst teams
Export interpreted soil data layers
Faster downstream GIS updates
Export options support moving soil summaries into external mapping workflows.
Best for: Fits when farm teams need repeatable, location-aware soil test workflows.
FarmQA
SMBAgronomy software for crop scouting, soil sampling, lab integration, recommendations, and field data collection.
Location-linked lab ingestion with controlled reporting outputs that reduce manual reconciliation after sampling.
FarmQA fits teams that need consistent handling of georeferenced soil sampling and repeatable reporting across farms, not just a place to store PDFs. Sample ingestion is designed around lab-result workflows, then links results to field locations for mapping and reporting. Output support includes geospatial export formats used in GIS and planning tools, which reduces manual rework when moving between teams.
A key tradeoff is that deeper automation and analysis math depends on how soils layers and interpolation expectations are configured in the workflow, so governance and dataset hygiene matter. FarmQA works best when labs deliver standardized result fields and when each sampling event is tied to a consistent location scheme for reliable mapping.
- +Governed sample ingestion that keeps lab results tied to locations
- +Geospatial exports for downstream GIS and planning workflows
- +Repeatable reporting outputs for recurring field programs
- +Extensibility through dataset handoff patterns to other tools
- –Automation depth varies with configuration of analysis and mapping settings
- –Requires disciplined sampling metadata to avoid mapping inconsistencies
- –Collaboration controls need deliberate admin setup for multi-farm teams
Farm operations managers
Standardize lab results across districts
Faster, consistent field documentation
GIS and agronomy analysts
Send soil layers to planning tools
Less reformatting between systems
Show 1 more scenario
Sustainability reporting teams
Create auditable field data packages
More repeatable compliance packets
Use structured result history to generate consistent reports for recurring programs.
Best for: Fits when agronomy teams need consistent lab-to-map workflows across farms and GIS export handoffs.
MySoil
vertical specialistConsumer-oriented soil testing platform with app-based result access and amendment recommendations.
Campaign-level reporting that keeps sample metadata and interpretation settings tied to each field.
MySoil organizes georeferenced sampling records, lab outputs, and interpretation settings into repeatable field reports. It covers common property visualizations for agronomic decision support, with exportable reports and map views designed for field-level discussion. Data import is oriented around lab result reuse, so recurring sampling programs keep the same output structure year to year. The software also supports aggregation of results across zones to reduce manual spreadsheet work.
A key tradeoff is that MySoil’s automation centers on interpretation and reporting rather than end-to-end variable rate prescription generation. It fits best when a team needs to standardize how lab results become maps and documentation for each sampling campaign. For example, lab data can be ingested with sample identifiers, then converted into consistent property maps for zone review before any field operations planning.
- +Structured ingestion of lab results tied to sample metadata
- +Consistent property mapping and campaign reporting workflows
- +Zone aggregation reduces manual spreadsheet reconciliation
- +Exportable outputs support internal farm documentation
- –Limited workflow depth for variable rate prescriptions
- –Advanced analysis settings require careful interpretation choices
Farm agronomy teams
Lab results converted into field maps
Clear zone-specific recommendations
Soil sampling coordinators
Repeat sampling program documentation
Fewer spreadsheet handoffs
Show 2 more scenarios
Agronomic consultants
Client-ready soil property reports
Faster client deliverables
Generate consistent reports for multiple fields using the same workflow.
Operations managers
Zone aggregation for planning meetings
Quicker internal alignment
Summarize property results by management zone to align stakeholders.
Best for: Fits when farm teams standardize lab-to-map reporting with repeatable field documentation.
Ag Leader SMS
vertical specialistDesktop precision agriculture software with soil sampling, fertility mapping, and field data analysis.
SMS keeps soil sampling attributes tightly coupled to location for map-ready outputs across the same working dataset.
Ag Leader SMS pairs soil analysis workflows with field-ready data handling for agronomy teams who already use Ag Leader hardware and formats. The software centers on georeferenced soil sampling records, lab result import workflows, and map generation for application planning.
SMS also supports exporting geospatial outputs such as shapefiles for use in prescription map pipelines. The strongest fit shows up when soil data needs to stay consistent from sampling through mapping and downstream GIS use.
- +Georeferenced soil sampling workflows that keep location and lab results linked
- +Shapefile export supports GIS and prescription map handoffs
- +Import pipelines for soil lab data reduce manual rekeying
- +Works well inside an Ag Leader hardware and software ecosystem
- –Higher setup effort than web-first tools for teams without existing data standards
- –Advanced mapping workflows can require operator familiarity with SMS conventions
- –Some data formats depend on specific integration paths rather than a single universal import
- –Collaboration controls are limited for organizations needing strong admin governance
Best for: Fits when agronomy teams need consistent soil data from sampling to GIS exports for prescription workflows.
Granular Insights
enterpriseDigital agronomy platform with soil sampling, scouting, and fertility decision support for crop operations.
Project-based mapping runs that preserve inputs and outputs for repeatable spatial prediction across seasons.
Granular Insights helps farm teams turn georeferenced soil sampling inputs into decision-ready prescription layers. The workflow centers on importing lab and field attributes, cleaning and aligning coordinates, then generating mapped outputs tied to soil properties.
It supports interpolation approaches for spatial prediction and exports formats used in common GIS and prescription tooling. Admin controls focus on managing access to projects and data artifacts so agronomy teams can collaborate without overwriting each other’s datasets.
- +End-to-end workflow from sample imports to mapped prescription layers
- +Spatial prediction workflow supports configurable interpolation choices
- +Audit-friendly project artifacts support repeatable mapping runs
- +Exports for GIS and prescription use reduce handoff friction
- –Advanced mapping settings can require agronomy and GIS coordination
- –Some lab data normalization steps demand consistent column naming
- –Borehole and horizon-grade digitization workflows are limited
- –Integration with sensor and non-lab time series needs extra setup
Best for: Fits when teams need consistent soil property mapping from lab and field samples into GIS-ready layers.
CropX
vertical specialistAgronomic analytics platform that combines in-field sensors with software for soil moisture and nutrient management.
Ongoing soil intelligence driven by in-field sensing tied to georeferenced grid sampling workflows.
CropX targets farm teams that manage soils and in-field decisions using sensor-driven soil intelligence tied to georeferenced sampling. It turns soil and electrical data into zone-level insights for variable-rate management planning and targeted agronomy actions.
The system centers on grid sampling workflows, map generation, and field-ready outputs for agronomy teams managing multiple locations. CropX also supports integrations that connect laboratory data and other agronomic inputs into ongoing soil maps and recommendations.
- +Sensor-led soil variation mapping reduces reliance on occasional lab sampling
- +Grid sampling workflows help standardize data collection across fields
- +Field-ready prescription map outputs support variable-rate planning
- +Integration paths exist for bringing lab results into ongoing soil maps
- –Requires disciplined field boundary setup for reliable georeferenced interpolation
- –Deeper custom analytics often needs external GIS or reporting work
- –Managing multiple soil layers demands consistent sampling and lab conventions
- –Automation beyond map generation depends on connected data sources
Best for: Fits when farm teams need sensor-informed zone maps and variable-rate outputs across many fields.
Teralytic
vertical specialistSoil intelligence platform with sensor-based analysis of moisture, salinity, temperature, and nutrient conditions.
Georeferenced soil mapping workflow that converts sampled inputs into exportable spatial layers with interpolation.
Teralytic focuses on turning lab and field soil observations into georeferenced layers for crop and management decisions. The workflow centers on creating soil maps from sampling inputs and supporting derived parameters used for agronomic interpretation.
It supports interpolation workflows and exportable outputs for downstream use in farming operations. The system is geared toward operational mapping rather than building custom soil models from scratch.
- +Georeferenced soil mapping workflow supports practical site-level decisions
- +Interpolation tools help convert sampled points into continuous surfaces
- +Export options support handoff to field operations and GIS workflows
- +Derived agronomic attributes are generated from provided soil inputs
- –Limited visibility into model controls compared with mapping-focused competitors
- –Requires consistent sampling and variable definitions to avoid questionable layers
Best for: Fits when farm teams need lab-driven soil maps that can be exported for operational use.
AgriWebb
SMBFarm and livestock management software with paddock records, compliance tracking, and soil related field data capture.
Field-to-record workflow that keeps sample metadata, paddock assignments, and lab results aligned for later mapping.
AgriWebb digitizes farm soil sampling workflows with field-ready forms and structured capture of sample context. It helps teams organize laboratory-ready soil results against sites and paddocks, then reuse those records across future sampling rounds.
The system’s grid and zone sampling planning supports consistent metadata collection for georeferenced mapping workflows. AgriWebb also supports exports for downstream analysis in common GIS and reporting processes.
- +Field forms reduce transcription errors when capturing soil sample context
- +Sampling plans and repeat rounds keep locations tied to paddocks over time
- +Exports support GIS and reporting workflows after analysis completes
- +Workflow structure keeps lab result records traceable to who sampled
- –Geospatial interpolation like kriging is not a native mapping engine
- –Advanced soil model inputs require external tools and manual handoff
- –Deep LIMS automation for lab systems is limited compared with lab-centric stacks
- –Maintaining consistent sample naming and QA rules needs team governance
Best for: Fits when farm teams need consistent soil sampling records and GIS-ready exports across repeat sampling rounds.
Agroptima
SMBFarm management software for field records, crop planning, and agronomic data tracking including soil related information.
Project-based soil mapping workflow that preserves processing steps from import through zone export.
Agroptima turns field soil sample data into map-ready layers by combining georeferenced sampling inputs with its analysis workflow. The solution supports soil property processing aligned to agronomic interpretations, including pH and electrical conductivity mapping outputs.
It also generates spatial exports suitable for downstream agronomy tasks, including zone-level outputs for prescription planning. Admin and governance controls are handled through standard user management and project separation within the application.
- +Produces map-ready soil layers from georeferenced sample inputs
- +Clear workflow separation between sample import, processing, and export
- +Exports support zone-level planning outputs for farm operations
- +Dataset management by project reduces cross-field contamination risk
- –Less automation depth than tools built for sensor and time-series ingestion
- –Advanced geospatial settings require careful configuration discipline
- –Limited visibility into intermediate interpolation settings during review
- –Nutrient modeling depth is narrower than soil-centric LIMS pipelines
Best for: Fits when farm teams need repeatable soil mapping from lab results and zone exports for prescriptions.
SMAG Farmer
enterpriseAgricultural management software with field data, decision support, and agronomic record modules.
Spatial generation of soil property surfaces from georeferenced sampling inputs with configurable interpolation for planning outputs.
SMAG Farmer is a soil analysis workspace built for agronomy teams that need consistent soil data handling from sampling to maps. It supports georeferenced workflows for compiling lab or field inputs and generating spatial outputs such as pH and electrical conductivity mapping and nutrient interpolation surfaces.
The system is geared toward operational repeatability, with configurable project templates and export-ready outputs for downstream agronomy and compliance processes. Integration depth and automation depend on the availability of import formats for the originating lab or GIS pipeline and on the project configuration used for recurring site programs.
- +Georeferenced mapping workflow for soil properties from sampling points to surfaces
- +Interpolation-based outputs suitable for zone planning and agronomy summaries
- +Repeatable project configuration for recurring farm or region programs
- +Export-ready map products for handoff into farm GIS and planning steps
- –Less visible automation surface compared with tools that offer deeper API-first workflows
- –Works best when input coordinates and sampling definitions are consistent
- –Limited flexibility when lab data arrive in formats that need heavy preprocessing
- –Governance controls like RBAC and audit logging were not clear for enterprise workflows
Best for: Fits when agronomy teams need recurring soil mapping from consistent sampling data and predictable exports.
Conclusion
After evaluating 10 agriculture farming, Agrivi stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right soil analysis software
Soil analysis software in this guide centers on workflows that keep soil records tied to field locations from sampling and lab ingestion through map-ready outputs, so Agrivi leads with its georeferenced sampling-to-results workflow for repeat seasons. This ranking also includes Farm IQ and Taranis for farm-team comparisons, with CropX positioned around sensor-informed soil variation mapping and variable-rate zone outputs.
The tools reviewed here split into two practical camps. Some emphasize governed lab-to-map reporting and GIS export handoffs like FarmQA, while others focus on mapping engines and interpolation-driven surface generation like Teralytic. Several also separate sample capture and later export steps to reduce transcription errors and preserve paddock or zone context across rounds, as seen in AgriWebb.
Soil analysis software for georeferenced sampling-to-map workflows
Soil analysis software organizes soil sampling records, lab results, and spatial definitions so teams can convert point or zone samples into consistent soil property layers for operational decisions. Agrivi, for example, keeps soil test records connected to field locations so historical campaigns remain reusable across repeat seasons.
In practice, these platforms vary by automation depth and how they carry analysis settings from ingestion to exports. FarmQA focuses on governed sample ingestion and controlled reporting outputs that reduce manual reconciliation after sampling, while CropX emphasizes ongoing soil intelligence tied to in-field sensing and grid sampling workflows that support zone maps at scale.
Category feature checklist for soil analysis software workflows
Soil analysis software has to keep sample metadata tied to georeferenced locations from capture through lab ingestion so teams can reuse campaigns and compare results across rounds. This guide prioritizes tools that preserve that location link during processing, reporting, and GIS export.
The main differentiators are how much automation exists around mapping setup and how much the platform exposes control over interpolation outputs and export formats. Agrivi leads with a georeferenced sampling-to-results workflow for repeat seasons, while FarmQA emphasizes governed lab ingestion and controlled reporting outputs.
Georeferenced sampling tied to results for repeat seasons
Agrivi is built around a georeferenced sampling-to-results workflow that keeps soil records connected to field locations for repeat seasons. Teralytic also centers on a georeferenced mapping workflow that converts sampled inputs into exportable spatial layers.
Governed lab ingestion with location-linked outputs
FarmQA supports location-linked lab ingestion with controlled reporting outputs that reduce manual reconciliation after sampling. AgriWebb aligns field forms, paddock assignments, and lab results so later mapping uses the same context across rounds.
Campaign-level reporting that preserves field settings
MySoil uses campaign-level reporting that keeps sample metadata and interpretation settings tied to each field. Granular Insights preserves inputs and outputs within project-based mapping runs so repeat spatial prediction stays consistent across seasons.
GIS export formats and handoff readiness for prescription workflows
Ag Leader SMS produces map-ready outputs from georeferenced soil sampling workflows and includes shapefile export for GIS and prescription map handoffs. CropX supports grid sampling workflows for standardized data collection and outputs intended for zone maps at scale.
Mapping engines and interpolation controls for surfaces
Teralytic emphasizes interpolation tools that convert sampled points into continuous surfaces. SMAG Farmer generates soil property surfaces with configurable interpolation for planning outputs.
Workflow separation that reduces transcription errors
AgriWebb uses a field-to-record workflow with sampling plans and repeat rounds to keep locations tied to paddocks over time. Agroptima separates sample import, processing, and zone export to preserve processing steps from import through export.
How to choose soil analysis software for mapping, governance, and automation
Start by choosing the workflow shape that matches how sampling and lab results land in the operation. Some tools keep sampling and results connected so campaigns stay reusable, while others focus on governed ingestion so reporting stays consistent across farms and handoffs.
Then select the automation depth that matches internal GIS capacity. CropX and Granular Insights expect disciplined boundary and interpolation choices, while AgriWebb and FarmQA shift effort toward metadata capture and governed outputs that reduce post-sampling reconciliation.
Pick the workflow philosophy that matches sampling reality
Choose Agrivi if repeat seasons depend on keeping soil test records connected to the same georeferenced field locations. Choose AgriWebb if the operation needs field forms that keep paddock assignments aligned with lab results before later mapping.
Match lab ingestion control to reconciliation needs
Choose FarmQA if lab ingestion needs governance so sample results stay tied to locations with controlled reporting outputs. Choose MySoil if campaign reporting must tie sample metadata and interpretation settings to each field so historical campaigns remain comparable.
Decide who controls mapping configuration and interpolation outcomes
Choose Teralytic if mapping teams need interpolation tools that convert sampled points into continuous surfaces and want exportable spatial layers. Choose Granular Insights if the mapping process should be repeatable through project-based runs that preserve inputs and outputs for configurable interpolation choices.
Set GIS handoff requirements before evaluating outputs
Choose Ag Leader SMS when shapefile export and prescription map handoffs are a primary requirement for map-ready workflows. Choose Agroptima when zone exports must preserve a clear workflow separation from georeferenced sample import through processing to export.
Confirm whether sensing and grid workflows fit the operation
Choose CropX when ongoing soil intelligence depends on in-field sensing tied to georeferenced grid sampling workflows. Choose SMAG Farmer when recurring soil mapping needs interpolation-based surfaces from consistent sampling data and predictable exports.
Who should use soil analysis software in this guide
Soil analysis software targets farm teams that must turn georeferenced soil sampling and lab ingestion into map-ready outputs for operational decisions. The fit depends on whether the biggest pain is campaign repeatability, lab-to-map reconciliation, or interpolation and export workflows.
Some platforms focus on governed ingestion and structured reporting, while others center on mapping engines that generate continuous surfaces from sampled points. Agrivi is the lead fit for repeatable, location-aware soil test workflows, and CropX is the lead fit for sensor-informed zone maps at scale.
Farm teams standardizing recurring soil testing across seasons
Agrivi fits when repeat seasons require georeferenced sampling-to-results continuity so historical records remain connected to the same field locations. MySoil also fits when campaign reporting must preserve interpretation settings per field.
Agronomy teams running lab-to-map workflows across multiple farms
FarmQA fits when governed sample ingestion must reduce manual reconciliation by keeping lab results tied to locations with controlled reporting outputs. Farm IQ comparisons in this guide emphasize consistent GIS export handoffs and configuration discipline.
GIS-focused agronomy teams building variable-rate prescription layers
Ag Leader SMS fits when shapefile export is needed for GIS and prescription map handoffs with georeferenced soil sampling workflows. Granular Insights fits when project-based mapping runs must preserve inputs and outputs for repeatable spatial prediction.
Operations relying on sensor-driven soil variation mapping
CropX fits when soil variation mapping depends on ongoing sensing tied to georeferenced grid sampling workflows. This approach shifts effort toward boundary setup so interpolation stays reliable.
Teams that need planning surfaces and zone exports from interpolation engines
Teralytic fits when lab-driven soil maps must become exportable spatial layers using interpolation tools. SMAG Farmer fits when predictable exports need configurable interpolation surfaces for planning.
Common soil analysis software pitfalls
Teams often fail when sampling metadata discipline is weaker than mapping or reporting complexity. Tools that depend on location accuracy will produce questionable layers when sampling points are inconsistent, and tools that depend on metadata configuration will produce inconsistent outputs when fields lack disciplined definitions.
Most failures show up as reconciliation work after lab ingestion or as interpolation outputs that do not match internal expectations for zone planning. The mistakes below map to the failure modes surfaced across the tools in this guide.
Using inconsistent sampling coordinates and then trusting interpolation-heavy outputs
Agrivi depends on spatial interpretation that follows sampling location accuracy, and Teralytic depends on consistent sampling and variable definitions to avoid questionable layers.
Treating automation settings as optional when lab results must map cleanly to field context
FarmQA automation depth varies with configuration of analysis and mapping settings, so weak sampling metadata leads to mapping inconsistencies. MySoil also needs careful interpretation choices for advanced analysis settings.
Assuming variable rate prescription layers come from soil mapping alone
MySoil has limited workflow depth for variable rate prescriptions, which increases interpretation work outside the platform. AgriWebb does not provide kriging as a native mapping engine, so teams planning advanced interpolation must plan external handoff.
Overlooking export format and GIS convention requirements until late in the workflow
Ag Leader SMS includes shapefile export, and SMS workflows can require familiarity with SMS conventions for advanced mapping. CropX expects disciplined field boundary setup for reliable georeferenced interpolation, so boundary issues surface as map errors.
How We Selected and Ranked These Tools
We evaluated Agrivi, FarmQA, MySoil, Ag Leader SMS, Granular Insights, CropX, Teralytic, AgriWebb, Agroptima, and SMAG Farmer against workflow fit from sampling capture and lab ingestion to map-ready outputs. Features accounted for 40 percent of the score based on how consistently the platform connects location-aware sample records to reporting and export workflows, with Agrivi scoring highest because its georeferenced sampling-to-results workflow keeps soil records connected to field locations for repeat seasons.
Ease and value each contributed 30 percent based on how much setup effort the workflow requires and how repeatable the organization is across campaigns and mapping runs, with Agrivi also leading on recurring sampling organization that reduces re-entry of historical data. This scoring also treated GIS handoff readiness and mapping engine depth as differentiators, where FarmQA emphasized governed lab ingestion and controlled reporting and CropX emphasized in-field sensing tied to grid sampling workflows.
Frequently Asked Questions About soil analysis software
How do Agrivi and FarmQA handle georeferenced lab results differently for field-ready decisions?
Which tool is better when grid and zone sampling planning must stay consistent across seasons?
What breaks if a lab export uses inconsistent units or missing method metadata when using FarmQA or MySoil?
How do CropX and Teralytic differ when sensor-informed zone decisions must connect to soil mapping outputs?
When does Ag Leader SMS fall short versus Agroptima for downstream GIS or prescription map pipelines?
How do FarmQA and Granular Insights support GIS handoffs for variable-rate workflows?
Which admin controls and collaboration controls matter most when multiple agronomy teams work on the same dataset?
How does geospatial coordinate cleanup affect outputs in Granular Insights compared with Agrivi?
What security expectations should teams map to RBAC and audit logging when evaluating soil analysis platforms like CropX and SMAG Farmer?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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