
GITNUXSOFTWARE ADVICE
Agriculture FarmingTop 10 Best Farming Software of 2026
Top 10 farming software tools ranked by features and costs for farm managers. Includes Farmit, Croptracker, and FarmERP comparisons.
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
Farmit is the best fit when Canadian farms need one integrated workspace for production records and accounting, while Croptracker is the smoother alternative if specialty-crop teams prioritize coordinated harvest and labor tracking, and if you want a low-cost entry, AgroVIR can work where controlled roles and traceability matter.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Farmit
Canadian farm accounting linked directly to operational records for crops, livestock, inventory, equipment, and labor.
Built for fits when Canadian farms need accounting and production records in one operational workspace..
Croptracker
Editor pickLot-level traceability linking field activities, harvest quantities, packing steps, inventory, and shipments.
Built for fits when specialty-crop teams need coordinated labor, harvest, packing, and shipment records..
FarmERP
Editor pickConfigurable farm-to-fork workflow engine connecting production, procurement, processing, sales, and compliance records.
Built for fits when multi-site agribusinesses need coordinated production, procurement, processing, sales, and finance workflows..
Related reading
Comparison Table
Farmit
SMBIntegrated farm ERP platform combining field mapping, crop management, soil analysis, payroll, and inventory.
Canadian farm accounting linked directly to operational records for crops, livestock, inventory, equipment, and labor.
Farmit combines financial transactions with crop, livestock, inventory, equipment, and labor records. Managers can assign activities to fields, record inputs and harvests, monitor work completion, and review enterprise-level performance. The shared record structure gives accountants and farm operators access to the same operational data.
The main tradeoff is limited extensibility for farms that require custom integrations or advanced machine-data ingestion. Farmit fits mixed farms that want one workspace for production records and financial administration without assembling several disconnected applications.
- +Connects farm accounting with operational production records
- +Supports field activity, input, harvest, and inventory records
- +Canadian-focused workflows suit local farm administration
- +Mobile entry supports records captured during fieldwork
- –Custom integrations lack a prominently documented public API
- –Advanced machinery telemetry coverage is limited
- –Complex multi-entity farms may require careful configuration
- –Reporting depth can depend on consistent data entry
Mixed farm operators
Coordinate crop and livestock records
Unified operational reporting
Farm accountants
Reconcile production and financial activity
Fewer reconciliation gaps
Show 2 more scenarios
Field supervisors
Capture work during field operations
More current records
Mobile entry records completed activities, inputs, labor, and harvest details close to the time of work.
Farm management teams
Review enterprise performance
Clearer management decisions
Managers can compare activity, inventory, and financial information across fields, enterprises, and operating periods.
Best for: Fits when Canadian farms need accounting and production records in one operational workspace.
More related reading
Croptracker
vertical specialistCrop management software for production records, harvest tracking, food safety, and labor data.
Lot-level traceability linking field activities, harvest quantities, packing steps, inventory, and shipments.
Growers can assign work, capture labor hours, record applications, monitor crop conditions, and attach activities to fields or blocks. Harvest data can flow into lot, bin, packhouse, and shipment records, giving managers a usable chain for recalls and customer inquiries. Mobile data capture supports crews working away from the office.
The tradeoff is breadth across specialty-crop operations rather than deep machinery telematics or precision application workflows. A berry, orchard, or vegetable business with seasonal crews can use Croptracker to coordinate picking, validate quantities, and reconcile packed inventory.
- +Connects field activities with harvest lots and packing workflows.
- +Mobile time tracking supports seasonal and piece-rate labor.
- +Food-safety checklists and recall data support operational accountability.
- +Inventory controls extend from bins to packed product.
- –Less suited to machinery telematics and precision application workflows.
- –Broad configuration can require disciplined setup across teams.
- –Postharvest workflows demand consistent lot and packhouse data entry.
- –Reporting depth depends on clean operational records.
Orchard operators
Harvest and packing coordination
Fewer untracked product movements
Vegetable growers
Seasonal labor tracking
Cleaner labor and output data
Show 1 more scenario
Food safety managers
Recall preparation
Faster lot-level investigations
Teams retrieve lot histories across fields, harvest activity, packing events, and shipments.
Best for: Fits when specialty-crop teams need coordinated labor, harvest, packing, and shipment records.
FarmERP
enterpriseAgriculture management software for farm planning, production, supply chains, and enterprise reporting.
Configurable farm-to-fork workflow engine connecting production, procurement, processing, sales, and compliance records.
FarmERP combines crop planning, task assignment, input inventory, purchase orders, sales, accounting, and reporting across multiple farms. Mobile apps let staff record field activities and harvest data, while dashboards aggregate operational status for managers. Configurable permissions and approval flows provide administrative control for organizations with separate farm, procurement, and finance teams.
FarmERP's breadth creates a clear tradeoff because smaller farms may face more configuration than needed for daily field records. A vertically integrated grower can connect production schedules with procurement, packhouse activity, customer orders, and traceability records.
- +Connects production operations with procurement, processing, sales, and distribution records.
- +Supports multi-farm planning through centralized dashboards and role-based access.
- +Mobile workflows capture field tasks, inspections, and harvest information.
- +Configurable approvals support separate farm, purchasing, and finance responsibilities.
- –Broad module coverage can require substantial master-data and workflow configuration.
- –Connector scope may require project-specific work for machinery and sensor data.
- –Interface density can slow onboarding for field staff with limited software experience.
- –Single-farm operators may find supply-chain modules excessive for basic recordkeeping.
Commercial farming groups
Coordinating multi-site production
Unified operational visibility
Food processors and aggregators
Linking farms to processing
Connected supply-chain records
Show 1 more scenario
Agricultural cooperatives
Managing member deliveries
Coordinated member operations
Cooperative staff coordinate grower production data, intake records, purchasing activities, and customer fulfillment.
Best for: Fits when multi-site agribusinesses need coordinated production, procurement, processing, sales, and finance workflows.
xarvio FIELD MANAGER
vertical specialistDigital farming software for crop monitoring, field scouting, treatment decisions, and agronomic planning.
In-season scouting capture tied to field geometry so observations stay connected to field plans and subsequent actions.
xarvio FIELD MANAGER is a farming software solution centered on field-by-field operational planning and agronomic documentation for arable workflows. It combines prescription-ready records with imagery and in-season scouting inputs so teams can tie actions to specific fields and dates.
Built around farm field boundaries, it supports importing and updating field outlines and using that geometry across planning, tasks, and reporting. Automation focuses on turning agronomic insights and planned actions into work sequences that can be tracked through the season.
- +Field-boundary driven planning keeps records aligned to the correct geography
- +In-season scouting notes connect observations to follow-up actions
- +Task and work sequence tracking supports seasonal execution without spreadsheets
- +Integration-oriented field geometry import reduces rework when joining new farms
- –Advanced workflow tailoring can require administrator training
- –Reporting depth depends on how agronomic data is captured during scouting
- –Some precision agriculture layers may require external data sources to be complete
- –Cross-farm standardization can be harder when field naming conventions differ
Best for: Fits when farm teams need field-scoped agronomic planning with in-season scouting records and trackable tasks.
John Deere Operations Center
enterpriseCloud software for farm planning, machine management, field records, and agricultural data.
Machine-to-field record linking that preserves operation timelines around John Deere equipment activity inside shared farm workspaces.
John Deere Operations Center records field and machine activities in one place so teams can track work history, documents, and planned tasks for John Deere equipment. It centers on integrating equipment and agronomy data into shared field context, including field boundary handling and field-level operations timelines.
Core capabilities include managing planting and harvest records, storing scouting and other agronomic notes, and linking those records to connected John Deere machinery data when available. Admin controls support user access management across projects and organization structures, which helps keep operational data separated by farm and team.
- +Ties work history and field records to John Deere machine context
- +Field boundary management keeps operations aligned to the same spatial units
- +Document storage and project organization reduce scattered spreadsheets
- +User access controls support separated farm and team spaces
- –Depth of features depends on connected John Deere data availability
- –Automation and API access require coordination with Deere ecosystem workflows
- –Export formats can require extra steps for non Deere FMIS integrations
- –Role setup can become time consuming across many farm units
Best for: Fits when John Deere operations teams need connected machine history tied to field records for planning and reporting.
AgriWebb
vertical specialistLivestock and farm management software for planning, compliance, grazing, and record keeping.
Asset-linked farm diary that keeps events, notes, and outcomes tied to specific animals and dates.
AgriWebb is a farm management system that centers on daily farm activities, animal records, and mobile field capture. Its core workflow ties work orders, observations, and health or compliance notes to specific assets and dates, with exportable record histories.
Crop and field planning are present but the primary focus stays on operational records and traceability-style documentation rather than precision agronomy controls alone. Data exchange and automation depend on the platform’s integration and export options rather than a broad precision-ag stack.
- +Mobile data capture for daily farm tasks and asset-linked records
- +Built-in traceability history for animals, events, and operational notes
- +Work order and observation logging that supports consistent field documentation
- +Structured record export for reporting and downstream record keeping
- –Crop and field mapping depth is limited versus precision agriculture specialists
- –External system automation depends more on exports than a wide API surface
- –Precision workflows like prescription map handling are not a primary focus
- –Complex governance across large multi-location teams needs deliberate role design
Best for: Fits when livestock operations need consistent daily recording and traceability with mobile-first workflows.
Agworld
enterpriseCollaborative farm management platform for agronomic planning, financial performance, and compliance readiness.
Scouting and pest and disease monitoring workflows attach observations to specific fields and dates for traceable action history.
Agworld differentiates through farm-task focus built around grower collaboration and field-level execution records. The system supports planting and harvesting documentation, scouting notes, and pest and disease monitoring workflows tied to specific fields and time windows.
Agworld also handles crop planning inputs and integrates mapping and imagery for field context, which reduces manual cross-referencing between agronomy notes and field boundaries. Admin tooling centers on user roles, permissions for shared work, and traceable activity around recorded farm operations.
- +Field-linked scouting records reduce context switching between notes and locations
- +Crop planning inputs connect agronomy schedules to later harvest documentation
- +Collaboration workflows support shared field execution with controlled access
- +Mapping and imagery context helps validate which field a record belongs to
- –Deep precision agriculture outputs like VRA prescription maps are limited
- –Integrations outside the core agronomy workflow can require careful setup
- –Automation depth depends on configuration patterns rather than flexible triggers
- –Large multi-farm rollups can feel operationally heavy without governance discipline
Best for: Fits when agronomy teams need field-level task tracking and scouting records with shared workflows.
AgroVIR
enterpriseIndependent farm management software tracking operations, cost allocations, and profitability with ERP integration.
Lot-level traceability records tie field activities and agronomic notes to production outcomes for audit-style handoffs.
AgroVIR targets farm management workflows with emphasis on crop and field record keeping tied to operational tasks. The core capabilities center on planning and documentation for field work, scouting, and harvest-related entries that teams can review and reuse across seasons.
AgroVIR also focuses on traceability records for production lots so agronomic notes and outcomes stay connected to field activity. Admin controls and governance are oriented around managing users and permissions for operational visibility across farm locations.
- +Task-linked field records keep work notes attached to the right operation
- +Traceability records connect agronomic inputs and outcomes to production lots
- +Planning and documentation flows support seasonal continuity across teams
- +Permissioned access helps separate field entry from review roles
- –API and integration depth for precision agriculture data exchange is unclear
- –Field boundary workflows are limited compared with dedicated GIS-first tools
- –Automation coverage for cross-field decision support is less comprehensive than specialists
- –Export and interoperability options for spatial workflows need tighter documentation
Best for: Fits when farms need consistent field work documentation, traceability records, and controlled user roles.
Granular
enterpriseFarm business management software by Corteva Agriscience for planning, execution, and profitability analysis.
Granular activity history ties agronomy notes, actions, and documents to specific fields and seasons for traceable execution.
Granular centers farm data capture and field-level decision workflows around agronomy documents, activity logs, and parcel context. It supports crop planning workflows, planting and scouting recordkeeping, and task-driven execution tied to fields and seasons.
The product also integrates agronomic services data into a consistent workflow so teams can review what was done, when it was done, and where results are expected. Granular is most distinctive for turning scattered field records into an operational audit trail that supports ongoing farm-to-field continuity.
- +Field-based workflow for agronomy actions and related documents
- +Clear task records tied to season and field context
- +Strong recordkeeping for scouting and operational history
- +API-focused integration paths for farm data movement
- –Setup and data onboarding require disciplined field and season mapping
- –Limited depth for machinery and work execution details compared with telematics-first tools
- –Variable-rate workflow coverage can be narrower than GIS-centric systems
- –Reports are more operational than deep agronomic analytics
Best for: Fits when teams need field-centric execution records and agronomy workflow control across seasons.
FarmIQ
vertical specialistNew Zealand farm management system combining recording, predictive modelling, and whole-farm system visibility.
Record entry tied to operational tasks to maintain season-long context without stitching data across separate modules.
FarmIQ is a New Zealand farm management software built around day-to-day farm records and task-linked workflows. It supports field operations logging and structured agronomy notes so scouting, treatments, and harvest activities can be traced through the season.
FarmIQ also focuses on making information usable for multiple roles on the farm, including farm teams that need consistent record entry. Its strongest fit is farms that want practical workflow automation inside a shared workspace rather than importing complex external systems for every data source.
- +Task-linked farm records reduce rework during seasonal operations
- +Clear workflows for logging agronomy events and activities
- +Designed for shared farm entry so multiple roles use one history
- +Practical structure for keeping seasonal continuity across paddocks
- –Limited evidence of deep precision agriculture integrations beyond farm logging
- –Less suitable for complex field mapping and geospatial-centric planning workflows
- –Automation depth feels narrower than systems built for heavy integration
- –Advanced governance controls like RBAC and audit logs are not prominent
Best for: Fits when farm teams need consistent operational records and simple workflow automation across paddocks.
Conclusion
After evaluating 10 agriculture farming, Farmit 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 farming software
Farming software choices span accounting and operational records like Farmit, lot-level traceability with Croptracker, and multi-site production through sales workflows with FarmERP. Other options focus on in-season execution capture tied to field geography such as xarvio FIELD MANAGER, or equipment-linked field history inside John Deere Operations Center.
Livestock operations prioritize asset-linked daily recording and traceability in AgriWebb, while agronomy teams often compare scouting and pest and disease monitoring workflows in Agworld. Traceability and audit-style handoffs show up in AgroVIR, and field-centric execution history is the core of Granular and FarmIQ.
Farming software for operational records, field execution, and traceability across crops and livestock
Farming software is the system where farm teams log operational activity, connect those records to fields or assets, and carry the resulting traceability into harvest, packing, shipments, or compliance workflows. Farmit ties farm accounting directly to operational records for crops, livestock, inventory, equipment, and labor, while Croptracker connects field activities to harvest lots and packing steps.
Teams also use farming software to manage execution context across a season, including how observations and tasks stay attached to the correct geography or production units. Tools like xarvio FIELD MANAGER keep scouting notes linked to field geometry so follow-up actions remain traceable to the original field plan, while FarmERP connects production, procurement, processing, sales, and compliance records in a configurable workflow engine. The practical evaluation centers on integration depth, automation and API surface, and governance controls like role-based access in multi-farm setups.
Farm software features that connect work records to traceability
Farming software earns practical value when it keeps operational notes attached to the production unit that later decisions reference. Farmit links farm accounting to crop, livestock, inventory, equipment, and labor records, so finance and execution stay aligned in one operational workspace.
Field-centric traceability matters because agronomic history usually hinges on the correct field and the correct lot. Croptracker ties field activities, harvest quantities, packing steps, inventory, and shipments into lot-level traceability, while xarvio FIELD MANAGER keeps scouting capture bound to field geometry so observations remain connected to the field plan and follow-up tasks.
Operational record binding across modules
Farmit connects farm accounting with operational production records for crops, livestock, inventory, equipment, and labor. FarmERP uses a configurable farm-to-fork workflow engine to connect production, procurement, processing, sales, and compliance records across the enterprise.
Lot-level and packing traceability
Croptracker creates lot-level traceability that links harvest lots through packing workflows, inventory, and shipments. AgroVIR provides traceability records that tie field activities and agronomic notes to production lots for audit-style handoffs.
Field geometry anchored scouting and actions
xarvio FIELD MANAGER binds in-season scouting capture to field geometry and ties observations to field plans and subsequent actions. Agworld attaches scouting and pest and disease monitoring workflows to fields and dates so teams can follow a traceable action history.
Asset-linked livestock daily recording
AgriWebb stores a mobile-first farm diary with events, notes, and outcomes tied to specific animals and dates. AgriWebb also includes built-in traceability history for animals, events, and operational notes that support consistent daily documentation.
Multi-site governance with role-based access and planning
FarmERP supports multi-farm planning through centralized dashboards and role-based access, which keeps the same workflow engine consistent across locations. FarmERP’s breadth of module coverage requires master-data and workflow configuration to match each site’s operating model.
Machine-to-field work history inside a vendor ecosystem
John Deere Operations Center links machine activity timelines to field records using John Deere equipment context in shared farm workspaces. Depth depends on connected John Deere data availability, and automation and API access require coordination with the Deere ecosystem workflows.
How to choose farming software by integration depth and workflow control
Start with the unit of truth that must persist through the season. If accounting and operations need the same record backbone, Farmit ties farm accounting directly to operational records, while if production, procurement, processing, and sales must share one workflow engine, FarmERP provides that configurable farm-to-fork workflow structure.
Next, map the traceability chain that downstream teams will actually use. For lot and packing, Croptracker connects field work to harvest lots and packing steps into shipments, while for in-season scouting tied to field plans, xarvio FIELD MANAGER keeps field-boundary driven planning and observation-to-action links. For livestock, AgriWebb’s asset-linked farm diary keeps daily recording attached to animals and dates, and for execution history across seasons, Granular centers field-based agronomy action records tied to season and field context.
Choose the traceability object that must remain consistent
Decide whether traceability must follow lots, fields, animals, or machine activity because Croptracker organizes around lot-level traceability from field to packing and shipments. Decide whether traceability must follow fields and geometry because xarvio FIELD MANAGER binds scouting notes to field boundaries tied to the field plan.
Select a workflow shape that matches how the farm operates
If the business needs production, procurement, processing, sales, and compliance records linked through a workflow engine, FarmERP provides a configurable farm-to-fork workflow engine. If teams mostly need structured execution logging tied to operational tasks and documents, Granular uses field-based workflow records tied to season and field context.
Stress-test the automation and extensibility surface
If machinery and sensor data integration is central, John Deere Operations Center ties work history to field records but automation and API access depend on coordination with Deere ecosystem workflows. If integrations must be custom, Farmit supports operational-record linkage but custom integrations lack a prominently documented public API, which can limit automation throughput.
Match mobile capture to the daily work cadence
If daily animal events and outcomes must be captured consistently on mobile with traceability to specific animals and dates, AgriWebb’s asset-linked farm diary fits the daily capture workflow. If scouting capture must stay attached to field plans and later actions, xarvio FIELD MANAGER and Agworld both connect observations to fields and follow-up tasks.
Plan governance before rolling out across teams and fields
For multi-farm and multi-role organizations, FarmERP provides role-based access in addition to centralized dashboards, but module coverage requires disciplined master-data and workflow configuration. For broad configuration tools like Croptracker, setup discipline across teams determines whether work stays correctly coordinated across field, harvest, packing, and shipments.
Who farming software fits best by operational need
Farm teams should match software to the operational record spine that must survive the season. Precision agriculture teams often prioritize field geometry anchored observations, while specialty-crop operations focus on harvest lots and packing workflows.
Livestock operations typically need asset-linked daily recording, and agribusiness groups that run multiple sites need workflow coordination across production, procurement, processing, and sales records. Tools also differ by how strongly they bind activity timelines to field or machine context, which changes reporting expectations for operators and planners.
Canadian crop and livestock businesses that need accounting tied to execution
Farmit is built to link farm accounting directly to operational records across crops, livestock, inventory, equipment, and labor. That structure reduces the need to reconcile accounting entries with separate production logs.
Specialty-crop and packing teams running lot-by-lot operations
Croptracker ties field activities through harvest quantities, packing steps, inventory, and shipments into lot-level traceability. Mobile time tracking also supports seasonal labor recording for harvest and packing periods.
Multi-site agribusiness groups managing end-to-end production through distribution
FarmERP connects production operations with procurement, processing, sales, and distribution records through a configurable workflow engine. Centralized dashboards and role-based access support coordinated planning across farms.
Agronomy teams that run in-season scouting with field plans and follow-up actions
xarvio FIELD MANAGER keeps scouting capture tied to field geometry so observations stay connected to field plans and subsequent actions. Agworld similarly attaches scouting and pest and disease monitoring workflows to fields and dates for traceable action history.
Livestock operators that need consistent daily animal-level traceability
AgriWebb records events and outcomes in an asset-linked farm diary tied to specific animals and dates. Mobile-first capture keeps daily documentation consistent across routines and pasture or housing contexts.
Common pitfalls when evaluating farming software for execution and traceability
Many evaluation failures happen when the traceability chain in the workflow does not match how the farm actually records work. A tool can look complete on features while still misaligning field, lot, and operational records for downstream reporting needs.
Other failures come from governance gaps that appear after rollout. Broad module coverage and configuration-driven workflow engines require master-data alignment, while scouting and execution tools may require administrator training to tailor workflows that teams can use consistently.
Choosing lot traceability tooling but planning reporting around field-based scouting outcomes only
Croptracker excels at connecting field activities to harvest lots and packing steps, so it fits lot-to-shipment traceability chains. If scouting workflows must remain tightly bound to field geometry and follow-up actions, xarvio FIELD MANAGER aligns observations to field plans more directly.
Underestimating configuration and master-data work in multi-module workflow engines
FarmERP’s broad module coverage requires substantial master-data and workflow configuration to connect production, procurement, processing, sales, and compliance records. That governance load can slow rollout unless field boundaries, crop lists, and operational processes are standardized before team adoption.
Treating machine telemetry as universally supported without checking ecosystem dependencies
John Deere Operations Center preserves operation timelines using John Deere machine context, but feature depth depends on connected John Deere data availability. Automation and API access require coordination with Deere ecosystem workflows, which can block integrations that depend on non-Deere telemetry sources.
Selecting a farming diary for livestock but expecting deep crop or geospatial planning
AgriWebb includes crop and field mapping depth that is limited compared with precision agriculture specialists. Precision field mapping and geospatial-centric planning workflows are better matched to field geometry driven tools like xarvio FIELD MANAGER.
Onboarding field and season mapping without setting governance for execution records
Granular’s setup and data onboarding require disciplined field and season mapping so records remain traceable across time. Without that mapping discipline, field-centric execution history can become harder to query by season and field context.
How We Selected and Ranked These Tools
We evaluated how each product connects operational capture to downstream traceability outputs in crop, livestock, and enterprise workflows. Features carried 40% weight because Farmit’s linking of farm accounting to operational records and Croptracker’s lot-level traceability with packing and shipments represent concrete workflow coverage.
Ease and value each carried 30% because xarvio FIELD MANAGER’s field geometry anchoring reduces context switching for scouting notes and John Deere Operations Center’s machine-to-field record linking can work cleanly inside the Deere ecosystem. Farmit separated itself by combining Canadian farm accounting with operational production records for crops, livestock, inventory, equipment, and labor in one workspace while maintaining strong overall ease and value scores.
Frequently Asked Questions About farming software
Which farming software tools support field-by-field geometry so tasks and scouting stay linked to the same boundaries?
How do integrations and exports work when equipment data or postharvest events must land in the same record set?
What breaks if a farm needs lot-level traceability from field work through packing and shipment?
When is it better to choose task-driven field execution over daily operational diaries?
How does each tool handle multi-site operations where procurement, processing, sales, and finance need shared visibility?
Which options provide admin controls that keep user access separated by project or farm team?
How should a farm plan data migration when historical records span fields, lots, animals, and documents?
Where does extensibility matter when agronomy documents and external services must attach to the same workflow?
Which tool is best for scouting workflows where observations must be traceable to subsequent actions and dates?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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