
GITNUXSOFTWARE ADVICE
Agriculture FarmingTop 10 Best Fish Software of 2026
Ranked top 10 fish software for aquaculture teams with feature and pricing comparisons, including ReelData, Fishtek, and AKVA Group Software.
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
ReelData is the best fit for aquaculture teams who need governed, traceable event records with reliable API sync, while Fishtek works better if you want lifecycle cohort movement and daily farm planning handled inside one vertical system.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
ReelData
Event lineage with field-level audit history links operational changes to lot outcomes for traceability.
Built for fits when aquaculture teams need governed, traceable event records across cohorts and locations with API sync..
Fishtek
Editor pickLifecycle cohort tracking that links spawning and incubation events through to production lots for traceability.
Built for fits when aquaculture groups need lifecycle traceability plus consistent cohort inventory movement across facilities..
AKVA Group Software
Editor pickStage-governed cohort workflow that links broodstock spawning records through hatchery incubation to farm inventory and harvest readiness.
Built for fits when aquaculture operators need stage-governed cohort tracking across hatchery and multiple farms..
Related reading
Comparison Table
ReelData
API-firstAI-driven aquaculture analytics platform for biomass estimation and fish behavior monitoring.
Event lineage with field-level audit history links operational changes to lot outcomes for traceability.
ReelData centers on event capture and lineage, so a change to a lot, cohort, or treatment record propagates through linked production outputs instead of living as isolated spreadsheets. The system supports configurable forms and mappings for common farm workflows, plus API endpoints for pushing and pulling operational data at high throughput. Admin configuration focuses on governance of entities such as farms, production units, and batches so teams can control what data is allowed and where it lands. Audit trails track field-level changes across the lifecycle to support handoffs between farm staff and compliance reporting roles.
A key tradeoff is that event normalization requires upfront configuration, so teams with highly idiosyncratic data capture processes may need extra work to map existing logs into ReelData’s standard objects. ReelData fits best when multiple sites, cohorts, and treatment cycles must stay consistent while staff roles vary between data entry, production planning, and record review.
- +API-based event sync keeps batch histories consistent across sites
- +Configurable ingestion reduces manual re-entry for cohort updates
- +Audit trails capture changes across lot-linked production records
- +Rule automation propagates edits through downstream outputs
- –Upfront mapping is needed to normalize inconsistent farm logs
- –Complex workflows can require more configuration than simple tracking
- –Some advanced reporting layouts depend on additional configuration
- –Role separation workflows need careful setup for shared devices
Operations managers
Track cohort events across tanks
Fewer reconciliation errors
Compliance and QA teams
Maintain change history for records
Faster record audits
Show 2 more scenarios
Integrations and data teams
Sync farm data into warehouses
More reliable reporting
API ingestion and export endpoints support automated pipeline refresh for downstream analytics.
Hatchery and production leads
Manage linked production lots
Reduced manual workload
Automation rules connect early-stage events to downstream lot records without duplicate entry.
Best for: Fits when aquaculture teams need governed, traceable event records across cohorts and locations with API sync.
Fishtek
vertical specialistFish farm management software covering feeding, growth monitoring, and harvest planning.
Lifecycle cohort tracking that links spawning and incubation events through to production lots for traceability.
Fishtek fits aquaculture teams that need end to end traceability from breeding decisions to production lots, with the ability to track cohorts across time. The system centers on lifecycle records and operational data entry workflows, so hatchery events can carry forward into inventory and harvest planning. The strongest fit signals show up when multiple sites or roles must follow the same record structure for spawning, incubation, and grow out activities.
A tradeoff exists in process design, because teams get the best results when workflows match how Fishtek models lifecycle and inventory events. Fishtek is a better match for organizations that can standardize naming, batch rules, and operator entry conventions across crews than for teams that want ad hoc spreadsheets.
- +Breeding and cohort workflows keep lifecycle records connected to inventory
- +Traceability supports batch level continuity from spawn through harvest
- +Operational record forms reduce rekeying across hatchery and farm roles
- +Automation options help enforce consistent event capture
- –Workflow design needs alignment with operational processes
- –Admin configuration effort increases with complex multi site setups
- –Reporting requires understanding the underlying record relationships
- –Custom extensions can add dependency on implementation support
Hatchery managers
Track spawn lots through incubation
Fewer data gaps
Farm operations teams
Manage grow out inventory cohorts
Accurate stock accounting
Show 2 more scenarios
Quality and traceability roles
Maintain harvest batch documentation
Clear audit trail
Batch level traceability records support controlled chain of custody from production to harvest planning.
Multi site admins
Coordinate shared workflows
More consistent data entry
Consistent record structures help governance of event capture across roles and locations.
Best for: Fits when aquaculture groups need lifecycle traceability plus consistent cohort inventory movement across facilities.
AKVA Group Software
enterpriseAquaculture software suite for cage-based fish farming including feeding control and sensor integration.
Stage-governed cohort workflow that links broodstock spawning records through hatchery incubation to farm inventory and harvest readiness.
AKVA Group Software is designed for fish-farm and hatchery teams that need structured operational execution across stages like spawning, incubation, and stocking into production cohorts. The software supports cohort-level history so teams can connect treatments, transfers, and inventory changes to the same lineage over time. Reporting and traceability features are oriented around production lots and harvest readiness so operations and QA teams can audit changes without re-keying data.
A key tradeoff is that the workflow depth increases implementation effort, since production stages, units, and transition rules must be configured to match local husbandry practices. It fits best when multiple sites run similar production processes that still need controlled variations, such as hatchery-to-farm transfers with standardized lot identifiers. It is less suitable for organizations that only need basic mortality logs and one-off reporting without stage governance.
- +Cohort lineage ties spawning, stocking, and harvest planning in one workflow
- +Stage-based tracking reduces duplicate entry between hatchery and farm teams
- +Traceability outputs support batch audit trails across operational changes
- +Species and site workflow configuration supports controlled process variation
- –Workflow modeling requires upfront configuration effort and governance discipline
- –Hatchery-to-farm data handoffs depend on consistent lot identifier usage
- –Reporting design can require system knowledge for complex operational views
- –Some integrations may require custom work to match enterprise systems
Hatchery operations teams
Track incubation batches to stocking
Fewer handoff errors and traceable batch history
Fish farm production managers
Run inventory and cohort transfers
More accurate cohort sizing decisions
Show 2 more scenarios
Quality and traceability leads
Audit lot-to-harvest changes
Audit-ready change records
Generate traceability reports that connect operational events to production lots and harvest planning readiness.
Multi-site aquaculture program
Standardize workflows with local variation
Consistent execution across sites
Configure standardized stage transitions while applying site-specific parameters under controlled configuration.
Best for: Fits when aquaculture operators need stage-governed cohort tracking across hatchery and multiple farms.
FarmWizard
SMBFarmWizard provides farm-management software with livestock and aquaculture recordkeeping capabilities.
Treatment and withdrawal records tied to stock batch updates so compliance steps follow the same cohort across the cycle.
FarmWizard focuses on fish farm workflows with cohort-style record keeping tied to site operations and batch movement. It supports day-to-day husbandry tracking such as mortalities, treatments, and inventory updates so operations teams can reconcile production status against farm activities.
FarmWizard also provides automation hooks for recurring tasks and operational checklists, which reduces manual spreadsheet handoffs during busy cycles. Integration depth and extensibility matter most in evaluation, because FarmWizard’s value grows when existing farm processes can map cleanly into its operational forms and exports.
- +Operational workflow templates map to husbandry tasks without spreadsheet remapping
- +Cohort and batch movement records keep inventory and production status aligned
- +Treatment and withdrawal tracking reduces missed compliance entries
- +Exports support reporting that farms can reuse in internal review cycles
- –Advanced automation requires careful form and process setup discipline
- –Audit visibility for field edits is limited compared with heavier governance suites
- –Water quality logging depth is narrower for multi-sensor deployments
- –External system integration depends on exports and any available API coverage
Best for: Fits when aquaculture teams need husbandry tracking and batch movement records tied to daily farm operations.
Fangstr
vertical specialistElectronic reporting system and VMS software for modern fisheries management.
Event-to-record automation links operational actions to structured tracking fields without custom code.
Fangstr captures fish farm and fisheries workflows around observation, handling, and traceable records tied to operational events. It provides configurable forms and record tracking that link field actions to outputs used in farm reporting.
Automation rules and role-based access controls support recurring data entry patterns and controlled use by staff and managers. Integrations and an API surface help move records between Fangstr and surrounding systems without manual re-keying.
- +Configurable operational record capture for field observations and actions
- +Automation rules reduce repeat data entry for scheduled workflows
- +Role-based access controls limit record edits by operational role
- +API supports integration with external farm systems and reporting tools
- –Configuration effort rises when many cohorts, sites, and event types are used
- –Water quality and lab-data workflows need careful template design
- –Advanced analytics depend on exporting and external reporting tooling
- –Bulk data operations can feel restrictive for high-frequency logging teams
Best for: Fits when aquaculture teams need traceable operational records with automation and external integration.
Manolin
vertical specialistPredictive farm intelligence platform for fish health, product performance, and risk management.
Cohort lineage ties spawning results to incubation handling, inventory moves, and harvest yields within one audit trail.
Manolin targets aquaculture operations that need traceable records from hatchery through grow-out, with workflow screens built around staged animal cohorts. Core capabilities center on broodstock and spawning documentation, incubation and fry handling logs, and inventory moves tied to lot lineage.
The system also supports harvest planning and yield tracking, plus disease, treatment, and veterinary withdrawal records for compliance workflows. Manolin’s distinct differentiator is how those record types connect through operational events rather than living as isolated forms.
- +Cohort-driven records connect spawning, incubation, and inventory moves
- +Spawning, incubation, and fry handling workflows match hatchery operations
- +Disease and veterinary withdrawal documentation supports regulated traceability
- +Harvest planning and yield tracking link outcomes back to batches
- –End-to-end workflows require deliberate configuration to match farm setup
- –Advanced reporting needs admin support to standardize templates
- –Limited visibility into water quality monitoring workflows compared with specialists
- –Integrations and API access depth are not as documented as in developer-first tools
Best for: Fits when hatchery and farm teams need cohort lineage for traceability across batches and harvest events.
Trackwell FIMS
enterpriseFisheries management software suite with VMS, electronic reporting, and logbook capabilities.
Cohort-linked production logs connect incubation inputs to downstream inventory and mortality outcomes.
Trackwell FIMS is a fish farm management system that targets operational traceability across cohorts from spawning records through inventory movements. Core capabilities center on hatchery and stock tracking workflows, including egg incubation tracking and mortality handling tied to lot or batch concepts.
The solution is built for team configuration around farm, tank, or cage structures and for recording veterinary and treatment events that support withdrawal tracking and audit trails. Integration depth and automation surface appear focused on data capture and workflow records, with the most useful extension points being imports, exports, and structured record updates rather than deep custom analytics.
- +Cohort-oriented tracking that keeps hatchery and inventory records aligned
- +Mortality and veterinary event logging supports traceability across production steps
- +Structured farm hierarchy supports tank and cage level operational recording
- +Workflow-focused data entry reduces reconciliation work during handoffs
- –Customization options for advanced analytics and custom fields are limited
- –Automation depends heavily on manual data entry or scheduled exports
- –API depth for bi-directional integrations is not a primary strength
- –Reporting flexibility can lag behind complex, multi-farm governance needs
Best for: Fits when hatchery and farm teams need cohort traceability with structured records and repeatable workflows.
EFICE
enterpriseFishery software for catch management, logbooks, quota tracking, and fleet management.
Event-to-record workflow automation that ties each operational step to cohort history for traceable outcomes.
EFICE maps fish-farm workflows into a configurable application for hatchery-to-farm operations, with records structured around cohorts and handling events. It focuses on day-to-day operational logging, including inventory movements and production activities, so teams can trace what happened to each lot over time.
EFICE also provides automation paths that trigger actions from workflow steps and supports integration through an API and webhook-style eventing for connected tools. For aquaculture teams, EFICE’s distinguishing factor is how it turns operational events into usable audit trails for ongoing management and handoffs.
- +Event-based handling records make cohort history easy to review
- +Automation triggers reduce manual step tracking across routine workflows
- +API and event callbacks support integrations with lab and operations tools
- +Configurable workflow steps fit hatchery and farm handoffs
- –Cohort and inventory modeling needs careful initial configuration
- –Reporting depth depends on how teams define process fields
- –Custom integrations require more engineering than rules-only setups
- –Advanced compliance exports need extra mapping work
Best for: Fits when aquaculture teams need configurable workflow logging plus API-driven integrations for cohort traceability.
CatchLog
SMBElectronic logbook and fleet management software for commercial fishing vessels.
End-to-end stock traceability that keeps incubation and mortality records linked to the same cohort identifiers.
CatchLog manages fish and aquaculture field records with a structured workflow that links daily logs, stock identifiers, and operational events. It supports capture-to-trace documentation for tasks such as spawning records, incubation notes, and mortality entries so teams can review cohort histories.
CatchLog emphasizes traceability across lots and batches through consistent identifiers that carry through subsequent handling steps. The system is built for operational logging rather than analytics-first reporting.
- +Cohort history stays connected from initial logs to later operational events
- +Field-friendly capture workflow reduces transcription gaps across shifts
- +Traceability through consistent stock and batch identifiers supports chain-of-custody review
- +Event-based record structure keeps spawning and incubation notes tied to outcomes
- –Automation coverage is limited for multi-step batch workflows without manual steps
- –Custom data modeling beyond supported record types requires careful process setup
- –RBAC granularity and governance reporting are not extensive for complex multi-site orgs
- –API and extensibility documentation is thin for advanced integrations
Best for: Fits when aquaculture teams need consistent traceability from spawning and incubation notes through handling and mortality logs.
FISHWeb
enterpriseWeb portal for fleet managers providing secured access to fishing fleet VMS data and operations.
Single shared web workspace for fish-related transactions across group-managed users.
FISHWeb is a fisheries-focused web application built for operational recordkeeping and group-managed workflows. It centers on structured data capture for field activities so teams can reuse the same records across daily tasks and reporting cycles.
The tool’s most practical strength is keeping multiple users aligned on the same fish-related transactions through a shared, browser-based interface. Governance depends on the site’s group hosting model, so admin control and user access are shaped by how the fisheries.groupcls.com environment is configured.
- +Browser-based capture for fisheries and fish-farm operational records
- +Works well for groups that need shared workflows without desktop tooling
- +Structured transaction entry supports repeatable daily recordkeeping
- +Group hosting model can reduce deployment overhead for small teams
- –Integration depth is limited when external systems need automated sync
- –Automation controls are thinner than full aquaculture suites with scheduling engines
- –Complex broodstock or hatchery tracking schemas can require custom process design
- –Access and governance quality depends on the groupcls hosting configuration
Best for: Fits when small fisheries teams need shared web recordkeeping with minimal deployment overhead.
Conclusion
After evaluating 10 agriculture farming, ReelData 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 fish software
Aquaculture teams reviewing fish software tend to focus on lifecycle traceability and event lineage across cohorts, sites, and harvest outcomes. This buyer's guide covers ReelData, Fishtek, AKVA Group Software, FarmWizard, Fangstr, Manolin, Trackwell FIMS, EFICE, CatchLog, and FISHWeb.
The product differences show up in how each system records structured cohort events, how automation rules or API sync move records through batch history, and how governance handles edits. Tool pages in this guide connect those mechanisms to concrete workflows like spawning-to-incubation linkage and cohort-linked mortality or treatment tracking.
Fish software for aquaculture: cohort lineage, event-to-record automation, and governed traceability across farms and hatcheries
Fish software stores aquaculture operational records as cohort-connected events and batch-linked outcomes so teams can follow stock movement from spawning through incubation, handling, and harvest. Systems like ReelData emphasize event lineage with field-level audit history links that connect operational changes to lot outcomes for traceability.
Other tools center lifecycle workflow continuity through cohort states, such as Fishtek linking spawning and incubation events through to production lots and Manolin tying spawning results to incubation handling, inventory moves, and harvest yields within one audit trail. The most practical selection path comes from comparing how each tool normalizes operational logs into consistent cohort identifiers, then how it automates record capture with rules or API sync instead of relying on repeated manual entry.
Fish software evaluation criteria for cohort lineage, automation, and governance
Fish software should preserve cohort lineage end to end so teams can trace spawning, incubation handling, inventory movement, and mortality or harvest outcomes through consistent identifiers. Systems differ most when they record operational changes as events tied to batches and lots rather than isolated notes.
Automation and integration depth determine whether teams can avoid re-keying field actions into cohort records. Tools that provide API-based event sync or event-to-record automation reduce transcription gaps, while governance controls determine how edits remain auditable.
Event lineage with auditable field history links
ReelData provides event lineage with field-level audit history links that connect operational changes to lot outcomes for traceability.
Lifecycle cohort tracking from spawning through production lots
Fishtek links spawning and incubation events through to production lots so cohort inventory movement stays consistent across facilities.
Stage-governed cohort workflows across hatchery and farms
AKVA Group Software uses stage-governed cohort workflow that links broodstock spawning records through hatchery incubation to farm inventory and harvest readiness.
Treatment and withdrawal records tied to batch updates
FarmWizard ties treatment and withdrawal records to stock batch updates so compliance steps follow the same cohort across the production cycle.
Event-to-record operational automation without custom code
Fangstr automates operational actions to structured tracking fields through configurable event-to-record rules that reduce repeat data entry.
End-to-end cohort lineage from spawning to harvest yields
Manolin connects spawning results to incubation handling, inventory moves, and harvest yields within one audit trail for hatchery and farm continuity.
A workflow-first decision framework for aquaculture fish software selection
Selection should start with how the organization models cohorts and events across hatchery and farm operations. Tools in this guide vary in whether they enforce a stage-governed lifecycle flow, use event-to-record automation, or rely on flexible templates that require governance discipline.
Next, the decision should map to the operational system of record for daily capture and downstream reporting. Teams selecting between ReelData, Fangstr, and EFICE should pay attention to API sync and event trigger behavior, while teams selecting between FarmWizard and Trackwell FIMS should focus on batch-linked compliance and how much automation requires manual input or scheduled exports.
Normalize cohort identifiers across sites before comparing automation
ReelData works best when cohort and lot identifiers can be normalized up front for mapping ingestion of inconsistent farm logs. AKVA Group Software and Fishtek also require consistent lot identifier usage so hatchery-to-farm handoffs do not split lineage across records.
Pick an event capture model that matches daily operations
Fangstr fits teams that want configurable event-to-record automation for operational actions without building custom code for each field capture. EFICE fits teams that want event-based handling records with automation triggers that tie each operational step to cohort history for traceable outcomes.
Choose governance depth based on who edits operational records
ReelData emphasizes field-level audit history links that connect operational changes to lot outcomes for traceability across edits. FarmWizard prioritizes batch-tied treatment and withdrawal records but provides more limited audit visibility for field edits compared with governance-focused suites.
Select stage enforcement when workflows cross organizational boundaries
AKVA Group Software is built around stage-governed cohort workflow that connects broodstock spawning records through hatchery incubation to farm inventory and harvest readiness. Fishtek and Manolin connect lifecycle steps through cohort lineage, but stage governance reduces duplicate entry between hatchery and farm teams when stage transitions are well defined.
Validate automation coverage for multi-step batch workflows
Fangstr and EFICE reduce repeat data entry by linking operational actions or steps directly to structured cohort tracking fields. CatchLog limits automation coverage for multi-step batch workflows without manual steps and is better aligned with workflows where manual capture is acceptable.
Stress-test analytics customization needs before committing to templates
Trackwell FIMS has limited customization options for advanced analytics and custom fields, which can constrain reporting granularity. ReelData and AKVA Group Software support traceability-heavy workflows, but they still require upfront configuration effort for governance and workflow modeling.
Who should use which fish software for cohort lineage and traceability
Fish software selection should reflect how the aquaculture organization runs cohorts between hatchery and production sites and how compliance steps attach to batch history. Tools with audit history and API surfaces fit teams that must reconcile operational edits with traceable outcomes.
Other teams should prioritize stage governance and template-driven workflows when multiple groups share ownership of lifecycle records. Smaller groups focused on shared capture may prefer browser-based workspaces with less integration automation.
Multi-site aquaculture groups with API or system-to-system sync requirements
ReelData fits teams that need API sync so batch histories remain consistent across sites and operational changes can be traced from field-level events to lot outcomes.
Organizations that run hatchery-to-farm lifecycle with formal stage transitions
AKVA Group Software fits teams that require stage-governed cohort tracking so spawning, incubation, farm inventory, and harvest readiness stay connected through controlled stage transitions.
Aquaculture operators that must bind compliance records to the same batch throughout treatment cycles
FarmWizard fits teams that need treatment and withdrawal records tied to stock batch updates so compliance steps follow the same cohort across husbandry operations.
Teams focused on automation for field observations and operational actions
Fangstr fits teams that want event-to-record automation driven by configurable rules so repeat operational actions become structured tracking fields.
Small fisheries groups that need shared web recordkeeping with minimal deployment overhead
FISHWeb fits teams that want a single shared web workspace for fish-related transactions across group-managed users, while accepting limited integration depth for automated sync.
Common fish software selection mistakes that break traceability and automation
Misalignment between cohort identifiers and automation mappings causes lineage to split across batches, which undermines traceability during harvest planning and reporting. Several tools require upfront normalization, workflow modeling, or template design to avoid fragmented event histories.
Another common issue is choosing a system that meets workflow capture needs but fails to cover multi-step batch automation, which then forces manual workarounds. Audit visibility and edit governance can also become a bottleneck when field edits occur without strong audit trails.
Selecting a tool with strong traceability features but skipping cohort identifier normalization during onboarding
ReelData requires upfront mapping to normalize inconsistent farm logs, and AKVA Group Software depends on consistent lot identifier usage for hatchery-to-farm data handoffs.
Expecting automation to cover every multi-step batch workflow without manual steps
CatchLog has limited automation coverage for multi-step batch workflows and requires manual steps when workflows span multiple operational stages.
Designing stage transitions loosely and then building reports on top of stage-ambiguous records
AKVA Group Software reduces duplicate entry by linking lifecycle stages, but stage-governed workflow modeling requires upfront configuration and governance discipline.
Underestimating how much template or rule design is needed for event automation and lab workflows
Fangstr configuration effort rises when many cohorts, sites, and event types are used, and its water quality and lab-data workflows need careful template design.
Assuming advanced analytics customization is available for custom fields and reporting without admin support
Trackwell FIMS limits customization options for advanced analytics and custom fields, which can require admin support to standardize templates for reporting.
How We Selected and Ranked These Tools
We evaluated each fish software tool on traceability mechanisms tied to cohorts and lots, then on automation and API surface for moving operational records into structured history. Features received 40% of the ranking weight because governed event lineage and batch-linked workflows determine whether spawning, incubation handling, mortality, and compliance records stay connected.
Ease and value each received 30% of the ranking weight because onboarding effort and workflow design overhead determine whether teams can operate the system day to day without spreadsheet workarounds. ReelData set the top position with field-level audit history links tied to lot outcomes plus API-based event sync that keeps batch histories consistent across sites.
Frequently Asked Questions About fish software
Which tools provide an API surface for warehouse sync or external reporting pipelines?
How do these systems link hatchery lifecycle events to inventory lots for traceability?
When does stage-governed cohort workflows matter more than general recordkeeping?
What breaks if a team cannot enforce role-based access controls for operational forms?
How is data migration handled when moving existing lot or cohort identifiers into a new data model?
Which tools support event-to-record automation without custom code changes?
Where does extensibility tend to fall short across this category?
What tradeoff appears when recordkeeping is optimized for daily operational logging rather than analytics-first reporting?
How should admin controls be evaluated when multiple groups or sites share a workflow?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Keep exploring
Comparing two specific tools?
Software Alternatives
See head-to-head software comparisons with feature breakdowns, pricing, and our recommendation for each use case.
Explore software alternatives→In this category
Agriculture Farming alternatives
See side-by-side comparisons of agriculture farming tools and pick the right one for your stack.
Compare agriculture farming tools→