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Agriculture FarmingTop 10 Best Crop Scouting Software of 2026
Compare the top 10 Crop Scouting Software picks for faster field checks and higher yields. See Prospera, Taranis, Arable rankings.
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%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Prospera
Standardized photo-based observation capture with annotation and team-ready review
Built for agronomy teams needing repeatable visual scouting workflows across farms.
Taranis
AI anomaly detection that highlights stress zones directly on crop imagery
Built for teams needing AI-assisted visual scouting with collaborative review workflows.
Arable
Automated remote sensing maps that drive prioritized in-field scouting actions
Built for crop teams needing imagery-assisted scouting workflows with clear map prioritization.
Related reading
Comparison Table
This comparison table reviews Crop Scouting Software tools such as Prospera, Taranis, Arable, Turf & Crop Manager, and Agworld. It summarizes how each platform supports scouting workflows, field data capture, analytics, and collaboration so teams can match features to their crop management needs.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | Prospera Prospera supports farm teams with field scouting capture, issue tracking, and agronomic reporting tied to actionable agronomy workflows. | farm operations | 8.3/10 | 8.7/10 | 8.0/10 | 8.0/10 |
| 2 | Taranis Taranis uses AI-based field imaging and scouting support to detect crop issues and route them into follow-up agronomic actions. | AI crop monitoring | 8.1/10 | 8.6/10 | 7.7/10 | 7.9/10 |
| 3 | Arable Arable provides digital crop insights that support scouting prioritization and agronomy decision-making from field observation data. | sensor-based scouting | 7.6/10 | 8.1/10 | 7.2/10 | 7.3/10 |
| 4 | Turf & Crop Manager Farmer Pilots Farm Intelligence supports field activities and scouting logs to organize observations into farm tasks and reports. | field activity logs | 7.7/10 | 7.5/10 | 8.2/10 | 7.4/10 |
| 5 | Agworld Agworld records field operations and scouting observations with maps and collaboration tools for agronomists and growers. | farm collaboration | 7.2/10 | 7.6/10 | 6.9/10 | 6.9/10 |
| 6 | FarmERP FarmERP manages farm records that can include scouting notes and field inspection data linked to crop operations and traceability. | farm records | 7.3/10 | 7.5/10 | 7.0/10 | 7.2/10 |
| 7 | Raven AI Raven AI integrates with precision agriculture systems to support issue detection workflows that feed scouting follow-up. | precision agriculture | 7.3/10 | 7.6/10 | 7.1/10 | 7.1/10 |
| 8 | Agrivi Agrivi helps teams log field activities and scouting observations and organize them into crop plans and operational reports. | crop management | 7.7/10 | 8.1/10 | 7.6/10 | 7.4/10 |
| 9 | CropX CropX combines soil monitoring insights with agronomic workflows that support targeted scouting and irrigation decisions. | soil insights | 8.2/10 | 8.6/10 | 7.9/10 | 7.8/10 |
| 10 | PrecisionHawk PrecisionHawk provides imagery and field intelligence workflows that support crop scouting prioritization and corrective actions. | drone intelligence | 7.1/10 | 7.3/10 | 6.8/10 | 7.0/10 |
Prospera supports farm teams with field scouting capture, issue tracking, and agronomic reporting tied to actionable agronomy workflows.
Taranis uses AI-based field imaging and scouting support to detect crop issues and route them into follow-up agronomic actions.
Arable provides digital crop insights that support scouting prioritization and agronomy decision-making from field observation data.
Farmer Pilots Farm Intelligence supports field activities and scouting logs to organize observations into farm tasks and reports.
Agworld records field operations and scouting observations with maps and collaboration tools for agronomists and growers.
FarmERP manages farm records that can include scouting notes and field inspection data linked to crop operations and traceability.
Raven AI integrates with precision agriculture systems to support issue detection workflows that feed scouting follow-up.
Agrivi helps teams log field activities and scouting observations and organize them into crop plans and operational reports.
CropX combines soil monitoring insights with agronomic workflows that support targeted scouting and irrigation decisions.
PrecisionHawk provides imagery and field intelligence workflows that support crop scouting prioritization and corrective actions.
Prospera
farm operationsProspera supports farm teams with field scouting capture, issue tracking, and agronomic reporting tied to actionable agronomy workflows.
Standardized photo-based observation capture with annotation and team-ready review
Prospera stands out for turning field scouting notes into structured, reviewable records with a consistent visual workflow. The core scouting flow centers on capturing imagery, annotating observations, and organizing them into crop-relevant tasks that can be shared with teams. It supports operational repeatability by standardizing how scouts document issues like plant growth problems, pest pressure, and agronomic anomalies across different locations. The result fits scouting programs that need faster feedback loops and cleaner documentation than ad hoc spreadsheets.
Pros
- Structured scouting capture links photos to standardized observations
- Team sharing enables faster review of field findings
- Annotation workflows reduce missing details compared to notes-only methods
- Organized tasks support consistent scouting across locations
- Visual documentation improves traceability for follow-up actions
Cons
- Advanced agronomy analytics remain limited versus specialized platforms
- Configuration of scouting templates can take extra setup time
- Offline-first field reliability needs validation in harsh connectivity areas
- Export and interoperability depth may lag dedicated reporting systems
Best For
Agronomy teams needing repeatable visual scouting workflows across farms
More related reading
Taranis
AI crop monitoringTaranis uses AI-based field imaging and scouting support to detect crop issues and route them into follow-up agronomic actions.
AI anomaly detection that highlights stress zones directly on crop imagery
Taranis stands out with an AI-driven crop imaging workflow that pinpoints in-field issues from drone and satellite imagery. The platform supports scouting tasks, automated problem detection, and agronomist-style review flows tied to specific field imagery. Core capabilities focus on visual insights for stress, growth anomalies, and actionable follow-ups across scouting cycles. Team collaboration centers on reviewing detected zones and tracking work tied to those observations.
Pros
- AI detections turn imagery into scouted issue zones quickly
- Field-level visual review supports agronomist validation workflows
- Scouting observations map to imagery so teams stay aligned
- Team review reduces repeated manual ground scouting effort
Cons
- Best results depend on consistent imagery coverage and quality
- Workflow setup can feel heavy for teams without defined processes
- Detection outcomes still require human agronomy interpretation
Best For
Teams needing AI-assisted visual scouting with collaborative review workflows
Arable
sensor-based scoutingArable provides digital crop insights that support scouting prioritization and agronomy decision-making from field observation data.
Automated remote sensing maps that drive prioritized in-field scouting actions
Arable stands out for turning satellite and field observations into scouting-ready insights that connect directly to crop status across a season. Core capabilities center on automated imagery-based monitoring, in-field issue workflows, and map-driven views that help scouts prioritize areas for visits. The tool supports flagging problems, tracking changes over time, and packaging findings so teams can act on what the imagery suggests.
Pros
- Satellite-driven scouting highlights likely problem zones before field walks
- Map-first interface speeds up area selection for targeted scouting
- Temporal views support tracking emergence and spread over time
- Field annotations connect directly to visual evidence
Cons
- Setup and farm data alignment can be time-consuming for new teams
- Some scouting workflows feel rigid compared with fully custom field processes
- Complex situations may require more manual interpretation than automation
Best For
Crop teams needing imagery-assisted scouting workflows with clear map prioritization
More related reading
Turf & Crop Manager
field activity logsFarmer Pilots Farm Intelligence supports field activities and scouting logs to organize observations into farm tasks and reports.
Field scouting checklists that standardize observations across repeated visits
Turf & Crop Manager stands out by focusing on field scouting workflows tailored to turf and crop operations. The tool organizes scouting activities with field-level structure and checklists for repeating observations across visits. It supports practical documentation of findings so teams can track conditions and follow up on issues in a consistent way. The platform is best viewed as a workflow and recordkeeping layer for scouting teams rather than an analytics platform for advanced agronomic modeling.
Pros
- Field-focused scouting structure keeps observations organized per site
- Checklist-style workflows support repeatable inspections and consistent documentation
- Documenting findings for later review helps reduce missing context between visits
Cons
- Limited evidence of advanced agronomic analytics beyond structured recordkeeping
- Scouting outcomes rely more on user discipline than automated decision support
- Less emphasis on cross-source integrations compared with broader farm platforms
Best For
Turf and crop teams managing repeat field scouting records and workflows
Agworld
farm collaborationAgworld records field operations and scouting observations with maps and collaboration tools for agronomists and growers.
Photo-assisted scouting reports linked to field tasks and agronomy actions
Agworld stands out with a farm-focused digital scouting workflow that ties field observations to crops, pests, diseases, and agronomic actions. Core capabilities include structured crop scouting forms, photo-supported reports, task assignment, and collaboration across field teams. The system also supports field-level organization so findings can be reviewed and used to guide agronomy decisions.
Pros
- Structured scouting templates standardize field observations
- Photo and note capture supports evidence-based scouting
- Task assignment and team collaboration reduce follow-up gaps
Cons
- Scouting setup requires upfront process design
- Mobile capture can feel constrained for highly customized workflows
- Reporting depth may lag specialized agronomy analytics tools
Best For
Agronomy teams managing routine crop scouting and field communication
FarmERP
farm recordsFarmERP manages farm records that can include scouting notes and field inspection data linked to crop operations and traceability.
Field-based scouting plan management that links observations to task follow-ups
FarmERP focuses on practical farm operations tracking tied to crop scouting workflows, with records that connect field work to crop and season details. The core toolset supports scouting plan management, issue or observation logging, and follow up actions on a per-field basis. It emphasizes operational visibility for agronomy teams by keeping observations organized around crop, location, and timing rather than standalone checklists.
Pros
- Field and crop context keeps scouting notes tied to where work happens
- Scouting plans and observation logs support repeatable field inspections
- Action tracking connects observations to follow-up tasks for remediation
- Structured recordkeeping reduces lost or scattered scouting information
Cons
- Workflows can feel rigid when scouting process differs by crop
- Setup and data entry effort is high before teams can move fast
- Limited evidence of advanced analytics compared with top scouting tools
- Photo-rich scouting may require consistent templates to stay usable
Best For
Crop scouting teams needing field-centric tracking and follow-up actions
More related reading
Raven AI
precision agricultureRaven AI integrates with precision agriculture systems to support issue detection workflows that feed scouting follow-up.
Visual scouting documentation tied to field and growth-stage records
Raven AI stands out by focusing on precision crop scouting workflows that translate field observations into actionable records. The core capabilities center on capturing scouting data, organizing findings by field and growth stage, and maintaining traceable documentation for agronomy decisions. The tool also emphasizes consistent visual evidence to reduce ambiguity between scouts and agronomists. It is best suited for teams that want a structured scouting trail rather than a general-purpose farm management system.
Pros
- Structured scouting records improve decision traceability and accountability
- Visual-first workflow helps standardize what scouts document
- Field- and stage-oriented organization supports faster agronomy review
Cons
- Workflow depth feels narrow compared with broad scouting suites
- Integrations and data export options appear limited for complex stacks
- Advanced team coordination features are not as prominent as in top tools
Best For
Teams needing consistent, visual crop scouting documentation and organized field reporting
Agrivi
crop managementAgrivi helps teams log field activities and scouting observations and organize them into crop plans and operational reports.
Scouting task management that structures field observations into reviewable crop reports
Agrivi stands out for blending field scouting workflows with agronomic decision support focused on crop performance tracking. Core capabilities include collecting in-field observations, organizing sites and crops, and generating actionable scouting records tied to farm activity. The system supports team use by structuring reports and enabling repeatable assessment across locations and dates.
Pros
- Structured scouting workflows connect observations to specific crops and fields
- Clear organization for sites, dates, and recurring farm assessments
- Team-friendly record keeping supports consistent scouting outputs
- Reporting turns field notes into reviewable farm activity history
Cons
- Limited flexibility for custom scouting templates beyond supported workflows
- Advanced analytics depth is less compelling than specialized agronomy platforms
- Geospatial and imagery-heavy scouting requires more manual organization
Best For
Teams managing repeated crop scouting across farms with consistent reporting
More related reading
CropX
soil insightsCropX combines soil monitoring insights with agronomic workflows that support targeted scouting and irrigation decisions.
Geo-zoned crop scouting that overlays satellite and agronomic variability signals for targeted actions
CropX stands out by combining in-field crop scouting with automation from satellite, weather, and agronomic models. The system supports rapid scouting workflows in mapped zones, then ties observations to actionable variability insights for targeted management decisions. Visual and map-based review of field conditions helps teams standardize how findings are collected and interpreted.
Pros
- Map-first scouting workflow links observations to geospatial zones
- Automated sensing inputs reduce manual checks for routine variability
- Clear field visibility improves review consistency across scouts
Cons
- Onboarding and setup can take time due to agronomic configuration
- Workflow depends on data quality from connected inputs and boundaries
- Advanced analysis depth may require admin guidance for teams
Best For
Crop teams needing geospatial scouting workflows and automated variability insights
PrecisionHawk
drone intelligencePrecisionHawk provides imagery and field intelligence workflows that support crop scouting prioritization and corrective actions.
PrecisionHawk Flight Planning and automated drone imagery ingestion into map-based scouting analytics
PrecisionHawk stands out for unifying drone-derived agronomy imagery into an operational inspection workflow. Core capabilities include flight planning, automated image capture, and visual analytics for crop and field scouting. The system supports multi-season recordkeeping with map-based problem identification and report generation for stakeholders.
Pros
- Drone-to-insights workflow ties image capture to field scouting outputs.
- Map-based analytics make spatial crop issues easier to spot and review.
- Reporting supports sharing scouting findings with teams and advisors.
Cons
- Workflow setup can be complex for teams without existing drone operations.
- Analytics depth may lag specialized scouting tools for certain crops and tasks.
- Results depend heavily on consistent flight conditions and data quality.
Best For
Agronomy teams using drones for repeatable field scouting and reporting
How to Choose the Right Crop Scouting Software
This buyer’s guide covers how to select crop scouting software across field-image capture, AI anomaly detection, satellite-driven scouting maps, and drone-based inspection workflows. It compares Prospera, Taranis, Arable, Turf & Crop Manager, Agworld, FarmERP, Raven AI, Agrivi, CropX, and PrecisionHawk using the actual strengths and limitations of each tool. The guide focuses on choosing the right workflow fit for how scouting teams collect evidence, assign actions, and review field findings.
What Is Crop Scouting Software?
Crop scouting software digitizes scouting capture, organizes observations by field and crop, and connects evidence like photos and imagery to follow-up agronomy actions. It solves documentation gaps from notes-only scouting by turning observations into structured records and reviewable outputs that teams can use later. Tools such as Prospera center on standardized photo capture with annotation and team-ready review, while Taranis uses AI-based imaging to detect crop issues and route them into collaborative agronomic actions. Arable extends scouting prioritization with automated remote sensing maps that drive which areas scouts should inspect in the field.
Key Features to Look For
The right feature set determines whether scouting evidence stays consistent across farms and whether agronomy actions remain traceable to specific observations.
Standardized photo-based observation capture with annotation
Prospera links photos to standardized observations and uses annotation workflows to reduce missing details compared with notes-only methods. Raven AI also emphasizes a visual-first workflow that ties scouting records to field and growth-stage context for decision traceability.
AI anomaly detection mapped onto crop imagery
Taranis highlights stress zones directly on crop imagery using AI anomaly detection. This is built for teams that want detected issue zones to drive follow-up work tied to specific images rather than only manual ground scouting.
Automated remote sensing maps for prioritized in-field scouting
Arable produces automated remote sensing maps that guide scouts toward likely problem zones before field walks. CropX overlays geo-zoned scouting with satellite and agronomic variability signals so teams can review mapped conditions and target scouting more consistently.
Field scouting checklists for repeatable inspections
Turf & Crop Manager uses checklist-style scouting workflows to standardize repeated observations across visits. This helps teams reduce inconsistency between scouts when field documentation must stay uniform across locations and dates.
Task assignment and action follow-up tied to scouting findings
Agworld links photo-supported reports to task assignment and collaboration so field findings convert into actionable agronomy steps. FarmERP connects observations to follow-up tasks through action tracking built on field-centric scouting plan management.
Drone imagery workflow with flight planning and map-based reporting
PrecisionHawk provides flight planning and automated drone imagery ingestion into map-based scouting analytics for operational inspection workflows. This supports repeated, drone-derived scouting and stakeholders-ready reporting when image capture is part of the routine scouting cycle.
How to Choose the Right Crop Scouting Software
Selection should match the scouting evidence type and decision workflow, then confirm the system keeps that evidence traceable to actions.
Match the tool to the evidence source scouts will use
For photo-heavy ground scouting with structured documentation, Prospera offers standardized photo capture linked to annotated observations for consistent review. For AI-assisted issue detection on imagery, choose Taranis to turn drone and satellite signals into highlighted stress zones that route into agronomic review workflows. For map-first remote prioritization, Arable and CropX use automated remote sensing or geo-zoned variability signals to decide where field scouting should happen.
Confirm the workflow converts findings into reviewable records
Prospera organizes observations into crop-relevant tasks with visual documentation that improves traceability for follow-up actions. Raven AI also improves accountability by tying visual scouting documentation to field and growth-stage records so agronomy teams can validate decisions against consistent evidence.
Verify action tracking and responsibility assignment are built into scouting
Agworld supports task assignment and team collaboration so scouting evidence becomes structured field communication and follow-up. FarmERP links observation logs to action tracking on a per-field basis so remediation steps stay connected to where and when the observation occurred.
Choose map prioritization or checklist repeatability based on team variability
If scouts need strict consistency across repeated visits, Turf & Crop Manager uses field scouting checklists to standardize what gets recorded. If the team needs geospatial prioritization and automated variability guidance, CropX provides geo-zoned scouting that overlays satellite and agronomic variability signals for targeted actions.
Validate onboarding effort and offline or integrations constraints for field reality
If harsh connectivity affects field work, Prospera is the closest match among the top tools because it centers on repeatable visual workflows, but offline-first reliability still needs validation for connectivity-poor sites. If the organization depends on drone operations, PrecisionHawk offers flight planning and automated drone imagery ingestion, but teams must align capture conditions and data quality with the workflow. If imagery coverage quality is inconsistent, Taranis depends on consistent imagery coverage and quality for best results.
Who Needs Crop Scouting Software?
Crop scouting software benefits teams that must scale evidence-based scouting, keep documentation consistent across fields, and connect observations to agronomy decisions.
Agronomy teams needing repeatable visual scouting across farms
Prospera fits this segment because it standardizes photo capture with annotation and turns notes into structured, team-ready records. Raven AI also fits teams focused on traceable visual documentation tied to field and growth stage.
Teams that want AI to detect crop issues and drive follow-up actions
Taranis fits teams that want AI anomaly detection that highlights stress zones directly on crop imagery. The platform routes detected zones into collaborative agronomist-style review workflows tied to field imagery.
Crop teams that rely on remote sensing to prioritize where scouts should go
Arable fits teams needing automated remote sensing maps that drive prioritized in-field scouting actions. CropX fits teams that want geo-zoned scouting overlaying satellite and agronomic variability signals to target scouting more consistently.
Turf and crop operations that need checklist-driven repeatable field logs
Turf & Crop Manager fits turf and crop teams managing repeating visits because it emphasizes field scouting structure and checklist-style workflows. Agrivi also supports repeated assessments with structured scouting task management that turns field observations into reviewable crop reports.
Common Mistakes to Avoid
The most frequent failures come from choosing a tool that does not match the evidence workflow, team coordination needs, or the operational rigor required for consistent scouting documentation.
Buying an imagery tool without the right evidence input quality
Taranis produces best results when imagery coverage and quality are consistent, so uneven imagery inputs lead to less reliable detections. PrecisionHawk results also depend heavily on consistent flight conditions and data quality, so drone capture standards must be defined before relying on outputs.
Using a notes-only approach that breaks evidence traceability
Avoid workflows that leave observations unstructured, because Prospera and Raven AI explicitly tie photos to standardized observations or growth-stage records for traceable decision-making. Tools like Arable also connect field annotations to visual evidence so teams can review what remote sensing suggests against what was documented.
Expecting analytics depth when the team actually needs workflow and recordkeeping
Turf & Crop Manager is a workflow and recordkeeping layer that emphasizes checklists and consistent documentation rather than advanced agronomic modeling. FarmERP also focuses on operational visibility and action tracking tied to crop and field context, so it should be selected when the priority is structured follow-up rather than complex agronomic analytics.
Skipping the action-ownership workflow after scouting
Agworld includes task assignment and collaboration so field findings convert into follow-up actions. FarmERP links observations to task follow-ups through per-field action tracking, which prevents scouting records from becoming unused documentation.
How We Selected and Ranked These Tools
We evaluated each crop scouting software tool on three sub-dimensions using a weighted average. Features had a weight of 0.4. Ease of use had a weight of 0.3. Value had a weight of 0.3. Overall rating equals 0.40 × features plus 0.30 × ease of use plus 0.30 × value. Prospera separated from lower-ranked tools because its standardized photo-based observation capture with annotation and team-ready review strengthens features and usability at the same time, which supports faster review of field findings and cleaner traceability for follow-up actions.
Frequently Asked Questions About Crop Scouting Software
Which crop scouting tools are best for standardized photo-based scouting workflows?
Prospera and Raven AI both center scouting on capturing imagery and converting it into reviewable, structured records tied to fields and observations. Prospera standardizes how scouts document issues with a consistent visual workflow, while Raven AI emphasizes traceable visual documentation tied to field and growth-stage records.
How do AI-driven imaging tools compare with checklist-driven scouting tools?
Taranis uses AI-driven crop imaging to detect stress zones and surface actionable zones directly on crop imagery for collaborative review. Turf & Crop Manager focuses on operational scouting structure with field-level checklists that standardize repeated observations and recordkeeping without deep image anomaly detection.
Which platforms help teams prioritize field visits using maps and remote sensing?
Arable and CropX use imagery and mapping to drive scouting priorities. Arable turns satellite and field observations into map-driven views that help scouts prioritize areas, while CropX overlays geospatial variability signals and mapped zones to guide where scouting should concentrate.
What crop scouting software connects scouting findings to follow-up actions and accountability?
FarmERP and Agworld both link scouting work to field-centric tasks and actions. FarmERP manages scouting plans and logs issues with per-field follow-ups, while Agworld assigns tasks and connects photo-supported reports to crops, pests, diseases, and agronomic actions.
Which tools are designed for multi-team collaboration and review of detected or logged issues?
Taranis supports collaborative review workflows around AI-detected zones and tracking work tied to imagery. Prospera also supports team-ready review by organizing annotated observations and making scouting outputs easier to share across scouting programs.
Which solution is the best fit for agronomy teams that need remote sensing plus targeted in-field verification?
Arable and CropX both blend remote sensing with in-field workflows. Arable packages imagery-based changes into issue workflows for scouts, while CropX combines satellite, weather, and agronomic model signals to generate variability insights that scouting teams verify in mapped zones.
How do drone-focused scouting platforms differ from satellite-first platforms?
PrecisionHawk unifies drone-derived agronomy imagery through flight planning, automated image capture, and map-based problem identification with report generation. Arable and CropX prioritize satellite-driven monitoring and mapping, then use scouting tasks to confirm and act on remote signals in the field.
What are common technical requirements for running these scouting workflows reliably in the field?
Tools like Prospera and Raven AI depend on dependable mobile capture of imagery and consistent annotation to produce structured records for review. Platforms such as PrecisionHawk rely on drone workflows that include flight planning and automated ingestion of captured images into map-based scouting analytics.
How should teams choose between a dedicated scouting trail tool and a broader farm operations tracking tool?
Raven AI and Prospera prioritize a scouting trail that ties visual evidence to field and growth-stage documentation. FarmERP and Agworld extend beyond scouting records by centering operations visibility with scouting plan management, task assignment, and action tracking tied to crops and timing.
Conclusion
After evaluating 10 agriculture farming, Prospera 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.
Tools reviewed
Referenced in the comparison table and product reviews above.
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