Precision Agronomy
Safety, traceability, and partner coordination across supply networks.
This interactive experience is the shipped product itself — the same application code customers run in production, mounted read-only in your browser over a real sample journey. Not a video, not a mockup: because the demo and the product are one codebase, it can never drift from the real thing.
Inside this journey
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Field Outcome Discovery
Capture current field data sources, equipment capabilities, decision timelines, stakeholders, and measurable ROI targets for trials and scale.
Discovery Questions
A quick tour of the fields you're considering
- Tell me about the fields you want to include in this engagement, including crops, typical field size, and dominant soil textures
- In a typical season, how many distinct fields would you consider eligible for a pilot or variable-rate program
- Walk me through the last time you changed planting or fertilizer plans for a field, what triggered the change and what happened next
- Which of these data sources do you regularly collect for these fields
- In your experience, what minimum contiguous acreage makes a field a useful test case for a representative pilot
- If a pilot showed no measurable ROI after one full season, what condition would make you stop further trials immediately
Where your current approach is costing you money
- Where in your operation do you suspect flat-rate inputs are costing you the most per acre
- Estimate your current target ROI per acre for seed and for nitrogen, using ranges if exact figures aren't available
- Which inputs do you suspect are most often overapplied across productive zones, and which are most often underapplied in marginal zones
- When you overlay recent yield maps with last season's input spend, what patterns surprised you or contradicted expectations
- How do you currently quantify lost opportunity from misapplied inputs or missed zones of potential
- Which single financial or agronomic metric would make you expand from a pilot to a full program immediately
Who needs to sign off when the plan changes
- Who signs off to change seeding rates or nitrogen plans across your operation, and how long does that approval usually take
- Which roles must be engaged for a pilot to proceed, for example owner, operations manager, crop consultant, or equipment lead
- Describe how decisions are made during narrow application windows like planting or sidedress, including who is consulted and typical timing
- If the pilot delivers your target ROI, what approvals or contracts would be required to begin paid deployment the following season
- Which person or role can commit budget for a scaled program within 30 days if the pilot proves the number
Data and equipment reality check
- If we needed prescription-ready files this week, which of your monitors or farm systems could accept them without file conversion
- Which file formats and export methods are available today for your planters, spreaders, and sprayers
- Describe the cleanliness, centralization, and known gaps in your yield and soil datasets, including how often files are updated and where they are stored
- Which role maintains equipment monitors and acts as the primary contact for prescription uploads
- Are automated exports or APIs available from your farm management system to push field data to a partner platform
- What single data gap would prevent us from running a representative pilot inside your planting or application window
Pilot design, metrics, and what success actually looks like
- If you could only run a single field pilot this season, which field would best prove value and why
- Which prescription modules do you want to test in the pilot
- How will you structure side-by-side controls in the pilot, strips, whole-field randomized plots, or another design
- Which success metrics are must-haves for you to sign and scale after the pilot
- Which operator role will run the equipment during the pilot and what experience do they have importing prescription maps
- If the pilot hits the stated ROI target, what internal or external approvals would need to clear before you could sign a scaled commercial agreement
Obstacles, compliance, and things that stop pilots
- What has caused past pilots or trials on your operations to stall or fail to convert to a paid program
- Are there regulatory, cooperative membership, or crop-label constraints that could limit variable-rate application on these acres
- Which roles or departments would need to sign data-access, privacy, or liability agreements before we can ingest and use your field files
- How quickly could your team resolve an equipment integration failure during peak season, and who would lead that effort
- If a regulatory or equipment delay pushed prescriptions past your application window, would you proceed, pause, or cancel the pilot
Other paths you may be weighing
- What other solutions, incumbent providers, or internal plans are you actively comparing us against right now
- Have any internal team members proposed solving this capability in-house, and if so who would lead it and what timeline did they propose
- For the option you are most likely to keep, what would have to be true about its performance for you to stay with it instead of switching
- Which internal concerns about switching providers are strongest right now, for example data ownership, operator training, or integration effort
- If the pilot meets your target ROI this season, what would convince you to switch to a new provider this season rather than wait until next year
Readiness checklist and the decisive questions
- If everything in the pilot matched expectations, what internal milestone would allow you to sign a commercial agreement within 30 days
- Which legal, procurement, or insurance steps must finish before a paid pilot can begin
- Are there budget windows or fiscal timing constraints that would prevent you from starting a paid deployment next season
- Which role must give final approval to sign a scaled agreement and how quickly do they typically respond
- What single unresolved issue today would make you pause or cancel the project immediately
- Would you prefer the next engagement step to be a technical onboarding call, a pilot scoping session, or a commercial terms discussion
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Prescription Walkthrough
Walk through how integrated soil, yield, imagery, and weather data produce equipment-ready variable-rate prescriptions and compare expected outcomes to the buyer's baseline.
Solution Experience
- Prescription Walkthrough
- Confirm the current state and its cost to your operations
- You confirm the stated current state and the costs it creates for input spend, timing risk, or trial validity.
- Provide soil, yield, and representative imagery exports for the proposed pilot fields.
- Seller to run the prescription build for the provided pilot fields and deliver equipment-ready files plus an ROI-per-acre comparison before the follow-up session.
- Show how layered data builds management zones for your fields
- You confirm the demonstrated zone and prescription workflow produces equipment-ready files that match your monitor format and agronomic expectations.
- Walk through prescription generation and equipment file export
- You accept the modeled ROI per acre comparison as a credible basis for a pilot and identify any assumptions that need refinement.
- Define and share the side-by-side trial layout and acceptance criteria for pilot success.
- You agree on pilot fields, success metrics, and the next deliverables required to start the trial.
- Compare expected outcomes against your baseline
- Validation question
- Agree pilot scope and next steps for trial execution
- Prescription Walkthrough
- Prescription Walkthrough Deck
- Prescription Walkthrough Brief
- meeting
- slides
- document
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Pilot & Scope
Define pilot fields, zone mapping approach, prescription modules (seed, fertilizer, crop protection), equipment file formats, trial design, and success metrics.
Scope Configuration
- Enroll Fields and Import Boundaries
- Ingest and Normalize Soil Sampling Grids
- Ingest and Process Historical Yield Maps
- Integrate Satellite Vegetation Imagery
- Integrate Weather and Topography Models
- Build Management Zones from Layered Data
- Generate Agronomist-Calibrated Seed Prescriptions
- Generate Agronomist-Calibrated Fertilizer Prescriptions
- Generate Agronomist-Calibrated Crop Protection Prescriptions
- Convert Prescriptions to Equipment-Ready Files
- Validate Prescription Files on Cab Displays
- Deploy Pilot Side-by-Side Comparison Strips
- Season-Long Satellite Monitoring and Triggered Updates
- Post-Harvest Yield Ingestion and Zone Refinement
Scope Questions
Enroll Fields and Import Boundaries
- How many fields and total acres do you want enrolled for this pilot?
- Which file formats do your current field boundaries exist in?
- Do you have management unit boundaries (existing zones) that should be preserved during enrollment?
- Who on your team will be responsible for uploading boundary files and validating georeference (e.g., farm manager, consultant)?
- Which coordinate reference system do your boundary files use or require (for example WGS84 or a state plane)?
Ingest and Normalize Soil Sampling Grids
- Which soil sampling scheme do your lab results follow for the enrolled fields?
- Which file or data formats contain your soil lab results and GPS points?
- Attach or list the soil nutrient units your lab uses so we can normalize (for example ppm, lb/acre, meq/100g).
- Identify the sample depths represented in your soil files (for example 0-6 in, 0-8 in, 0-24 in).
- Are there lab quality documents (chain of custody or lab certificates) to attach for QA on samples?
Ingest and Process Historical Yield Maps
- How many years of yield monitor data do you have per enrolled field?
- Which yield file formats can you provide from your combines (for example aggregated shapefile/CSV or machine header logs)?
- Describe how your team currently handles moisture correction for harvester yield data and whether corrected yields are available.
- Specify any known GPS offset or combine header calibration notes that affect yield alignment in fields.
- Do you want yield maps processed to remove headland passes and machine noise as part of normalization?
Integrate Satellite Vegetation Imagery
- Which satellite vegetation indices do you want used for zone-building and in-season triggers (NDVI, OSAVI, NDRE, others)?
- Which imagery cadence and cloud-tolerance do you require for season monitoring (for example weekly with <10% cloud cover)?
- Do you have ground truth points (scouting notes or in-field sensor readings) to calibrate satellite indices for your crop types?
- Indicate any fields where tree cover, irrigation pivot geometry, or small field size will limit usable satellite pixels.
- Would you like imagery layers delivered as tiled rasters or clipped vector summaries per management polygon?
Integrate Weather and Topography Models
- Which weather data sources can you provide or want used (on-site weather stations, national gridded models, third-party stations)?
- What temporal resolution do you need for weather inputs (hourly, 3-hourly, daily)?
- Which digital elevation model (DEM) resolution is available or acceptable for your fields?
- List any topographic features to model explicitly (e.g., terraces, seasonal drainageways, knolls) for water- or nutrient-related zoning.
- Are there installation or sensor maintenance restrictions for installing a temporary on-farm weather station if we recommend it?
Build Management Zones from Layered Data
- Which zoning method do you prefer for the pilot: clustering of data layers, rule-based agronomic zones, or hand-drawn expert polygons?
- What target number of management zones per field do you want as a starting point?
- Specify the minimum practical zone size for your equipment and field operations (for example acres per zone to avoid excessive switching).
- Indicate which layers must be mandatory in zone delineation (for example soil P, yield history, NDVI mid-season).
- Who on your side will approve the initial zone map before prescriptions are generated?
Generate Agronomist-Calibrated Seed Prescriptions
- Provide the seeding rate units and typical target populations you use (for example seeds/acre or pounds/acre) for the crop in each enrolled field.
- Which seed varieties or maturity groups must be mapped to zones as constraints for seed prescriptions?
- Specify any planter controller limitations we must respect when generating ramping or rate-change rules (for example max change per second or min segment length).
- Do you require agronomist notes embedded in the prescription files for operator reference (for example target population and rationale per zone)?
- Estimate the maximum and minimum seeding rates you are willing to accept in any zone (for safety and seed inventory planning).
Generate Agronomist-Calibrated Fertilizer Prescriptions
- Which nutrient units must prescriptions use (e.g., lb N/acre, lb P2O5/acre) and do you require conversion to product blend rates?
- Indicate allowed application timing for variable-rate fertilizer (pre-plant, sidedress, in-season topdress).
- Specify any maximum single-point or field-average rate caps required by your risk tolerance or product label constraints.
- Do you need prescriptions expressed as blend maps for spreaders (product A + product B) or only as nutrient-rate maps?
- Who will approve the final fertilizer prescription before file conversion for equipment?
Generate Agronomist-Calibrated Crop Protection Prescriptions
- Which crop protection application types should support variable prescription (early-season herbicide, targeted fungicide, insecticide strips)?
- Specify regulatory or label constraints we must encode in prescriptions (maximum gpa, buffer distances from waterways, pre-harvest intervals).
- Do you require zone-level product restrictions (for example do-not-apply zones such as sensitive habitat or organic-certified strips)?
- Indicate whether section-control resolution (minimum strip width) is constrained by sprayer boom section size that we should model.
- Who on your team is authorized to sign off on crop protection prescriptions given label and compliance risk?
Convert Prescriptions to Equipment-Ready Files
- Which equipment file formats must we produce for your cab displays and controllers (for example ISOXML, shapefile-based prescription, CSV rate table)?
- Specify whether prescriptions need to be converted into per-row prescriptions or field-wide rate maps for your planters and applicators.
- Define the discretization tolerance for rates when converting continuous zone rates to equipment step sizes (for example 1 lb/acre increments).
- Who will receive the equipment-ready files in the cab (operator, agronomist, service tech) and how will files be transferred (USB, in-cab upload, cloud sync)?
- Identify any equipment firmware or controller versions we must target to ensure compatibility with generated file types.
Validate Prescription Files on Cab Displays
- Who will perform in-cab validation tests for prescription files (operator, you, third-party service), and where will tests take place?
- Select the visualization checks you require in-cab before application (rate legend, zone boundaries, per-row rates, layer visibility).
- How many test-load fields or sample points do you want validated in-cab prior to full deployment?
- Provide the acceptable tolerance for load/display mismatches (for example visual mismatch < 5% of area or rate delta < 5 lb/acre).
- What evidence will validate successful in-cab validation (for example screenshots from cab, operator sign-off form, or test-application logs)?
Deploy Pilot Side-by-Side Comparison Strips
- Which fields or acres do you nominate as pilot strips for side-by-side comparison?
- Select the trial layout you prefer: paired strips within fields, randomized strips across fields, or whole-field comparisons.
- How many replications per treatment do you require to achieve your desired statistical confidence?
- Who will be responsible for application execution and operator training for the trial strips?
- What acceptance criteria will define a successful pilot trial for you (for example yield delta >= X bu/acre or economic return > $Y/acre)?
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Mutual Commit
Agree commercial terms, data-access permissions, acceptance criteria for side-by-side trials, and responsibilities for deployment and monitoring.
Agreement Modules
- Master Services Agreement (MSA)
- Statement of Work (SOW) — Pilot & Deployment
- Order Form and Subscription Agreement
- Data Processing and Access Agreement (DPA)
- Pilot Acceptance Criteria and Trial Protocol
- Integration Specification and Equipment File Format Annex
- Service Level Agreement (SLA) — Platform Access
- Change Order Agreement
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Field Deployment
Plan and execute data ingestion, agronomy reviews, prescription delivery, equipment integration tests, and in-field application sequencing with named owners and dates.
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Success
Review pilot results vs ROI per acre, ingest post-harvest yields to refine zones, and maintain a channel for issues and enhancement requests.
Success Reviews
- Go-live Health Check (weeks 1-4)
- First Measurement Review (weeks 4-10)
- Acceptance Gate and Trial Close (around day 90)
- Quarterly Success Review (ongoing)
Issues & Enhancements
- Circulate a quarterly performance summary showing ROI per acre, prescription refinement accuracy, and open enhancement counts.
- Re-run zone delineation incorporating the most recent imagery and soil updates, then publish updated prescriptions.
- Document and close the top three root causes preventing target prescription execution, with validation steps.
- Restate acceptance criteria from Pilot & Scope
- Produce a documented acceptance decision against each Pilot & Scope target, with the formal decision captured.
- If any criteria failed, agree a remediation plan with resolution timelines and verification steps.
- Confirm next steps to ingest post-harvest yields and execute zone refinements for the next season.
- Document the acceptance decision and record the signatory for the trial close in the project record.
- Ingest final post-harvest yield files and run zone refinement, then publish revised prescriptions within the agreed window.
- Execute incumbent system decommission or set to read-only, archive legacy data, and confirm no operational fallback remains.
- Rolling ROI and yield trend review
- Confirm whether rolling ROI per acre remains at or above the target recorded in Pilot & Scope and surface reasons for any drift.
- Agree the prioritized list of enhancements and issue resolutions for the next quarter, with deadlines.
- Verify ongoing adoption levels and schedule any required operator refresher training.
- Schedule ingestion of the next set of soil and yield data and run zone refinement ahead of the next planting window.
- Deliver fixes for the top two operational issues in the backlog and provide verification reports.
- Re-confirm success criteria and owners
- Confirm the data pipeline and equipment-file exports are operational for all pilot fields.
- Validate that operators have completed required tests and can load a prescription file into their monitors.
- List all critical blockers with resolution dates and owners documented for immediate follow-up.
- Fix any data ingestion or formatting errors identified in pilot fields and validate with a test prescription load.
- Schedule and complete a cab test run for each equipment model in the pilot and submit a pass/fail report.
- Publish the go-live verification checklist and the open-issue register for the pilot.
- Present first measurement dataset
- Determine whether yield difference per acre is trending toward the Pilot & Scope targets and document any variance.
- Agree a remediation plan to raise prescription execution rate to the target recorded in Pilot & Scope, with deadlines.
- Confirm the timeline and data sources required to reach the acceptance gate.
- Deliver corrected equipment-ready files or parameter updates for remaining trial acres within the agreed timeline.
- Deployment and data pipeline validation
- Post-harvest data and zone refinement status
- Present outcome data vs each criterion
- Root-cause diagnosis for gaps
- Operator and user onboarding status
- Open issues and enhancement backlog
- Document pass / fail per criterion and formal decision
- Agree corrective actions and timelines
- Adoption and operational metrics
- Early signals and sanity checks
- Confirm measurement plan to acceptance gate
- Remediation plan for any failed criteria
- Open issues and immediate remediation
- Quarter plan and escalation thresholds
- Post-harvest ingestion and zone refinement plan
- Incumbent system wind-down checkpoint