Industrial & Manufacturing Agriculture & Food Agricultural Technology

Precision Agronomy

Safety, traceability, and partner coordination across supply networks.

Example organizations in this space: Trimble Agriculture John Deere Climate (Bayer) Indigo Ag

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
  1. 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 Options: 1-5 fields, 6-20 fields, 21-50 fields, More than 50 fields
    • 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 Options: Grid soil samples, Composite soil samples, Yield maps, Satellite NDVI or vegetation indices, Drone imagery, Topography/DEM, Weather station data
    • In your experience, what minimum contiguous acreage makes a field a useful test case for a representative pilot Options: Under 50 acres, 50-150 acres, 151-500 acres, Over 500 acres
    • 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 Options: Seed placement/density, Starter or phosphate, Nitrogen timing and rate, Pesticide overlap, All of the above, Unsure
    • Estimate your current target ROI per acre for seed and for nitrogen, using ranges if exact figures aren't available Options: Negative to $10/acre, $10-$30/acre, $31-$60/acre, Over $60/acre, No target defined
    • Which inputs do you suspect are most often overapplied across productive zones, and which are most often underapplied in marginal zones Options: Seed, Nitrogen, Phosphorus, Potassium, Crop protection, Not sure
    • 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 Options: We model ROI per zone, We use consultant estimates, We rely on gut/experience, We do not quantify it
    • Which single financial or agronomic metric would make you expand from a pilot to a full program immediately Options: Net ROI per acre, Percentage yield lift, Payback period in months, Reduction in input spend, Operator time savings

    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 Options: Owner, 1-2 weeks, Operations manager, 1-3 days, Independent consultant, 1-2 weeks, Shared decision, variable
    • Which roles must be engaged for a pilot to proceed, for example owner, operations manager, crop consultant, or equipment lead Options: Owner/CEO, Operations manager, Independent crop consultant, Equipment operator/lead, Agronomist on staff, Procurement/legal
    • 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 Options: Budget sign-off, Operational readiness confirmation, Commercial agreement, No barriers
    • 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 Options: Major OEM monitor formats, ISOXML-compatible displays, Shapefile plus CSV workflow, Custom vendor format with conversion, No direct acceptance
    • Which file formats and export methods are available today for your planters, spreaders, and sprayers Options: ISOXML/ADF, Shapefile plus CSV, Proprietary vendor file, API transfer, Unknown
    • 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 Options: Farm technician/equipment lead, Operations manager, Independent consultant, IT/precision ag specialist, Other
    • Are automated exports or APIs available from your farm management system to push field data to a partner platform Options: Yes, APIs available, Yes, scheduled exports, No, manual exports only, Not sure
    • 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 Options: Seeding rate, Fertilizer by zone, Crop protection placement, Hybrid/variety placement, All of the above
    • How will you structure side-by-side controls in the pilot, strips, whole-field randomized plots, or another design Options: Longitudinal strips, Paired whole-field control, Randomized plots, Farmer-designed comparison, Unsure
    • Which success metrics are must-haves for you to sign and scale after the pilot Options: Net ROI per acre, Yield lift percent, Reduction in input cost, Operational time saved, Farmer/driver acceptance
    • Which operator role will run the equipment during the pilot and what experience do they have importing prescription maps Options: Experienced in-file import, Some experience with help, No experience, will need training, Contract operator
    • 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 Options: Procurement/budget, Legal contract, Operational readiness, No additional approvals

    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 Options: Timing missed planting window, Poor data quality, Operator errors on downloads, No clear ROI, Internal politics
    • Are there regulatory, cooperative membership, or crop-label constraints that could limit variable-rate application on these acres Options: Yes, regulatory constraints, Yes, co-op or supplier restrictions, No constraints known, Unsure
    • Which roles or departments would need to sign data-access, privacy, or liability agreements before we can ingest and use your field files Options: Owner/management, Legal/procurement, Crop consultant, Cooperative rep, Other
    • How quickly could your team resolve an equipment integration failure during peak season, and who would lead that effort Options: Within 24 hours, in-house, 48-72 hours with outside help, Longer than 72 hours, No plan in place
    • If a regulatory or equipment delay pushed prescriptions past your application window, would you proceed, pause, or cancel the pilot Options: Proceed with adjusted timing, Pause until next window, Cancel this season

    Other paths you may be weighing

    • What other solutions, incumbent providers, or internal plans are you actively comparing us against right now Options: Incumbent third-party provider, Internal build plan, Co-op or local consultant, No direct alternative yet
    • Have any internal team members proposed solving this capability in-house, and if so who would lead it and what timeline did they propose Options: Yes, operations would lead, Yes, agronomy would lead, No internal proposal, Unsure
    • 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 Options: Meets ROI targets, Simpler operational workflow, Lower cost, Better data control
    • Which internal concerns about switching providers are strongest right now, for example data ownership, operator training, or integration effort Options: Data ownership, Operator training, Integration with monitors, Cost and contracts, Other
    • 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 Options: Immediate budget available, Operational readiness confirmed, No procurement blockers, Other

    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 Options: Budget approval, Operational lead sign-off, Legal review complete, No milestone required
    • Which legal, procurement, or insurance steps must finish before a paid pilot can begin Options: Standard master services agreement, Data processing agreement, Proof of insurance, No formal steps required
    • Are there budget windows or fiscal timing constraints that would prevent you from starting a paid deployment next season Options: Yes, seasonal budget only, Yes, fiscal year constraints, No timing constraints, Unsure
    • Which role must give final approval to sign a scaled agreement and how quickly do they typically respond Options: Owner/CEO, quick response, Operations manager, within a week, Procurement/legal, multi-week, Depends on season
    • 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 Options: Technical onboarding call, Pilot scoping session, Commercial terms discussion, Not sure, need guidance
  2. 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
  3. 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? Options: < 500 acres, 500-2,000 acres, 2,000-10,000 acres, > 10,000 acres
    • Which file formats do your current field boundaries exist in? Options: ESRI Shapefile, GeoJSON, KML, CSV (lat/long), Drawn in-platform
    • Do you have management unit boundaries (existing zones) that should be preserved during enrollment? Options: Yes, No, Some fields only
    • Who on your team will be responsible for uploading boundary files and validating georeference (e.g., farm manager, consultant)? Options: You will upload, External consultant will upload, We need seller assistance, Other
    • Which coordinate reference system do your boundary files use or require (for example WGS84 or a state plane)? Options: WGS84, State Plane / Local projection, Unknown — need help identifying

    Ingest and Normalize Soil Sampling Grids

    • Which soil sampling scheme do your lab results follow for the enrolled fields? Options: Regular grid samples (e.g., 2.5 acre), Management-zone composites, Field composites, Strip samples
    • Which file or data formats contain your soil lab results and GPS points? Options: CSV with GPS, Shapefile with attributes, Direct lab portal export, PDF lab reports
    • 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). Options: 0-6 in, 0-8 in, 0-12 in, 0-24 in, Mixed depths
    • Are there lab quality documents (chain of custody or lab certificates) to attach for QA on samples? Options: Yes — attach, No, Available on request from lab

    Ingest and Process Historical Yield Maps

    • How many years of yield monitor data do you have per enrolled field? Options: None, 1 year, 2-3 years, 4+ years
    • Which yield file formats can you provide from your combines (for example aggregated shapefile/CSV or machine header logs)? Options: Aggregated yield shapefile/CSV, Harvester header logs, GeoTIFF yield rasters, Other
    • Describe how your team currently handles moisture correction for harvester yield data and whether corrected yields are available. Options: Moisture-corrected available, Raw yields only, We need assistance performing correction
    • 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? Options: Yes — remove headlands and noise, No — keep raw traces, Only remove headlands

    Integrate Satellite Vegetation Imagery

    • Which satellite vegetation indices do you want used for zone-building and in-season triggers (NDVI, OSAVI, NDRE, others)? Options: NDVI, NDRE, OSAVI, Custom index
    • Which imagery cadence and cloud-tolerance do you require for season monitoring (for example weekly with <10% cloud cover)? Options: Daily (cloud permitting), Weekly, Bi-weekly, Monthly
    • Do you have ground truth points (scouting notes or in-field sensor readings) to calibrate satellite indices for your crop types? Options: Yes — GPS-tagged scouting points, No, Some fields only
    • 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? Options: Tiled rasters, Clipped vector summaries, Both

    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)? Options: On-site station, Gridded public model, Third-party commercial feed, No preference
    • What temporal resolution do you need for weather inputs (hourly, 3-hourly, daily)? Options: Hourly, 3-hourly, Daily
    • Which digital elevation model (DEM) resolution is available or acceptable for your fields? Options: 1-3 meter, 5-10 meter, 30 meter, Unknown — need recommendation
    • 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? Options: No restrictions, Requires farm approval, Not allowed

    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? Options: Clustering (data-driven), Rule-based (thresholds), Expert-drawn, Hybrid
    • What target number of management zones per field do you want as a starting point? Options: 2-3 zones, 4-6 zones, 7-10 zones, Custom
    • Specify the minimum practical zone size for your equipment and field operations (for example acres per zone to avoid excessive switching). Options: < 1 acre, 1-5 acres, 5-10 acres, >10 acres
    • 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? Options: You (farm manager), Independent consultant, Group approval required, Seller approval only

    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? Options: Single variety across field, Multiple varieties by zone, Variety mapping not required
    • 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)? Options: Yes — include notes, No
    • 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? Options: lb N/acre, lb P2O5/acre, Product blend rates required, Other
    • Indicate allowed application timing for variable-rate fertilizer (pre-plant, sidedress, in-season topdress). Options: Pre-plant, Sidedress, In-season topdress, Multiple
    • 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? Options: Blend maps, Nutrient-rate maps only, Either — we will decide
    • Who will approve the final fertilizer prescription before file conversion for equipment? Options: You, Independent agronomist, Both

    Generate Agronomist-Calibrated Crop Protection Prescriptions

    • Which crop protection application types should support variable prescription (early-season herbicide, targeted fungicide, insecticide strips)? Options: Herbicide, Fungicide, Insecticide, All of the above
    • 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)? Options: Yes — list restrictions, No
    • Indicate whether section-control resolution (minimum strip width) is constrained by sprayer boom section size that we should model. Options: Yes — provide section width, No constraint, Unknown — need to confirm
    • Who on your team is authorized to sign off on crop protection prescriptions given label and compliance risk? Options: You, Licensed applicator, Third-party consultant

    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)? Options: ISOXML, Shapefile prescription, CSV rate table, Other
    • Specify whether prescriptions need to be converted into per-row prescriptions or field-wide rate maps for your planters and applicators. Options: Per-row prescriptions, Field-wide rate maps, Either
    • 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)? Options: Operator via USB, In-cab upload via telemetry, Cloud sync to integrator, Other
    • 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? Options: Operator, You (farm manager), Third-party service, Seller assistance required
    • Select the visualization checks you require in-cab before application (rate legend, zone boundaries, per-row rates, layer visibility). Options: 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? Options: 1 field/sample, 2-3 fields/samples, 4+ fields/samples
    • 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)? Options: Cab screenshots, Operator sign-off form, Applied test logs, Combination

    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. Options: Paired strips within fields, Randomized strips across fields, Whole-field comparisons
    • How many replications per treatment do you require to achieve your desired statistical confidence? Options: 1 replication, 2-3 replications, 4+ replications
    • Who will be responsible for application execution and operator training for the trial strips? Options: You / your operator, Independent consultant, Seller provides training
    • What acceptance criteria will define a successful pilot trial for you (for example yield delta >= X bu/acre or economic return > $Y/acre)? Options: Absolute yield delta threshold, Economic ROI threshold, Statistical significance at p<0.05, Custom — describe
  4. 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
  5. Field Deployment

    Plan and execute data ingestion, agronomy reviews, prescription delivery, equipment integration tests, and in-field application sequencing with named owners and dates.

  6. 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
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