farm resilience / Farm owners, managers, agronomists, livestock professionals, advisers, researchers, statisticians, technology evaluators, procurement teams, vendors, and data stewards
Agricultural multi-site evidence transfer review
Review whether evidence from other farms, fields, facilities, seasons or populations can inform a local decision by comparing question, treatment, unit, context, methods, implementation, uncertainty, conflicts and transfer limits.
See the whole mission
Orient before entering the field.
Connect the intended outcomes, operating stages, stop conditions, and supporting technology concepts before opening the detailed action sequence.
- 01Separate a relevant source from one that merely uses the same product, crop, animal or technology label
- 02Compare populations, environments, management, equipment, implementation, outcomes and methods across sites
- 03Preserve conflicting, null and incomplete results instead of averaging away important differences
- 04Produce a bounded local use decision with uncertainty, monitoring and stop conditions
- 01Frame the local decision
Evidence transfer is meaningless without a defined local population, workflow, comparator, outcome, consequence and alternative.
3 field actions ↓ - 02Build a source evidence matrix
A headline result cannot reveal whether source populations, design, implementation and measurements resemble local use.
3 field actions ↓ - 03Compare transfer dimensions
Soil, climate, cultivar, breed, management, operator, machinery, connectivity, scale and support can alter performance and failure modes.
3 field actions ↓ - 04Make a bounded transfer decision
Evidence can justify learning or a limited pilot without supporting farm-wide adoption or a universal performance claim.
3 field actions ↓
- G01
This review provides no statistical pooling method, treatment recommendation, product ranking, economic forecast, agronomic prescription or procurement conclusion.
- G02
More sources do not eliminate shared bias, duplicated experiments, selective publication, inconsistent outcomes or lack of local applicability.
- G03
Use qualified domain and statistical support for consequential synthesis, and use a safe bounded local trial where transfer uncertainty remains material.
Frame the local decision
Evidence transfer is meaningless without a defined local population, workflow, comparator, outcome, consequence and alternative.
- 01Record the local farm decision, target fields, facilities or populations, season, management, treatment or technology, comparator, primary outcomes and practical importance
- 02Identify safety, welfare, environmental, regulatory, privacy, operational and financial consequences and the authority responsible for acceptance
- 03State what existing practice, smaller pilot, delay or no-action alternative remains available and what evidence would change the decision
Build a source evidence matrix
A headline result cannot reveal whether source populations, design, implementation and measurements resemble local use.
- 01For each source, record question, population, unit, setting, season, treatment and comparator, assignment, replication, implementation, outcome methods, analysis, uncertainty and limitations
- 02Capture funding, conflicts, publication or review status, protocol and data availability, deviations, exclusions, missingness, null or adverse findings and source date
- 03Keep original site-level results visible; do not treat multiple articles from one experiment as independent evidence
Compare transfer dimensions
Soil, climate, cultivar, breed, management, operator, machinery, connectivity, scale and support can alter performance and failure modes.
- 01Compare biological, physical, geographic, seasonal, operational, technical, labor, infrastructure, data, service and economic context with the local case
- 02Classify each dimension as sufficiently similar, different but explainable, materially different, unknown or not applicable and link the supporting evidence
- 03Identify effect modifiers, implementation dependencies, minimum conditions, failure scenarios and subgroups for which evidence is absent
Make a bounded transfer decision
Evidence can justify learning or a limited pilot without supporting farm-wide adoption or a universal performance claim.
- 01Record the synthesis method, disagreements, uncertainty, applicability and confidence separately from commercial preference or urgency
- 02Choose reject, seek evidence, observe, run a bounded local trial, conditionally pilot or accept for the stated use with named decision owner and rationale
- 03Define local acceptance evidence, monitoring, fallback, stop conditions, review date and claims that remain prohibited
Continue through the operation
See where this field guide fits.
Move beyond one task into the complete evidence, technology, operating, and review sequence around it.
Run the farm disaster resilience chain
Move from authoritative hazard information and farm exposure mapping through warning delivery, accountability, continuity, critical-load review, safe damage evidence, authorized reporting, recovery acceptance and governed records.
- 01 / RECEIVEUnderstand agricultural hazard alertsTechnology→
- 02 / DRILLExercise the severe-weather warning chainField guide→
- 03 / MAP CONNECTIVITYUnderstand farm coverage mappingTechnology→
- 04 / SURVEYSurvey one farm workflowField guide→
- 05 / ARCHITECTUnderstand IoT connectivity dependenciesTechnology→
- 06 / REVIEW CHAINReview one connected endpointField guide→
- 07 / CONTINUEUnderstand communications continuityTechnology→
- 08 / EXERCISE OUTAGERun a connectivity outage tabletopField guide→
- 09 / COORDINATEUnderstand farm emergency coordinationTechnology→
- 10 / HAND OFFRun the communication and continuity drillField guide→
- 11 / KEEP ALIVETest farm critical-load resilienceField guide→
- 12 / DOCUMENTUnderstand disaster damage evidenceTechnology→
- 13 / AUDITAudit the post-disaster evidence packageField guide→
- 14 / DEFINE TECHNOLOGYUnderstand technology requirementsTechnology→
- 15 / WORKSHOPRun the requirements workshopField guide→
- 16 / PILOTUnderstand pilot acceptanceTechnology→
- 17 / TESTDesign the pilot evidence planField guide→
- 18 / COSTUnderstand lifecycle cost evidenceTechnology→
- 19 / REVIEW COSTReview the lifecycle modelField guide→
- 20 / RETAINReconnect the operational historyTechnology→
- 21 / GOVERNGovern sensitive incident evidenceTechnology→
- 22 / CONTROL ACCESSUnderstand identity and access lifecycleTechnology→
- 23 / AUDIT ACCESSTrace one role end to endField guide→
- 24 / ASSURE RECOVERYUnderstand backup and recovery assuranceTechnology→
- 25 / TEST RESTOREReview restore readinessField guide→
- 26 / CONTROL CHANGEUnderstand technology change controlTechnology→
- 27 / REVIEW CHANGEPrepare one bounded changeField guide→
- 28 / EXPORTUnderstand agricultural data portabilityTechnology→
- 29 / AUDIT PORTABILITYTest one representative exportField guide→
- 30 / GOVERN EXITUnderstand vendor exit governanceTechnology→
- 31 / REVIEW EXITBuild the supplier exit registerField guide→
- 32 / RETIREUnderstand secure decommissioningTechnology→
- 33 / VERIFY RETIREMENTReview one connected assetField guide→
- 34 / TRANSFERUnderstand ownership-transfer assuranceTechnology→
- 35 / HAND OVERRun the connected-equipment transfer reviewField guide→
- 36 / IDENTIFYUnderstand master data and identifiersTechnology→
- 37 / CROSSWALKReconcile one entity classField guide→
- 38 / ORDER TIMEUnderstand event-time integrityTechnology→
- 39 / REVIEW TIMEReconstruct one farm timelineField guide→
- 40 / REFERENCE SPACEUnderstand geospatial assuranceTechnology→
- 41 / REVIEW SPACEAudit one spatial handoffField guide→
- 42 / TRACEUnderstand data provenance and lineageTechnology→
- 43 / AUDIT LINEAGETrace one agricultural recordField guide→
- 44 / GOVERN AIUnderstand agricultural AI governanceTechnology→
- 45 / REVIEW AIReview one proposed AI use caseField guide→
- 46 / EVALUATE AIUnderstand performance evidenceTechnology→
- 47 / AUDIT CLAIMAudit one AI performance claimField guide→
- 48 / MONITOR AIUnderstand model drift assuranceTechnology→
- 49 / REVIEW DRIFTReview one deployed modelField guide→
- 50 / HAND OFFUnderstand human–AI decision handoffTechnology→
- 51 / EXERCISERun the human–AI handoff tabletopField guide→
- 52 / DESIGN TRIALUnderstand on-farm trial designTechnology→
- 53 / REVIEW TRIALReview one treatment protocolField guide→
- 54 / ASSURE MEASUREMENTUnderstand measurement assuranceTechnology→
- 55 / CHECK REPEATABILITYAudit one measurement chainField guide→
- 56 / GOVERN DEVIATIONSUnderstand deviation governanceTechnology→
- 57 / AUDIT EXCLUSIONSAudit deviations and exclusionsField guide→
- 58 / SYNTHESIZEUnderstand evidence transferTechnology→
- 59 / REVIEW TRANSFERReview multi-site evidenceField guide→
- 60 / BOUND AUTONOMYUnderstand autonomy operating domainsTechnology→
- 61 / REVIEW DOMAINReview one autonomous missionField guide→
- 62 / COVER PERCEPTIONUnderstand robot perception coverageTechnology→
- 63 / AUDIT VISIONAudit one perception claimField guide→
- 64 / SUPERVISEUnderstand autonomous mission supervisionTechnology→
- 65 / EXERCISE CONTROLRun the supervision tabletopField guide→
- 66 / FALL BACKUnderstand robot fallback and recoveryTechnology→
- 67 / REHEARSE RECOVERYRun the fallback and recovery tabletopField guide→
- 68 / AUDIT POLICYAudit the crop-insurance registerField guide→
- 69 / AUDIT ACRESAudit the acreage reportField guide→
- 70 / AUDIT PRODUCTIONAudit production historyField guide→
- 71 / AUDIT NOTICEAudit loss notice and inspectionField guide→
- 72 / AUDIT CLAIMAudit claim settlementField guide→
- 73 / REVIEW SUPPLIERReview input supplier resilienceField guide→
- 74 / AUDIT ORDERAudit the input orderField guide→
- 75 / AUDIT DELIVERYAudit input receivingField guide→
- 76 / RECONCILE INVENTORYAudit input custodyField guide→
- 77 / CLOSE PAYMENTAudit procurement paymentField guide
Review multi-site evidence
Turn external evidence into a bounded local decision, monitoring plan and explicit stop conditions.