farm resilience / Farmers, managers, agronomists, livestock professionals, researchers, statisticians, equipment operators, advisers, technology providers, and data stewards
On-farm treatment trial protocol review
Review one proposed farm comparison from its decision question through treatment, comparator, experimental unit, assignment, replication, blocking, execution, measurement, analysis, deviations and bounded interpretation.
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.
- 01Convert a farm question into an explicit treatment, comparator, population, primary outcome and decision boundary
- 02Identify the real experimental unit and distinguish independent replication from repeated observations
- 03Expose spatial, operational and temporal differences that could imitate a treatment effect
- 04Freeze execution, measurement, deviation and interpretation rules before results are visible
- 01Bound the question and claim
A trial cannot support a clear decision when treatment, comparator, population, outcome, timing or practical importance remain undefined.
3 field actions ↓ - 02Map units, assignment and field variation
Many sensor cells or plants inside one assigned strip do not create independent treatment replications.
3 field actions ↓ - 03Freeze execution and measurement
The design can be undermined by wrong treatment identity, unequal management, unrecorded changes or measurements that differ by treatment.
3 field actions ↓ - 04Predefine analysis and release
Choosing outcomes, exclusions or analysis after seeing results can turn ordinary variation into an overconfident conclusion.
3 field actions ↓
- G01
This review provides no treatment, plot size, replication count, sample size, statistical test, agronomic setting, animal protocol or regulatory conclusion.
- G02
A randomized or replicated layout does not repair unsafe work, poor treatment identity, biased measurements, protocol deviations or inappropriate analysis.
- G03
Use qualified local agronomic, livestock, statistical, safety, ethics and regulatory expertise for the exact trial and decision.
Bound the question and claim
A trial cannot support a clear decision when treatment, comparator, population, outcome, timing or practical importance remain undefined.
- 01Record the farm decision, intended population and season, treatment and comparator, primary outcome, observation timing, practical relevance and conclusions explicitly outside scope
- 02Separate the operational question from marketing claims, exploratory observations, safety decisions, regulatory obligations and economic assumptions
- 03Name protocol, field, measurement, analysis and acceptance owners and identify where qualified statistical, domain, safety or regulatory review is required
Map units, assignment and field variation
Many sensor cells or plants inside one assigned strip do not create independent treatment replications.
- 01Identify the independently assignable experimental unit, treatment unit and observation unit; document nesting, repeated measures, interference and carryover
- 02Map field, facility or group variation, access, machinery dimensions, gradients, buffers, prior management and operational constraints that may affect comparison
- 03Review the proposed assignment, comparison, blocking and replication logic with qualified support without selecting a universal design or sample size
Freeze execution and measurement
The design can be undermined by wrong treatment identity, unequal management, unrecorded changes or measurements that differ by treatment.
- 01Version the treatment map, identities, sequence, equipment setup, common management, permitted adjustments, buffers, stop conditions and operator instructions
- 02Define the primary measurement method, units, timing, calibration or reference checks, sample identity, aggregation to the experimental unit and raw-data retention
- 03Predefine deviation, missing-data, contamination and exclusion recording while keeping original and corrected evidence together
Predefine analysis and release
Choosing outcomes, exclusions or analysis after seeing results can turn ordinary variation into an overconfident conclusion.
- 01Document dataset version, primary unit and outcome, analysis matched to design, uncertainty, missing and excluded units, multiple outcomes and sensitivity questions
- 02Require the final report to show design, execution, deviations, field and season context, practical magnitude, uncertainty and alternative explanations
- 03State where the conclusion may transfer, where it may not, which decision it informs and what new evidence is required before broader use
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 one treatment protocol
Freeze unit, assignment, execution, measurement, deviation and analysis plans before results are visible.