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World Farm Tech / Field guides / Agricultural UAS mission evidence plan

crop protection / UAS operators, agronomists, farm managers, remote-sensing teams, and data analysts

Agricultural UAS mission evidence plan

Connect a lawful and safe agricultural UAS mission to a precise field question, repeatable acquisition, qualified processing, ground observations, and a bounded decision record.

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.

Mission map / evidence-led operating view4 stages / 12 actions / 3 guardrails
manage phaseAgricultural UAS mission evidence plancrop protection
01 / destinationWhat good work should leave behind
  1. 01Define the field question before choosing aircraft, sensor, or flight pattern
  2. 02Preserve authority, crew, airspace, land, privacy, weather, and safety context
  3. 03Make acquisition and processing versions reproducible
  4. 04Keep image patterns separate from field diagnosis and operational authority
02 / routeMove through the decision sequence
  1. 01Frame the question and authority

    A crop-scouting image, research measurement, mapping product, dispensing operation, and autonomous response have different evidence, aviation, application, privacy, and safety boundaries.

    3 field actions ↓
  2. 02Design a repeatable acquisition

    Sensor, optics, bands, calibration, altitude, speed, overlap, illumination, wind, cloud, shadows, crop motion, positioning, and timing shape the imagery.

    3 field actions ↓
  3. 03Qualify data and processing

    Missing images, blur, exposure, rolling shutter, weak overlap, position quality, mosaicking, resampling, radiometric steps, boundaries, and visualization can create patterns.

    3 field actions ↓
  4. 04Make a bounded interpretation

    An image product can direct scouting but does not by itself prove disease, weed, nutrient, water, damage, yield, or application need.

    3 field actions ↓
03 / stop gatesConditions that require local judgment
  • G01

    This guide is not flight authorization, pilot training, airspace advice, privacy advice, pesticide approval, or an autonomous mission plan.

  • G02

    Use current aviation and application authorities because requirements differ by operation and change over time.

  • G03

    Never infer a chemical rate, diagnosis, yield result, or safe machine action from imagery alone.

04 / system contextTechnology concepts beside the practice
This map organizes the published guide; it does not authorize work or replace competent local agronomic, safety, legal, environmental, welfare, equipment, or label requirements.
Field workflow / select one stage01 of 04 / Frame the question and authority
Why this stage matters

Frame the question and authority

A crop-scouting image, research measurement, mapping product, dispensing operation, and autonomous response have different evidence, aviation, application, privacy, and safety boundaries.

  1. 01State the field question, crop and stage, area, decision owner, required timing, desired output, resolution context, and field-verification plan
  2. 02Confirm current aviation authority, aircraft and operation category, pilot and crew roles, airspace, land access, privacy, insurance, and local restrictions
  3. 03Separate imaging from dispensing or application and obtain the distinct approvals and procedures each operation requires
Follow the stages in order, then return to earlier observations whenever field conditions, crop response, safety requirements, or local guidance change the decision.

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.

LEARNING ROUTE BRIDGE / THIS NODE IN MOTION
1CONNECTED ROUTE38–38STEP POSITIONS112ROUTE SOURCE LINKS
Operating practice

Follow the complete field-season evidence loop

Move from a reviewed field model through representative soil evidence, planter setup, emerged-stand verification, nutrition, water, integrated protection, application readiness, harvest-loss diagnosis, and a qualified yield record that can support the next planning cycle.

  1. 01 / DEFINE FIELDVerify the operational field modelField guide
  2. 02 / OBSERVEBegin with representative soil evidenceField guide
  3. 03 / ESTABLISHVerify the planter in the fieldField guide
  4. 04 / VERIFYAssess the emerged standField guide
  5. 05 / PLANBuild the nutrient application decisionField guide
  6. 06 / DIAGNOSEInvestigate crop nutrient statusField guide
  7. 07 / SCHEDULE WATERBuild the irrigation scheduleField guide
  8. 08 / VERIFY FLOWQualify the flow readingField guide
  9. 09 / TEST DISTRIBUTIONRun a center-pivot uniformity checkField guide
  10. 10 / VERIFY WATERAudit application uniformityField guide
  11. 11 / RECONCILE WATERClose the field water balanceField guide
  12. 12 / INVESTIGATE CROPInvestigate suspected crop water stressField guide
  13. 13 / VERIFY VRIReview variable rate irrigation readinessField guide
  14. 14 / PROTECTUse the IPM decision loopField guide
  15. 14B / HAND OFF SAMPLEProtect the diagnostic sample handoffField guide
  16. 15 / PREPARE SPRAYERVerify sprayer calibration readinessField guide
  17. 16 / GATE APPLICATIONMake the spray-condition decisionField guide
  18. 16A / VERIFY LABELAudit the pesticide label-authority packetField guide
  19. 16B / CONTROL INVENTORYAudit pesticide inventory and storageField guide
  20. 16C / AUDIT LOADAudit the pesticide mix-load eventField guide
  21. 16D / AUDIT CLEANOUTAudit application-equipment cleanoutField guide
  22. 16E / CLOSE CUSTODYAudit container and rinsate dispositionField guide
  23. 17 / ALIGN CANOPYCalibrate delivery to an orchard canopyField guide
  24. 18 / RETAINDiagnose combine harvest lossField guide
  25. 19 / VERIFY COMBINEVerify one combine adjustmentField guide
  26. 20 / QUALIFY DATAQualify the harvest dataField guide
  27. 21 / MAINTAINPlan machine maintenance before the next operationField guide
  28. 22 / QUALIFY WEATHERCheck the local weather evidenceField guide
  29. 23 / CHECK DELIVERYVerify a drip irrigation zoneField guide
  30. 24 / TRIAGE PLANTERTurn a planter alert into a field checkField guide
  31. 25 / GROUND TRUTHTest a remote-sensing pattern in the fieldField guide
  32. 26 / ACCEPT POSITIONAccept the exact GNSS and RTK field chainField guide
  33. 27 / VERIFY CONNECTIONReview mixed-fleet ISOBUS compatibilityField guide
  34. 28 / PREFLIGHT INTENTPreflight the prescription handoffField guide
  35. 29 / BOUND AUTOMATIONReview automation site readinessField guide
  36. 30 / CONTROL DATAReview farm-data consent and exitField guide
  37. 31 / VALIDATE VISIONValidate machine vision in the fieldField guide
  38. 32 / PLAN UASBuild the UAS mission evidence planField guide
  39. 33 / TRIAGE TELEMATICSInvestigate telematics data qualityField guide
  40. 34 / CLOSE WORKClose the work order with evidenceField guide
  41. 34A / BASELINE MACHINEAudit the machine configuration baselineField guide
  42. 34B / QUALIFY CONDITIONAudit machinery condition evidenceField guide
  43. 34C / INVESTIGATE FAILUREReview the machinery failure eventField guide
  44. 34D / RELEASE MACHINERun the return-to-service readiness gateField guide
  45. 35 / MANAGE DRAINAGEAudit the drainage water management planField guide
  46. 36 / MONITOR OUTFLOWAudit edge-of-field evidenceField guide
  47. 37 / HAND OFF TREATMENTReconcile the conservation drainage practiceField guide
  48. 38 / BASELINE ENERGYAudit the farm energy baselineField guide
  49. 39 / REVIEW DUAL USEReview the agrivoltaic site evidenceField guide
  50. 40 / EXERCISE RESILIENCERun the farm critical-load exerciseField guide
  51. 41 / AUDIT STORAGEAudit manure storage from outsideField guide
  52. 42 / AUDIT MANUREAudit the manure sample evidenceField guide
  53. 43 / REVIEW RECOVERYReconcile anaerobic digestion evidenceField guide
  54. 44 / AUDIT SOIL DESIGNAudit the soil sampling designField guide
  55. 45 / COMPARE SOIL REPORTSReconcile soil laboratory reportsField guide
  56. 46 / REVIEW SOIL HEALTHReview soil health indicatorsField guide
  57. 47 / REVIEW SOIL CHANGEAudit the soil evidence timelineField guide
  58. 48 / REVIEW MICROCLIMATEAudit the microclimate network designField guide
  59. 49 / PREPARE FOR FROSTReview frost-monitoring readinessField guide
  60. 50 / AUDIT THERMAL TIMEAudit a degree-day model runField guide
  61. 51 / QUALIFY WEATHER SOURCEReview weather-network representativenessField guide
  62. 52 / AUDIT WATER SAMPLEAudit the irrigation-water sampleField guide
  63. 53 / COMPARE WATER REPORTSReconcile irrigation-water reportsField guide
  64. 54 / REVIEW SALT EVIDENCEReview salinity and sodicity evidenceField guide
  65. 55 / AUDIT WATER REUSEAudit agricultural recycled-water governanceField guide
  66. 56 / REVIEW FERTILIZERReview fertilizer product authorityField guide
  67. 57 / AUDIT BLENDAudit blend production custodyField guide
  68. 58 / AUDIT FERTILIZER STOREAudit fertilizer inventoryField guide
  69. 59 / TRACE NUTRIENT LOADReconcile nutrient source to fieldField guide
  70. 60 / CLOSE FERTILIZER CASEReview fertilizer nonconformance closureField guide
CURRENT POSITION38
32 / PLAN UAS

Build the UAS mission evidence plan

Connect authority, crew, field question, repeatable acquisition, processing, ground observations, and bounded interpretation.

Open the complete route ↗
Routes are editorial learning sequences, not implementation orders, product rankings, or field prescriptions. Select a route to see how this field guide connects to the decisions around it.
Evidence

Primary learning sources.

01
Unmanned Aircraft SystemsFederal Aviation Administration · Accessed 2026-07-15
Source fileOriginal
02
Dispensing Chemicals and Agricultural Products with UASFederal Aviation Administration · Accessed 2026-07-15
Source fileOriginal
03
Development and evaluation of unmanned aerial systems for agricultural imagingUSDA Agricultural Research Service · Accessed 2026-07-15
Source fileOriginal
04
Predicting Nitrogen and Sulfur Deficiency in Corn using Optical Sensors and Weed Mapping with UAV Multispectral SensorsUSDA Agricultural Research Service · Accessed 2026-07-20
Source fileOriginal