Site and exposure
Buildings, trees, slopes, surface cover, nearby irrigation, dust, spray, animals, and maintenance access shape the observing environment.
LOCAL WEATHER IS A MEASUREMENT SYSTEM
Agricultural
Weather Stations
A weather station is more than a mast of sensors. Site exposure, instrument height, shielding, sampling, maintenance, quality control, communications, metadata, and distance from the field determine what its data can support.
5CHAPTERS4VISUAL BLOCKS14GRAPH LINKS2SOURCES
OBSERVE / SELECTED CONCEPTAgricultural Weather StationsStart with the role, then move through the editorial sequence.
HOW TO READ THIS PAGE
Visual explanationA diagram or operating scene makes the relationship visible.
Structured modelA flow, comparison, capability set, or boundary map organizes the idea.
Guided explanationOriginal prose connects the concept to its operating context.
01 / Overview
A local number needs
a local measurement context.
Oklahoma Mesonet demonstrates a maintained network that combines multiple atmospheric, radiation, precipitation, and soil measurements with frequent reporting and ongoing technical monitoring.
Farm-scale use may rely on an on-farm station, a nearby professional network, or both. Neither distance nor ownership alone establishes representativeness; the site, exposure, terrain, crop, sensor, time window, and decision must match.
02 / Observation chain
Site, sensor, sample,
quality check, decision.
01SITE / 01Define the exposureTerrain, obstructions, surface, vegetation, irrigation, heat sources, and access
02SENSE / 02Measure physical variablesInstrument type, height, shielding, orientation, range, response, and calibration
03RECORD / 03Build a time seriesSampling interval, aggregation, clock, power, storage, communications, and metadata
04QUALIFY / 04Check before usingRange, persistence, step change, neighboring stations, maintenance, gaps, and decision tolerance
03 / Station system
Every measurement has
a physical failure path.
Instrument package
Radiation shields, rain gauges, anemometers, radiometers, temperature probes, and soil sensors each have placement, fouling, and calibration needs.
Time and data acquisition
Sampling, averaging, timestamps, power, memory, firmware, telemetry, and unit conversion must preserve the meaning of each observation.
Quality assurance
Automated flags, nearby-station comparison, field inspection, cleaning, replacement, calibration records, and gap handling make data operationally trustworthy.
04 / Decision uses
One station supports many workflows,
but not with one tolerance.
UseNeeded contextBoundary
Irrigation schedulingRadiation, temperature, humidity, wind, rain, crop stage, soil and water balanceReference weather must still be translated to crop and field conditions
Spray planningWind, temperature, humidity, local label and regulatory conditionsA station reading cannot replace conditions measured at the application site and time
Disease or pest modelSpecified weather variables, leaf or canopy context, model calibration, crop stageModel validity is crop-, pathogen-, region-, and implementation-specific
Freeze or heat responseSensor height, terrain, inversion, canopy position, forecast, local observationSmall elevation and exposure differences can matter more than station distance
05 / Boundaries
Near the field is not always
representative of the field.
Metadata is part of the measurement.Units, height, exposure, instrument, sampling interval, maintenance, quality flags, and time zone are needed to interpret a value correctly.
Missing data and plausible data are different problems.A failed sensor can produce a believable value; cross-checks and maintenance history matter beyond simple connectivity status.
Decision thresholds need local authority.Weather observations inform but do not override pesticide labels, safety rules, water restrictions, forecasts, local advisories, or direct field inspection.
06 / Connections
See the system around this concept.
Follow incoming and outgoing relationship records to understand what supplies, informs, enables, coordinates with, or extends this technology in the published knowledge graph.
Relationship radar / published edges14 records / 14 neighboring systems
Incoming00records point toward this concept
observe roleAgricultural Weather StationsSelected technology
Outgoing14records point from this concept
14connections visible
decide / Agricultural water managementDrainage Water Management ↗adds field weather context to
Qualified local weather observations add context to drainage-system inspection and site-specific management decisions without authorizing a structure adjustment alone.
decide / Water managementIrrigation Decision Support ↗supplies local weather observations to
Qualified local weather observations can supply atmospheric-demand and precipitation inputs to a field-specific irrigation scheduling workflow.
decide / Farm softwareFMIS ↗can supply qualified local time series to
A field weather station can contribute identified, timestamped and quality-reviewed observations to farm software when location, exposure, units, intervals, maintenance, missing data and transformation history remain attached.
observe / Earth observationAgricultural Remote Sensing ↗can add local time-series context beside
Qualified station observations and spatial imagery can be reviewed together to investigate field patterns, while neither source alone proves cause, diagnosis, treatment, or whole-field representativeness.
act / Application systemsAir-Assisted Electrostatic Spraying ↗can supply local condition evidence to
Qualified wind, temperature, humidity and precipitation context can support an application gate, but does not replace the label, on-site observation, local rules, stop triggers, drift assessment or applicator judgment.
observe / Crop water intelligenceCrop Evapotranspiration Estimation ↗can supply qualified atmospheric observations to
Representative radiation, temperature, humidity, wind and time observations can inform reference evapotranspiration, while station exposure, maintenance, missing data, reference method, crop translation, field variability and uncertainty remain explicit.
observe / Crop water intelligencePlant Water Status Sensing ↗can provide atmospheric context to
Radiation, temperature, humidity, wind, rainfall and time context help interpret plant or canopy response, but do not remove crop, stage, geometry, soil, roots, disease, nutrition, salinity and sensor-method effects.
connect / Farm resilienceAgricultural Hazard Alert Integration ↗adds qualified local observations to
A maintained farm or network station can add local condition evidence around an official alert while remaining separate from the issuing authority and message status.
observe / Post-harvest systemsStored-Grain Condition Monitoring ↗adds ambient context to
Qualified local weather observations add context around storage temperature patterns, aeration operation, and seasonal change without determining a storage action alone.
observe / Precision livestockPrecision Rangeland Monitoring ↗adds local atmospheric context to
Qualified rainfall and weather observations can help interpret forage, water, infrastructure, animal-distribution, and operational patterns across a rangeland record.
observe / Precision livestockLivestock Housing Environmental Monitoring ↗adds outdoor atmospheric context to
Qualified outdoor weather observations add context to housing temperature, moisture, ventilation and cooling review without representing conditions at animal level.
act / Post-harvest systemsStored-Grain Aeration Control Assurance ↗provides time- and source-specific ambient evidence to
Aeration controls may use weather observations only when station identity, latency, quality and local relevance remain explicit.
observe / Environmental sensingAgricultural Microclimate Sensor Networks ↗provides instrumented observation patterns to
Weather-station components can support distributed sensing when every node retains a defined spatial role, exposure, identity and quality history.
decide / Decision supportAgricultural Degree-Day Modeling ↗supplies qualified temperature series to
Degree-day calculations require time- and source-specific temperature inputs whose station, units, quality and missing-data context remain visible.
4CONNECTED ROUTES1–2STEP POSITIONS25ROUTE SOURCE LINKS
Operating practice
From soil and weather evidence to an irrigation decision
Follow the water-management evidence stack from spatial soil context and local weather through root-zone sensing, a qualified scheduling decision, and field verification.
CURRENT POSITION02
02 / WEATHER
Open the complete route ↗Qualify the atmospheric observations
See how exposure, instrument placement, time series, maintenance, and quality control shape local weather evidence.
07 / Evidence
Primary sources.
This briefing uses Oklahoma State University's Mesonet overview and University of Minnesota Extension irrigation-scheduling guidance. It does not specify a universal station layout, sensor accuracy, or regulatory threshold.
02
Evapotranspiration-based irrigation scheduling or water-balance methodUniversity of Minnesota Extension · Accessed 2026-07-20