Field and crop records
Boundaries, rotations, varieties, observations, applications, harvests, and supporting documents.
FARM OPERATIONS INFORMATION LAYER
Farm Management
Information Systems
A Farm Management Information System collects, processes, stores, and presents information needed to plan, execute, document, and review farm operations.
5CHAPTERS3VISUAL BLOCKS18GRAPH LINKS2SOURCES
DECIDE / SELECTED CONCEPTFMISStart 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
The farm's operational
memory and planning layer.
FMIS is a category rather than one fixed feature list. Research describes systems ranging from recordkeeping and finance tools to platforms supporting production planning, machinery management, compliance, traceability, and precision-agriculture workflows.
The system organizes information for management decisions. It should not be confused with a machine controller, an agronomic model, or proof that a recommendation is correct.
02 / Operating cycle
Plan, execute, document,
learn, repeat.
01PLAN / 01Fields and tasksDefine crops, timing, inputs, and work
02TRANSFER / 02Work instructionsSend tasks or prescriptions to people and machines
03DOCUMENT / 03Operational recordsCapture activity, material, machine, and location data
04REVIEW / 04Management insightCompare outcomes, costs, compliance, and plans
03 / Scope
One category,
many operational modules.
Planning and task management
Work orders, assignments, timing, status, resources, and completion records.
Machinery and inventory
Equipment, implements, maintenance, products, storage, and input movements.
Business and compliance
Costs, budgets, traceability, reports, regulatory records, and evidence for audits.
04 / Interoperability
Useful data must survive
the trip between systems.
ISO 11783-10 defines data interchange between task controllers and farm-management computers for machine operations. Real farms may also use vendor APIs, file exports, manual entry, telematics services, and regional data standards.
Interoperability must be evaluated at the level of exact objects and workflows: a platform may import field boundaries but not prescriptions, products, guidance lines, or complete as-applied records.
05 / Boundaries
A dashboard is not
a complete management system.
Data ownership needs explicit terms.Access, export, deletion, retention, sharing, and service-exit behavior should be checked before operational dependence grows.
Integration labels are incomplete.Compatibility depends on exact data types, directions, versions, licenses, and regional availability.
Records still need quality control.Automated capture can preserve sensor, configuration, or operator errors as efficiently as correct data.
Offline operation matters.Field connectivity, synchronization conflicts, mobile usability, and recovery procedures are operational requirements, not minor interface details.
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 edges18 records / 18 neighboring systems
Incoming12records point toward this concept
decide roleFMISSelected technology
Outgoing06records point from this concept
18connections visible
decide / Decision dataPrescription Maps ↗organizes and exchanges
Farm management software can organize the field context and task information around prescription-map workflows.
connect / Machine networkingISOBUS ↗exchanges task context with
Task-controller and management-software interchange creates a bridge between farm planning and ISOBUS machine operations.
observe / Field sensingSoil Moisture Sensing ↗can supply field observations to
Logged soil moisture measurements can become one time- and location-specific observation layer organized with other field records in farm management software.
decide / Water managementIrrigation Decision Support ↗can organize the field records around
Farm management software can organize field identity, crop context, observations, irrigation plans, applied records, and outcomes around a decision-support workflow.
observe / Controlled-environment sensingGreenhouse Environmental Monitoring ↗can supply production observations to
Time-, zone-, crop-, and quality-aware greenhouse observations can join plans, interventions, labor, inputs, harvests, and outcomes in a farm management record.
act / Water and nutrient applicationPrecision Fertigation ↗can organize crop plans and applied records around
Farm management software can connect crop and zone identity, source-water evidence, planned inputs, applications, observations, labor, inventory, and outcomes around fertigation operations.
decide / Production intelligenceDigital Greenhouse Production Scheduling ↗can organize the business and production records around
Farm management software can connect customers, products, crop batches, inputs, inventory, labor, work, treatments, harvests and outcomes with the greenhouse production schedule.
connect / Connected machineryAgricultural Machinery Telematics ↗can supply qualified machine observations to
A configured telematics service can provide selected machine events and operating context for organization with wider field, task and resource records in farm-management software.
connect / Agricultural data systemsAgricultural Field Data Interoperability ↗preserves field-operation meaning across
Defined interfaces, objects, versions and acceptance tests can support work-order and work-record exchange between farm-management systems and other agricultural software or machine environments.
observe / Precision plantingPlanter Performance Monitoring ↗can supply qualified as-planted evidence to
Positioned planter events, configuration, targets, exceptions, actions and operator notes can contribute to the farm record when identity, units, versions and data quality are preserved.
observe / Aerial platformsAgricultural Unmanned Aircraft Systems ↗can supply qualified mission evidence to
Aerial boundaries, observations, operation context and reviewed job records can contribute to farm management software when field identity, units, timestamps, versions, permissions and data quality survive the handoff.
decide / Farm operationsFarm Machinery Fleet Management ↗can organize plans and records around
A farm information system can place fleet identity, readiness, assignment, work orders, exceptions, service events, completion evidence, and review inside the wider field and business record.
observe / Environmental sensingAgricultural Weather Stations ↗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.
connect / Nutrient input assuranceNutrient Application Load and Batch Reconciliation ↗provides material-linked as-applied evidence to
Farm software can join plan, inventory, machine and field records while retaining their separate provenance.
connect / Farm softwareFarm Recordkeeping Systems ↗adds accountable records to
A recordkeeping layer extends farm-management software when activities, authority, source evidence, edits, attachments, retention, and required local records remain traceable.
decide / Production intelligenceAgronomic Model Decision Support ↗adds bounded analytical context to
Agronomic models can extend farm-management software when input provenance, assumptions, version, fit, uncertainty, recommendation status, human review, action, and outcome remain distinct.
connect / Precision plantingPlanter As-Applied Data ↗can supply planting operation records to
A planter record can enter farm-management software when machine, field, row or section, time, position, configuration, alerts, gaps, and transformation history remain attached.
connect / Application dataSprayer As-Applied Data ↗can supply bounded operation records to
A sprayer record can enter farm-management software when machine, controller, field, task, time, position, configuration, alerts, gaps, product authority, and transformation history remain attached.
5CONNECTED ROUTES2–6STEP POSITIONS50ROUTE SOURCE LINKS
Technology system
From field evidence to application
Follow a complete decision loop from measured field variation through management software and spatial intent to machine-side application control.
- 01 / OBSERVEMeasure with yield mappingTechnology→
- 02 / ORGANIZEPut the record in an FMISTechnology→
- 03 / DECIDEBuild prescription intentTechnology→
- 04 / VARYExecute variable rateTechnology→
- 05 / COVERCoordinate section controlTechnology→
- 06 / MODULATEControl flow at the nozzleTechnology→
- 07 / CANOPYCoordinate liquid, airflow, and chargeTechnology
CURRENT POSITION02
02 / ORGANIZE
Open the complete route ↗Put the record in an FMIS
See how farm software keeps field context, plans, records, and decisions connected over time.
07 / Evidence
Primary sources.
This briefing uses peer-reviewed FMIS research for category scope and ISO 11783-10 for the machine-task data-exchange boundary. Product-specific capabilities, integrations, data rights, and regional compliance require direct verification.
01
Farm management information systems: Current situation and future perspectivesComputers and Electronics in Agriculture · Accessed 2026-07-11
02
ISO 11783-10:2015 — Task controller and management information system data interchangeInternational Organization for Standardization · Accessed 2026-07-11