Agriculture App Development

Agribusinesses and precision agriculture platforms need engineering teams who understand the specific data architecture of farm operations: field and crop cycle management, soil and weather sensor pipelines, irrigation scheduling, pest and disease intervention workflows, and the supply chain traceability that buyers and regulators increasingly require. Scrums.com provides dedicated software engineering teams for agriculture app development, deploying production-ready systems with append-only agronomic event logs, configurable irrigation rule engines, IoT sensor integration pipelines, and the analytics infrastructure that measures yield, input efficiency, and sustainability metrics.

Field Management, Crop Cycles, and Agronomic Event Logging

The field record carries farm_id, area_ha, soil_type, irrigation_type, and current_crop_id; fields are never deleted: RETIRED is a status that preserves the historical record. Crop cycles link field_id to crop_variety_id with planted_at, expected_harvest_at, and target_yield_tonnes_per_ha; only one active cycle per field at a time is permitted, enforced at the database layer. Agronomic events are append-only: each row records field_id, crop_cycle_id, event_type (PLANTING | GERMINATION | EMERGENCE | TILLERING | FLOWERING | HARVEST | FALLOW_START), recorded_at, and recorded_by; corrections write a CORRECTION event row referencing the original event_id, never mutating the source. Crop input applications write to crop_inputs (input_type: FERTILIZER | PESTICIDE | HERBICIDE | FUNGICIDE | IRRIGATION_WATER, product_id, quantity_applied, application_method, applied_at, applied_by); controlled inputs require a valid agronomist_prescription_id at write time: missing or invalid prescriptions cause the insert to fail at the database layer. Prescriptions are immutable once signed; the active prescription version is validated at application time. Yield records are immutable once written; a yield_by_field_by_crop_by_season materialised view derives performance trends without touching source rows.

Soil and Weather Sensor Integration, Irrigation Management, and Pest Monitoring

Sensor data arrives via MQTT with ON CONFLICT DO NOTHING idempotency on (sensor_id, metric_type, reading_timestamp); LoRaWAN and cellular adapters serve sensors across large field areas, with raw payloads stored in sensor_inbound_log before transformation. Readings land in TimescaleDB hypertables: soil_moisture_pct, soil_temp_c, soil_ph, soil_ec, air_temp_c, humidity_pct, rainfall_mm, solar_radiation, and wind_speed_ms. Irrigation zones carry zone_id, field_id, irrigation_type (DRIP | SPRINKLER | FLOOD | PIVOT), water_source_id, flow_rate_lpm, and max_duration_minutes. Irrigation events follow a state machine (SCHEDULED / IN_PROGRESS / COMPLETE | ABORTED) with every transition written to irrigation_status_events; ABORTED requires an abort_reason (LOW_PRESSURE | SOIL_THRESHOLD_MET | OPERATOR_CANCEL | PUMP_FAULT). Irrigation rules in irrigation_rules_config (zone_id, trigger_type: SENSOR_THRESHOLD | SCHEDULE | MANUAL | ET_MODEL, threshold_config JSONB) are config-driven and keyed by zone, so a rule change for one field does not affect any other. Scouting records are append-only (field_id, scout_id, pest_type, severity: TRACE | LOW | MODERATE | HIGH | CRITICAL, gps_coordinates, scouted_at). Intervention recommendations are derived from scouting_records against pest_intervention_config (pest_type, threshold_severity, recommended_action, economic_threshold): recommendations are config output, never manually entered.

Agriculture apps like these are built and delivered by dedicated engineering teams through our mobile app development service.

Supply Chain Traceability, Crop Contracts, and Compliance Workflows

Crop contracts are immutable once SIGNED: amendments write new contract_amendment rows referencing the original contract_id, preserving the full negotiation history. Delivery events record contract_id, quantity_tonnes, vehicle_id, origin_field_id, delivered_at, and quality_result (ACCEPTED | REJECTED | DOWNGRADED): append-only; rejection reasons are mandatory before REJECTED status can be recorded. Farm-to-table traceability links every delivery batch_id to the harvest record, crop_cycle, field, and all agronomic_events and crop_inputs for that cycle; because all source records are immutable, the full provenance chain is always reconstructible without modifying any operational record. The pesticide application log is a regulatorily mandated immutable table: product_id, field_id, application_date, quantity_applied, operator_id, agronomist_prescription_id, pre_harvest_interval_days, and buffer_zone_respected. At write time, the system checks that expected_harvest_at minus applied_at satisfies the pre_harvest_interval_days for that product: violations cause the insert to fail at the database layer. Sustainability metrics (carbon_sequestration_estimate_by_field_by_year, water_use_efficiency_by_crop_by_season, pesticide_load_by_active_ingredient) are derived from crop_inputs and irrigation_events, never manually entered, and feed certifier export reports.

Farm Equipment Management, Analytics, and Precision Agriculture

Farm equipment follows the same asset registry pattern: asset_type (TRACTOR | SPRAYER | HARVESTER | PLANTER | CULTIVATOR | IRRIGATION_PUMP | DRONE), make, model, year; status follows OPERATIONAL / MAINTENANCE / BREAKDOWN / DECOMMISSIONED. Equipment usage is append-only: each row records equipment_id, field_id, crop_cycle_id, task_type (SPRAYING | PLANTING | CULTIVATION | HARVESTING | MOWING | IRRIGATION_PUMPING), start_at, end_at, fuel_consumed_l, and area_covered_ha. GPS work path events (equipment_id, path GEOMETRY, recorded_at) stored in TimescaleDB enable precision application mapping and overlap or skip detection across fields. Yield gap analysis compares yield_records against crop_variety benchmarks and local weather_station_data: surfaced as a materialised view showing fields below expected yield alongside the inputs used and soil conditions at planting. Analytics materialised views include yield_by_field_by_crop_by_season, water_applied_vs_yield_by_field, input_cost_per_tonne_by_crop, scouting_to_intervention_lag_by_pest, and equipment_utilisation_by_asset: all recomputable from append-only source events.