Agriculture Software Development Company

Custom software for large-scale farms, agricultural co-operatives, agri-input suppliers, food processors, and agri-tech companies who need farm management, precision agriculture, and supply chain traceability built for how agricultural businesses actually operate.

Off-the-shelf agricultural platforms cover common workflows for smaller operations. When your farm management complexity, IoT integration requirements, supply chain traceability obligations, or marketplace needs go beyond what a standard platform can handle, we build the system around your specific operation.

  • Farm management software with crop planning, field records, input tracking, and harvest reporting

  • Precision agriculture with IoT soil sensors, weather data, drone imagery, and variable rate application

  • Farm-to-fork supply chain traceability with batch tracking and food safety compliance

  • Livestock management, agri-marketplace platforms, and agricultural ERP for integrated operations

Summary

RaftLabs builds custom software for agricultural businesses -- farm management systems, precision agriculture platforms with IoT and sensor integration, farm-to-fork supply chain traceability, livestock management software, agricultural marketplace platforms, and integrated agricultural ERP. We serve large-scale farms, agricultural co-operatives, agri-input suppliers, food processors managing supply chain, and agri-tech companies building software for the sector. Most projects deliver in 12 to 16 weeks at a fixed, agreed cost.

Vodafone
Aldi
Nike
Microsoft
Heineken
Cisco
Calorgas
Energia Rewards
GE
Bank of America
T-Mobile
Valero
Techstars
East Ventures
4+Agriculture businesses in 4+ markets
IoTIoT and sensor integration for farm management
100+Software products shipped
FixedCost delivery

When the scale of your operation outgrows what generic farm software can model

Agricultural operations at scale generate data that generic farm management apps can't handle. Hundreds of fields across multiple properties, dozens of crop varieties with different agronomic requirements, IoT sensors generating continuous soil and weather data, and supply chain traceability obligations that require linking every batch from field application records through to the supermarket shelf. The same spreadsheet-based approach that works for a 100-hectare family farm breaks down completely when applied to a 10,000-hectare corporate farming operation or a co-operative managing the aggregated production of 200 member farms.

We build the software that scales with the operation. Not a bigger version of a small-farm app, but a system designed for the data volumes, the multi-entity structure, and the compliance requirements of large-scale agriculture. We have built IoT platforms, traceability systems, and marketplace applications across industries with similar data and integration complexity. We understand the agronomic vocabulary, the regulatory frameworks, and the commercial structures of agricultural businesses.

What we build

Farm management software

Farm management platform covering the full agricultural year -- crop plan by field and variety, planned versus actual field activities (cultivation, planting, spraying, harvesting), input records with product, rate, operator, and equipment, and yield data by field and variety at harvest. Field mapping with parcel boundaries, soil type zones, and historical yield data to support agronomic decision-making across the rotation. Input cost tracking per field and per crop so the margin calculation at harvest reflects the actual cost of production rather than an estimate. Activity scheduling and operator task management so farm managers can allocate work across teams, track completion, and adjust the plan when weather or machinery availability changes. Integration with farm machinery telemetry where available for automatic activity recording rather than manual logging. Regulatory record-keeping for cross-compliance and environmental scheme obligations built into the farm record rather than maintained as a separate compliance file.

Precision agriculture and IoT integration

Precision agriculture platform connecting soil sensors, weather stations, drone imagery, and satellite data into a single operational view for agronomic decision-making. Soil moisture, temperature, and nutrient sensor data visualised at field and zone level with alert thresholds for irrigation trigger points and nutrient deficiency indicators. Variable rate application map generation from soil sampling data and yield maps, exported in formats compatible with the precision application equipment on your specific machinery fleet. Weather station integration with local field-level data supplementing regional forecast data for spray timing decisions and frost risk assessments. Drone and satellite imagery analysis for crop health monitoring with NDVI trend data by field and growth stage. Irrigation scheduling automation based on soil moisture data and evapotranspiration calculations for operations where water use efficiency is a cost or regulatory concern.

Supply chain and farm-to-fork traceability

Farm-to-fork traceability platform linking field-level records -- variety, seed lot, chemical applications, harvest date, field identity -- to processing and packing records, and from there to the outbound batch and the customer invoice. Batch management from harvest through to despatch: lot creation at intake, processing steps with inputs and outputs recorded, quality test results, packing specifications, and product labelling all linked to the originating field record. Chemical application record traceability for pre-harvest interval compliance -- the system flags harvest events where the PHI for any applied product has not yet elapsed. Recall management: given a customer complaint or a product safety alert, the system identifies every batch that shares the same field origin, processing run, or input lot within seconds. Retailer and food service customer compliance requirements -- GlobalGAP, BRCGS, SQF -- supported by the audit trail built into every transaction rather than assembled from separate record systems. Electronic consignment notes and despatch documentation generated from the batch record without duplicate data entry.

Livestock management

Livestock management platform for cattle, sheep, pig, and poultry enterprises covering individual animal records, herd and flock management, health events, breeding, and production data. Individual animal records with birth, movement, treatment, and production history linked to the animal identifier -- RFID tag, ear tag, or electronic ID -- for regulatory compliance and production performance tracking. Herd health management with veterinary treatment records, withdrawal period tracking, and medicine inventory -- every treatment recorded against the animal with the product, dose, and withdrawal date so slaughter or milk eligibility can be confirmed at any point. Breeding records with service dates, pregnancy diagnosis, expected and actual calving dates, and progeny performance linked back to the sire and dam records for genetic improvement tracking. Feed management with ration formulation, daily allocation by pen or group, and consumption recording against production data for feed conversion efficiency calculation. Movement recording and regulatory compliance for cattle and sheep movement licences, with electronic submission to the relevant livestock movement recording system where regulatory integration is available.

Agricultural marketplace platform

Agricultural marketplace platform connecting buyers and sellers of commodities, inputs, land, and agricultural services -- built for the specific transaction structures of agricultural commerce rather than a generic e-commerce template. Commodity listing with grade specification, quantity, location, and pricing -- fixed price, negotiated, or auction -- with buyer enquiry and offer management through the platform. Quality specification management and sample request workflow for transactions where buyers need to confirm product specification before committing to a purchase. Contract and documentation management with sale contracts, delivery instructions, and payment terms generated from the agreed transaction and stored against the deal record. Logistics integration for transport booking and freight management where the platform manages end-to-end delivery coordination. Reputation and ratings system adapted to agricultural commerce where long-term trading relationships matter as much as individual transaction ratings.

Agricultural ERP and operations management

Integrated agricultural ERP covering the full business operation for farming companies, co-operatives, and agri-input suppliers who need farm management, finance, procurement, and sales management in one connected system rather than separate platforms that require manual bridging. Co-operative management module for organisations managing pooled grain, shared input purchasing, and member account management -- member deliveries recorded at intake, allocated to pool lots, and the pool settlement calculated and distributed to member accounts at sale. Procurement and inventory management for agri-input suppliers and farming operations with large input budgets -- purchase order management, stock control, and cost allocation to the farm record at point of use. Sales management and customer accounts for agricultural merchants and processors with commodity pricing, forward contracts, and customer credit management. Financial reporting with cost of production analysis, gross margin by enterprise, and financial statements ready for bank reporting and management review. Payroll and labour management for farming businesses with seasonal workforce peaks and piece-rate payment structures.

Problems we solve for agricultural businesses

Field records and crop data captured on paper with no integration into input planning or yield analysis

Paper field records don't feed into input cost calculations or yield comparisons across the rotation. The data exists but is inaccessible for decisions. When crop records are captured digitally against the field identity, the same record that logs a spray application also updates the input cost per hectare and contributes to the yield analysis at harvest without any additional data entry.

Equipment maintenance managed reactively without usage-based scheduling

Agricultural equipment fails at the worst possible time -- harvest, peak spraying, planting -- because maintenance intervals are set by the calendar rather than actual usage hours. When equipment usage is logged per field operation, maintenance alerts trigger at the right usage threshold rather than after the breakdown. Preventive maintenance reduces peak-season downtime and extends equipment life.

Irrigation scheduling done on fixed timers rather than soil moisture data

Fixed irrigation schedules apply water at the same rate regardless of whether the soil is already saturated or approaching stress. Soil moisture sensors connected to an irrigation scheduling system apply water when it is needed and stop when the threshold is reached. The result is reduced water consumption, better crop performance, and compliance with water use regulations where they apply.

Supply chain for inputs managed without automated reordering based on application rates

When seed, fertiliser, and chemical orders are placed based on what someone thinks is in the store, orders are late, quantities are wrong, and emergency deliveries cost more. When input planning is based on the crop plan -- variety, area, and application rate -- the procurement requirement is calculated from the plan rather than estimated from memory.

Compliance records for organic certification or pesticide use done manually

Organic certification and pesticide compliance require records that are complete, attributable, and available on demand. Manual records are incomplete by the time an auditor arrives. When compliance records are captured as a natural output of the operational record -- every spray application captured with product, rate, operator, and field -- the audit pack is generated from live data rather than assembled retrospectively.

Labour scheduling and tracking across seasonal labour force without a digital system

Seasonal labour peaks -- harvest, planting, picking -- require rapid workforce scaling with accurate hours tracking for payroll and piece-rate calculation. When labour allocation and time recording are managed on paper, payroll preparation is slow, errors are common, and there is no labour cost data per field operation to inform next season's planning.

How we work with agricultural businesses

We map your operation -- farm structure, crop mix, IoT infrastructure, supply chain traceability requirements, and compliance obligations. We identify where data gaps create the most decision-making cost or compliance risk, and agree on the scope that delivers the most operational value first. You receive a fixed-price specification before development begins.

What to ask any agriculture software team

Data and operations

  • Can the system capture field records, input applications, and yield data against the same field identity without duplicate entry?
  • Does IoT sensor integration support the specific sensor hardware and protocols you are already using?
  • Can the traceability system link a customer complaint back to the originating field, input lot, and processing run within seconds?
  • Does the equipment tracking system trigger maintenance alerts based on usage hours rather than calendar dates?

Compliance

  • Is the compliance record built as a natural output of operational data entry rather than a separate manual process?
  • Can the audit pack for your specific certification scheme -- GlobalGAP, organic, pesticide compliance -- be generated from live data on demand?
  • Does the system track pre-harvest intervals for every product applied to every field?

Delivery

  • Is the price fixed before development starts?
  • Do you own the code and data at the end of the project?
  • How are IoT integration costs handled if a sensor vendor's API has access fees or restrictions?

Agriculture software development cost

Estimated rangeTimeline
Farm management and field records
Equipment and maintenance tracking
IoT and sensor integration
Full agricultural management platform

Frequently asked questions

Farmbrite, Granular, and AgriWebb handle common farm management workflows well for operations that fit within their data model. Custom software is the right choice when your operation's scale, structure, or commercial requirements don't fit -- a co-operative managing member farms rather than a single entity, a farm-to-fork business where traceability needs to span your own production and contracted growers, a precision agriculture operation with IoT sensor volumes that generic platforms weren't built to handle, or an agricultural marketplace you're building as a commercial product rather than an internal tool. If you're spending more time working around the platform than working with it, that's the clearest signal that custom makes sense.

Yes. We integrate with major farm machinery telematics platforms -- John Deere Operations Center, CNH AFS, AGCO Fuse, and Trimble Ag -- via their developer APIs where integration access is available. For precision application, we export variable rate application maps in formats compatible with the ISO-XML standard used by most modern field computers, and import as-applied data from machinery to record actual versus planned application rates. For operations with legacy or proprietary equipment where telematics APIs aren't available, we discuss alternative data capture approaches during discovery. The integration specification is agreed with your agronomic and machinery team before development starts.

Yes. We design the traceability data model around the specific certification requirements for your supply chain -- GlobalGAP for fresh produce, BRCGS or SQF for food processors, and any customer-specific traceability requirements your major retail or food service customers impose. The traceability audit trail is built into every transaction rather than assembled retrospectively, so the audit pack for a GlobalGAP inspection or a customer recall query is generated from live data rather than compiled from paper records. For operations with chemical application traceability requirements -- residue monitoring, maximum residue level compliance, pre-harvest interval management -- the system tracks every product applied to every field and calculates PHI eligibility automatically.

A farm management platform covering field records, crop planning, input tracking, and harvest reporting typically runs $35,000 to $70,000. Adding IoT sensor integration and a precision agriculture dashboard typically adds $25,000 to $50,000 depending on sensor types and data volume. A full farm-to-fork traceability platform with retailer certification compliance typically runs $60,000 to $120,000. An integrated agricultural ERP covering farm management, co-operative member accounting, procurement, and financial reporting is scoped individually and typically runs $120,000 to $250,000. We price every project at a fixed cost agreed before development starts.

Agriculture software by product

Agriculture software by capability

Talk to us about your agriculture software project.

Tell us your operation type -- farm, co-operative, agri-input supplier, or food processor -- and the operational or compliance problem you need to solve. We'll tell you what we'd build and how.