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Industry

Agriculture Software Development Services

Data-Driven Tools for More Productive Farming.

We build farm management, precision agriculture, livestock, and agri-supply chain software for farms, agribusinesses, and cooperatives, using field, sensor, and market data to improve yields and reduce waste.

  • GlobalG.A.P. and FSMA traceability support
  • John Deere, FieldView and Sentinel integration
  • Senior-only engineering team

Plan your agriculture project

Tell us what you want to build. A senior engineer, not a sales script, replies within one business day.

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Your idea is protected. NDA available on request.

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OVERVIEW

Software shaped around how agriculture really works.

Farmers and agribusinesses make high-stakes decisions every season based on weather, soil, crop health, input costs and market prices. Yet much of that information is scattered across paper notebooks, machinery displays, spreadsheets and messaging groups, or simply unavailable in the field when a decision has to be made about spraying, irrigating or harvesting.

As an agriculture software development company, we design around the farming calendar and the people doing the work: growers, agronomists, farm managers, cooperative field officers, buyers and processors. We build farm management systems, precision agriculture tools, IoT irrigation monitoring, livestock records and agri marketplaces that work on low-cost phones, in local languages and with long periods offline.

Integration brings the data together. Our platforms pull machine and field data from John Deere Operations Center and Climate FieldView, crop health indices from Planet and Copernicus Sentinel imagery, forecasts from weather APIs, and readings from soil moisture and weather sensors over LoRaWAN, AWS IoT or Azure IoT Hub, then push orders and finance data to SAP, Oracle or Microsoft Dynamics.

Traceability and data protection are designed in from the first sprint. We structure field and input records to support GlobalG.A.P. certification and FSMA produce safety and traceability rules, handle farmer data in line with GDPR, India's DPDP Act and regional laws, and capture input and fuel data for GHG Protocol reporting. The result is custom agriculture software farmers trust and buyers can audit.

Why agriculture teams build with Creuto

Satellite and drone analytics

NDVI and other vegetation indices from Sentinel and Planet imagery, plus drone orthomosaics, turned into zone maps and scouting tasks rather than raw images.

Offline-first rural apps

Field apps that work on entry-level Android phones, store data for days without coverage and sync when farmers reach a signal, in local languages.

IoT and irrigation monitoring

Soil moisture, weather station and pump data over LoRaWAN or cellular, with irrigation scheduling and alerts that save water and energy.

Traceability from field to buyer

Lot-level records of fields, inputs, harvest and handling that support GlobalG.A.P. audits, FSMA traceability rules and buyer requirements.

Farm machinery integration

Connections to John Deere Operations Center, Climate FieldView and ISOBUS data so prescriptions go to machines and as-applied data comes back.

Agronomic AI

Yield forecasting, pest and disease risk models and image-based crop diagnosis, with agronomists reviewing recommendations before they reach growers.

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Products delivered

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Years of engineering

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Client satisfaction

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WHAT WE BUILD

Agriculture software solutions we build.

Each one designed with your teams, integrated with the systems you already run, and engineered to scale.

SECTORS

Agriculture sectors we build software for

The organisations and segments we build software for.

  • Crop Farms
  • Livestock & Dairy
  • Agribusinesses
  • Farmer Cooperatives
  • Greenhouses & Vertical Farming
  • Agri-Input Suppliers
  • Food Processors
TYPES OF SOLUTIONS

Types of agriculture apps and software we develop.

The product categories agriculture organisations most often ask us to build, from focused mobile apps to multi-tenant platforms.

  1. 01

    Farm management software (FMS)

    Fields, crop plans, operations, inputs, labour and costs in one system for farms of any size.

  2. 02

    Precision agriculture platforms

    Field mapping, management zones, variable-rate prescriptions and yield analysis from machinery and imagery data.

  3. 03

    Crop monitoring with satellite imagery

    Vegetation index maps, change alerts and scouting workflows built on Sentinel and Planet imagery.

  4. 04

    Smart irrigation and IoT monitoring

    Soil moisture, weather and pump telemetry with irrigation scheduling, alerts and remote control.

  5. 05

    Livestock and dairy management apps

    Animal identification, health, breeding, feed and milk records, with herd performance dashboards.

  6. 06

    Agri marketplaces and trading platforms

    Connecting farmers with buyers, input suppliers and logistics, with price discovery and secure payments.

  7. 07

    Farmer advisory and extension apps

    Crop calendars, weather alerts, pest advice and agronomist chat in local languages for large farmer networks.

  8. 08

    Agri supply chain and traceability software

    Procurement, grading, storage and lot traceability from farm gate to processor and retailer.

  9. 09

    Greenhouse and vertical farming control

    Climate, lighting, fertigation and growth monitoring dashboards for controlled-environment agriculture.

  10. 10

    Agri finance and insurance tools

    Farmer onboarding, credit scoring with field data and crop insurance claims assessment using imagery.

KEY FEATURES

Must-have features of a agriculture platform we build in.

Grouped by who uses them. Every feature below is one we have shipped to production, not a wishlist.

/01

Farmer and grower app

What farmers use in the field, on any phone.

  • Field boundaries mapped by GPS
  • Crop plans and activity logging
  • Input and spray records
  • Hyperlocal weather forecasts and alerts
  • Crop health maps and scouting notes
  • Photo-based pest and disease checks
  • Market prices and buyer offers
  • Voice and local language support
/02

Agronomist and field officer tools

For advisers, cooperatives and farm managers.

  • Farmer and field portfolio view
  • Visit planning and offline surveys
  • Variable-rate prescription builder
  • Sensor and irrigation dashboards
  • Yield estimates and harvest planning
  • Advisory broadcasts by crop and region
  • Certification audit checklists
  • Input recommendation approvals
/03

Agribusiness admin console

Control, traceability and reporting for the business.

  • Farmer onboarding and KYC
  • Procurement, grading and payments
  • Lot traceability from field to buyer
  • Inventory of inputs and produce
  • Regional crop and yield analytics
  • Emissions and input intensity reports
  • Role and region-based access
  • Integration health for imagery and IoT feeds
CHALLENGES WE SOLVE

What holds agriculture teams back.

The problems we most often help agriculture organisations solve, and design every engagement around.

  1. 01

    Unpredictable conditions

    Weather swings, pests and disease can damage yields within days, and without timely field data farmers react after the damage is done.

  2. 02

    Manual record-keeping

    Field activities, inputs and harvests are often tracked on paper, making certification audits, traceability requests and cost analysis slow and unreliable.

  3. 03

    Market access

    Smallholders struggle to reach buyers, compare prices and get paid on time, and middlemen capture much of the value.

  4. 04

    Low connectivity and digital literacy

    Rural coverage is patchy and many users have entry-level phones, so complex, online-only apps go unused.

  5. 05

    Fragmented farm data

    Machinery, sensors, imagery and accounting each hold part of the picture, in formats that do not talk to each other.

SELECTED WORK

Products we have shipped. Results we can point to.

Real products designed and engineered by Creuto end to end, with the operational depth agriculture projects demand.

Smart Aquaculture Forecasting & Bidding Ecosystem
/01 · AgriTech / IoT

Smart Aquaculture Forecasting & Bidding Ecosystem

A full-stack pond-to-port aquaculture ecosystem — AI monitoring, disease prediction, supply chain linkage, and export readiness — designed and delivered by Creuto from scratch.

6,000+

Farmers Registered

8,000+

Acres Monitored

150+

Villages Covered

View Case Study
IoT Smart City Platform for Binimise
/02 · Smart City / IoT

IoT Smart City Platform for Binimise

A cloud-native, IoT-powered smart city platform — web command dashboard, citizen mobile app, field staff app, and full IoT integration designed and delivered by Creuto from the ground up.

10

Integrated Modules

25–30%

Reduction in Vehicle Trips

4

Platforms Delivered

View Case Study
Custom Cloud ERP for Large-Scale Industrial Operations
/03 · Enterprise ERP

Custom Cloud ERP for Large-Scale Industrial Operations

A fully custom, browser-based ERP system built to unify every department, eliminate silos, and scale with the business — designed and delivered by Creuto end to end.

4

Departments Unified

1

Source of Truth

100%

Browser-Based Access

View Case Study
COMPLIANCE AND SECURITY

Compliance and security, designed in.

The agriculture standards we build against and the controls behind them. Your compliance team keeps ownership; we make the software easy to certify.

Agriculture regulations and standards we build for

  • GlobalG.A.P. certification records
  • FSMA Produce Safety and Food Traceability Rules (United States)
  • EU Deforestation Regulation due diligence data
  • GDPR for farmer data (EU and UK)
  • India DPDP Act for farmer data
  • UAE PDPL and Saudi PDPL
  • ISO/IEC 27001 aligned controls

Agricultural data standards

  • ISOBUS (ISO 11783) machinery data
  • ADAPT data framework
  • GS1 identifiers and EPCIS traceability events
  • OGC geospatial standards
  • LoRaWAN and MQTT sensor protocols
  • GHG Protocol agricultural guidance

Security controls

  • Encryption in transit and at rest
  • Farmer consent and data sharing controls
  • Role and region-based access
  • Immutable audit trails
  • Secure offline storage on devices
  • Penetration testing before launch

Platform quality

  • Offline sync and conflict testing
  • Low-end Android performance testing
  • Localisation and accessibility checks
  • Geospatial data accuracy validation
  • Requirements traceability and test evidence
INTEGRATIONS

Agriculture integrations we connect.

The platforms, standards and third-party services a product in this sector usually has to talk to. If yours is not listed, it is almost certainly something we have connected before.

/01Machinery and farm platforms

  • John Deere Operations Center
  • Climate FieldView
  • CNH and AGCO telematics
  • Trimble Ag
  • ISOBUS task files
  • Leaf Agriculture API

/02Imagery and weather

  • Copernicus Sentinel-2
  • Planet
  • Google Earth Engine
  • Tomorrow.io
  • OpenWeather
  • Drone imagery via DroneDeploy

/03IoT and sensors

  • LoRaWAN network servers
  • AWS IoT Core
  • Azure IoT Hub
  • Soil moisture and weather stations
  • Pump and valve controllers
  • MQTT brokers

/04Business and payments

  • SAP S/4HANA
  • Oracle NetSuite
  • Microsoft Dynamics 365
  • Razorpay and UPI
  • Stripe
  • Twilio and WhatsApp Business API
WHY CREUTO

Why choose Creuto as your agriculture software development company

The reasons clients in this sector give when they recommend us, not the ones we would pick ourselves.

Either we build it exceptional, or we don't.

The standard every agriculture product leaves our studio with.

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Products delivered

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Years of engineering

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Client satisfaction

Start a conversation
  1. /01

    We build for rural reality

    Our apps are designed for entry-level phones, local languages and long offline periods, so adoption does not depend on perfect conditions.

  2. /02

    Geospatial and imagery skills

    We process satellite, drone and machinery data into maps and tasks that agronomists and farmers can act on.

  3. /03

    Traceability built in

    Field and input records are structured from the start to support GlobalG.A.P., FSMA and buyer audits.

  4. /04

    Respect for farmer data

    Consent, data sharing controls and transparency are designed in, which builds trust with growers and cooperatives.

  5. /05

    A long-term engineering partner

    We plan releases around the farming calendar and keep improving the product season after season.

BENEFITS

Benefits of custom agriculture software over off-the-shelf tools.

What organisations in this sector gain when the software is built around their workflows rather than the other way around.

  1. 01

    Better yields

    Timely crop health, weather and soil insight help farmers act before problems spread.

  2. 02

    Lower input costs

    Variable-rate application and precise irrigation reduce fertiliser, chemical, water and energy use.

  3. 03

    Faster certification audits

    Digital field and input records make GlobalG.A.P. and buyer audits quicker and less stressful.

  4. 04

    Fairer market access

    Marketplaces and price information help farmers reach more buyers and get paid faster.

  5. 05

    Scalable advisory

    Agronomists and field officers support many more farmers through targeted alerts and remote advice.

  6. 06

    Reliable supply planning

    Yield forecasts and procurement data give processors and buyers earlier, more accurate supply visibility.

HOW WE WORK

Our agriculture software development process.

Transparent, sprint-based and built around decisions you can see. You know what ships, when, and why at every step.

Start Your Project
  1. 01

    Field discovery

    We spend time with growers, agronomists and field officers in the field, map the season's decisions and data, and agree the yield, cost or market outcomes to improve.

  2. 02

    Architecture and data plan

    Data sources, imagery and sensor strategy, offline needs, farmer consent and the certification or traceability rules in scope are documented before design.

  3. 03

    Design and farmer validation

    Prototypes are tested with real farmers on their own phones, in local languages, in sunlight and with weak signal.

  4. 04

    Agile engineering

    Two-week sprints reviewed by your agronomy and operations leads, with imagery, weather and sensor integrations built early.

  5. 05

    Integration, QA and hardening

    Offline sync tests, low-end device performance checks, geospatial accuracy validation and a security test before launch.

  6. 06

    Seasonal launch and growth

    We launch ahead of a key season, support field officers through onboarding, and plan the roadmap around adoption and harvest results.

TECHNOLOGY STACK

Technology stack for agriculture software development.

Chosen per project for longevity, hiring depth and fit with your existing systems, never by fashion.

/01Mobile

  • Kotlin
  • Jetpack Compose
  • Flutter
  • React Native
  • Swift

/02Web and backend

  • React
  • Next.js
  • TypeScript
  • Node.js
  • NestJS
  • Python
  • FastAPI
  • Django
  • Go

/03Geospatial and IoT

  • PostGIS
  • GDAL
  • Google Earth Engine
  • Mapbox
  • MQTT
  • AWS IoT Core

/04Data

  • PostgreSQL
  • MongoDB
  • Redis
  • BigQuery
  • Snowflake
  • ClickHouse

/05Cloud and DevOps

  • AWS
  • Azure
  • Google Cloud
  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions

/06AI and analytics

  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Claude
  • OpenAI
  • Whisper

/07Security and identity

  • OAuth 2.0
  • OpenID Connect
  • Auth0
  • Keycloak
  • AWS KMS
  • Vault

AI IN AGRICULTURE

AI that reads the field before the harvest.

We apply AI where it helps farmers and agribusinesses act sooner: spotting crop stress from imagery, forecasting yields, diagnosing pests and answering questions in local languages, with agronomists reviewing advice that affects inputs or sales.

Explore our AI engineering
  • Crop stress detection from satellite and drone imagery
  • Yield and harvest timing forecasts
  • Photo-based pest and disease diagnosis
  • Irrigation scheduling from sensor and weather data
  • Voice assistants in local languages
  • Credit and insurance risk scoring from field data
TRENDS

Trends shaping agriculture software right now.

The shifts we design for so a product launched this year is still the right product in three.

  1. 01

    Satellite imagery for every field

    Free Sentinel data and affordable commercial imagery make regular crop monitoring practical for smallholders as well as large farms.

  2. 02

    AI crop diagnosis and advisory

    Image-based disease detection and AI assistants in local languages are extending agronomy advice to farmers who never had it.

  3. 03

    Traceability and deforestation rules

    FSMA traceability requirements and the EU Deforestation Regulation are pushing buyers to demand plot-level data from suppliers.

  4. 04

    Regenerative agriculture and carbon

    Food companies are funding regenerative practices and need verified field data to measure outcomes and support carbon claims.

  5. 05

    Digital public infrastructure in India

    Government initiatives such as AgriStack are creating farmer registries and data rails that agritech products can build on.

  6. 06

    Water scarcity and smart irrigation

    In the Gulf, India and other dry regions, sensor-driven irrigation is becoming essential rather than optional.

COST AND TIMELINE

How much does agriculture software development cost?

There is no honest single number. Scope, integrations and compliance drive the budget, so we price against a written scope after discovery. The factors below are what move it.

  1. 01

    User types and apps

    A farmer app alone is smaller than farmer, agronomist and agribusiness products on one platform.

  2. 02

    Imagery and geospatial features

    Satellite processing, zone maps and prescriptions add specialist data and mapping work.

  3. 03

    IoT and machinery integrations

    Each sensor type, gateway or machinery platform adds integration and field testing effort.

  4. 04

    Offline and localisation

    Long offline periods, low-end devices and multiple languages add design and testing effort.

  5. 05

    Marketplace and payments

    Buyer matching, escrow, payments and logistics add transactional and compliance complexity.

  6. 06

    AI models

    Yield, disease and risk models need data collection, labelling, evaluation and seasonal retraining.

EngagementTypical scopeTimeline
Validation MVPOne user type and core workflow such as field records or crop monitoring, one imagery or sensor integration.10 to 14 weeks
Production platformFarmer and agronomist apps, admin console, imagery, weather and IoT integrations, traceability.4 to 7 months
Enterprise or multi-regionLarge farmer networks or multi-farm groups, marketplace, AI models and ERP integration.8 to 14 months, phased
BUSINESS MODELS

How agriculture products make money.

Revenue models we have built billing, reporting and growth loops for. Most products combine two or three.

  1. 01

    Per-hectare or per-farm subscriptions

    Tiered plans for farm management and precision tools priced by area, farm or feature set.

  2. 02

    Marketplace commissions

    Fees on produce sales, input orders or logistics booked through the platform.

  3. 03

    Enterprise licences for agribusiness

    Annual licences for processors, cooperatives and input companies managing large farmer networks.

  4. 04

    Embedded finance and insurance

    Referral or servicing fees for credit and crop insurance products underwritten using platform data.

  5. 05

    Data and advisory services

    Paid agronomy advice, yield forecasts and sustainability reports for buyers and food companies.

HOW WE DELIVER

Services behind our agriculture work

The engineering disciplines every project in this sector draws on. Each has its own page with process, stack and FAQs.

TESTIMONIALS

Don't take our word for it.

Founders and product leaders on what it is like to build with Creuto.

“They built a technically robust platform and ensured it was intuitive and accessible for investors of all levels.”

Thanks to Creuto's work, the client saw steady app growth in transactions and SIPs, full regulatory compliance, and positive user feedback. The team had excellent project management, delivered timely milestones, and communicated proactively. Creuto's understanding of the client's industry stood out.

CW

Colton Wade

CEO, Breuto

Read on Clutch

More client voices

/01 of 06

on Clutch
FAQ

Frequently Asked Questions

Straight answers about agriculture software projects. If yours is not here, ask us directly.

Ask our agriculture team

Cost depends on the user types and apps in scope, imagery and geospatial features, the sensors and machinery platforms to integrate, offline and language requirements, and whether you need a marketplace, payments or AI models. A focused MVP is a much smaller investment than a multi-region platform. After a short discovery we provide a fixed-scope proposal with a clear breakdown.

A validation MVP typically takes 10 to 14 weeks. A production platform with farmer and agronomist apps, admin console and imagery, weather and IoT integrations usually takes four to seven months. Enterprise or multi-region programmes are delivered in phases over eight to fourteen months, timed around key seasons.

Yes. We structure field, input, harvest and handling records so they support GlobalG.A.P. audits, the FSMA Produce Safety Rule and Food Traceability Rule key data elements, and buyer traceability requests. Farmer data is handled in line with GDPR, India's DPDP Act and regional laws, with clear consent controls.

Yes. We integrate Copernicus Sentinel and Planet imagery, weather APIs such as Tomorrow.io and OpenWeather, and machinery data from John Deere Operations Center, Climate FieldView and ISOBUS task files, then combine them into field-level maps, alerts and records.

Agriculture app development usually means the mobile app farmers and field officers use. Agriculture software development covers the whole system: those apps plus imagery processing, sensor ingestion, traceability, admin tools, integrations and analytics. We deliver both as one connected product.

Yes. We build offline-first apps for entry-level Android phones that store maps, forms and advice on the device, capture data without signal and sync when a connection is available, with SMS or WhatsApp fallbacks for alerts.

Yes. We build multilingual apps with simple icon-led navigation, voice input and audio advice, tested with farmers in each target region rather than translated after the fact.

Yes. We integrate soil moisture probes, weather stations, pump controllers and valves over LoRaWAN, cellular or MQTT, through AWS IoT Core or Azure IoT Hub, and build irrigation scheduling and alerts on top.

LET'S BUILD

Planning a agriculture product? Let's scope it together.

Tell us what you are building. We will help you scope it, design it, and ship it, with a senior team accountable end to end.

  • Reply within one business day
  • NDA on request
  • Senior engineers only
  • Fixed scope, no surprises