Agriculture & AgriTech

Build agriculture technology for seamless operations under growing pressure

We help agribusinesses and AgriTech teams connect field, supply chain, and operational workflows so they can manage production demands with better visibility.

OUR CLIENTS

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Manual workflows make agriculture operations harder to scale

Farming and agribusiness teams need better visibility across field activity, inventory, supply chain records, compliance documentation, and operational workflows.

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01.

Disconnected field and business systems

Farm activity, inventory, procurement, labor, equipment, and supply chain records often live across separate tools. Without connected workflows, teams spend more time reconciling information and less time managing operations.
02.

Field insights without context

Soil samples, satellite imagery, weather data, yield maps, scouting notes, and irrigation logs often live in separate systems. Without a connected farm management layer, agronomists and farm managers may make decisions with an incomplete view.
03.

Manual traceability and compliance documentation

Farm-to-market traceability becomes harder to manage when lot tracking, harvest records, input applications, and cold chain documentation are handled manually. As food safety, retailer, and certification requirements grow, paper-based processes increase reporting effort and audit preparation burden.
04.

Livestock and operational visibility gaps

Livestock, equipment, labor, and field activity data can be difficult to track across distributed operations. Without connected systems, teams may struggle to monitor animal health, resource use, productivity, and compliance documentation consistently.

AgriTech solutions for smarter operations

Precision agriculture

Precision agriculture

Unified farm management platforms connect IoT soil sensors, satellite imagery, drone field data, GIS mapping, and weather intelligence into one agronomic decision layer. Farm teams get the visibility needed for variable rate application, irrigation scheduling, crop stress detection, and yield forecasting across large-scale operations.

IoT & smart farming infrastructure

IoT & smart farming infrastructure

IoT-enabled infrastructure brings sensor networks, automation systems, and real-time monitoring into the field. From irrigation and climate control to soil health and livestock operations, these systems support faster decisions with edge computing capabilities for low-connectivity environments.

Supply chain traceability & compliance

Supply chain traceability & compliance

Supply chain platforms connect harvest records, lot tracking, cold chain monitoring, and compliance documentation into one audit-ready system. Agribusinesses get the transparency needed to support GlobalG.A.P., FSMA, ISO 22000, retailer requirements, and farm-to-market traceability.

Livestock management systems

Livestock management systems

Connected livestock platforms bring health tracking, feeding schedules, breeding management, and welfare monitoring into one system. Built with IoT sensors, ML-driven disease prediction, and automated alerts, they help improve feed conversion, reduce mortality, and keep compliance records current.

Predictive analytics & yield intelligence

Predictive analytics & yield intelligence

ML models trained on yield history, soil samples, weather patterns, and satellite imagery generate crop-specific forecasts, pest and disease risk scores, and input optimization recommendations. Agronomists and farm managers get the data foundation needed to make better precision agriculture decisions.

Sustainability & ESG reporting automation

Sustainability & ESG reporting automation

Automated platforms track carbon footprint, water use, chemical applications, and biodiversity impact across agricultural operations. They replace manual sustainability documentation with system-generated disclosures for organic certification, carbon credit programs, and retailer sustainability requirements.

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Custom digital solutions for scaling agricultural operations

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Farming operations

Farms and agribusinesses managing multiple crops, locations, and growing cycles need systems that keep field activity, crop planning, irrigation, scouting, labor, and equipment workflows connected. We build farm management software that helps teams coordinate daily operations, capture field data more consistently, and make operational decisions with better visibility.

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Livestock & aquaculture operations

Livestock and aquaculture operators need reliable ways to manage animal health records, feeding schedules, breeding cycles, production data, welfare monitoring, and compliance documentation. We build connected platforms that bring these workflows into one operating environment, helping teams reduce manual tracking and improve visibility across distributed operations.

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AgriTech platforms

AgriTech companies building grower-facing products need software that works in real field conditions, not just controlled digital environments. We support farm management apps, advisory platforms, ag marketplaces, IoT integrations, analytics tools, and mobile-first field experiences designed around growers, agronomists, cooperatives, and agribusiness users.

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Agribusiness supply chain

Agribusinesses, cooperatives, processors, distributors, and ag input suppliers need clearer visibility across harvest records, inventory, procurement, lot tracking, cold chain documentation, and compliance workflows. We build supply chain and traceability systems that help teams manage farm-to-market movement with stronger documentation and fewer disconnected handoffs.

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How we deliver scalable manufacturing technology solutions

01
Discover & assess

Discover & assess

We evaluate your agricultural workflows, field operations, data flows, existing systems, compliance needs, and integration dependencies. This helps us identify operational priorities, technical constraints, manual process gaps, and areas where technology can better support farm, livestock, supply chain, or AgriTech workflows.

Deliverables: Workflow review summary, system landscape notes, integration considerations, initial delivery observations.

02
Plan & Strategise

Plan & Strategise

We define the solution approach, delivery roadmap, architecture direction, and implementation priorities based on your operating model, existing technology environment, field conditions, seasonal workflows, and business goals.

Deliverables: Delivery roadmap draft, architecture direction notes, integration approach summary, implementation planning notes.

03
Design & build

Design & build

We design, develop, configure, or extend agriculture technology solutions across farm management, field workflows, livestock operations, supply chain traceability, IoT integrations, data platforms, and reporting workflows.

Deliverables: Solution design notes, workflow or feature drafts, integration documentation, progress review materials.

04
Validate & refine

Validate & refine

We test functionality, data movement, integrations, mobile usability, security considerations, and operational workflows before rollout. The solution is reviewed against agreed business and technical requirements so issues can be addressed before wider adoption.

Deliverables: QA notes, workflow validation summary, issue log, refinement recommendations.

05
Deploy, support & improve

Deploy, support & improve

We support rollout, gather operational feedback, monitor system behavior where applicable, and identify improvement areas after launch. This helps the solution continue supporting seasonal needs, field conditions, user workflows, and changing business requirements.

Deliverables: Rollout support notes, monitoring observations, user feedback summary, improvement backlog.

From farm management and livestock systems to traceability and IoT, build a practical technology roadmap around your field conditions, seasonal workflows, and compliance requirements.

800+ engineers on board. Ready to build your agricultural technology stack.

Delivering scalable, integration-ready software for agribusinesses, AgriTech platforms, and farming operations.

18 +

Years in agriculture and AgriTech software engineering

73 %

Of clients return for long-term partnerships

10

Years launching and building AI products

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GLOBAL OFFICES

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Partnered with the world’s top cloud providers

aws

As an AWS partner, we apply AWS best practices for secure architectures, performance optimisation, and cost efficiency. We also leverage AWS programs and tooling to streamline modernisation and reduce operational overhead.

microsoft

Our Microsoft partnership gives you access to Azure best practices, optimisation frameworks, enterprise licensing benefits, and cloud adoption programs that accelerate transformation while maintaining financial control.

google cloud partner

We bring deep experience across GCP’s native services, cost governance capabilities, and security controls to help you standardise operations and achieve consistent optimisation across distributed environments.

Build agriculture technology around real field and business needs.

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“tkxel completely transformed the way we manage our customer relationships. Their customized CRM system streamlined our processes and improved customer satisfaction. We highly recommend their services to any business looking for real results.”

Nick Drogo

Nick Drogo

Global Director IT, Knowles

“They helped us build a docketing app with an intuitive user interface, allowing our attorneys to track over 10,000 U.S. and international patent systems.”

Robert K Burger

Robert K Burger

COO, Sterne Kessler

“tkxel has proven beyond par that they excel not just in building and integrating with our team but building at a level that is at par with any US development team. Working with tkxel is one of the best decisions we have made.”

Umair Bashir

Umair Bashir

CTO, Replenium

“tkxel shared our vision right from the get go, and helped us achieve the unthinkable through perseverance and a thorough attention to detail. Their team was highly professional and possessed a firm grasp on technicalities, a combination that is hard to find in the industry.”

Pam Chitwood

Pam Chitwood

Product Manager, ABB

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“tkxel completely transformed the way we manage our customer relationships. Their customized CRM system streamlined our processes and improved customer satisfaction. We highly recommend their services to any business looking for real results.”

Nick Drogo

Nick Drogo

Global Director IT, Knowles

“They helped us build a docketing app with an intuitive user interface, allowing our attorneys to track over 10,000 U.S. and international patent systems.”

Robert K Burger

Robert K Burger

COO, Sterne Kessler

“tkxel has proven beyond par that they excel not just in building and integrating with our team but building at a level that is at par with any US development team. Working with tkxel is one of the best decisions we have made.”

Umair Bashir

Umair Bashir

CTO, Replenium

“tkxel shared our vision right from the get go, and helped us achieve the unthinkable through perseverance and a thorough attention to detail. Their team was highly professional and possessed a firm grasp on technicalities, a combination that is hard to find in the industry.”

Pam Chitwood

Pam Chitwood

Product Manager, ABB

Frequently asked questions

What is agriculture software development? faq faq

Agriculture software development involves building and modernizing digital systems for farms, agribusinesses, cooperatives, livestock operators, and AgriTech companies. Solutions can include farm management platforms, IoT integrations, supply chain traceability, livestock systems, mobile field applications, analytics, and AI-powered forecasting tools.

What is farm management software? faq faq

Farm management software helps agricultural teams manage crop planning, field activity, irrigation, scouting, labor, equipment, inventory, and production records in one system. It can also connect field data from sensors, weather services, GIS platforms, and other agricultural technologies to improve operational visibility.

How is AI used in agriculture and AgriTech? faq faq

AI can support agriculture through yield forecasting, crop and disease risk analysis, irrigation planning, livestock monitoring, demand prediction, and input optimization. Machine learning models can combine historical, environmental, operational, and sensor data to help farm teams identify patterns and make more informed decisions.

How does IoT support smart farming and precision agriculture? faq faq

Agricultural IoT systems use connected sensors and devices to capture data on soil conditions, weather, irrigation, equipment, livestock, and other field activity. When this data is integrated with farm management software, teams can monitor conditions more closely and automate selected operational workflows.

What is precision agriculture software? faq faq

Precision agriculture software combines field data, GIS mapping, satellite imagery, IoT sensors, weather information, and analytics to support more targeted farming decisions. It can help teams manage irrigation, variable-rate applications, crop health, field scouting, and yield planning based on conditions at specific locations.

How can AI improve crop yield forecasting? faq faq

AI and machine learning can analyze historical yields, soil data, weather patterns, satellite imagery, crop conditions, and other variables to generate more detailed production forecasts. These insights can help agronomists and farm managers plan inputs, labor, harvesting, storage, and downstream supply chain activity.

What is agricultural supply chain traceability software? faq faq

Agricultural traceability software tracks products and related records as they move from farm to processor, distributor, retailer, or other downstream destinations. It can connect harvest records, lot information, inventory, cold chain data, input applications, and compliance documentation to provide clearer farm-to-market visibility.

How can software improve livestock management? faq faq

Livestock management software can centralize animal health records, feeding schedules, breeding data, welfare monitoring, production information, and compliance documentation. IoT sensors and analytics can also help operators monitor distributed herds and identify changes that may require attention.

Can agriculture software work in areas with limited connectivity? faq faq

Yes. Agricultural applications can be designed with mobile-first and offline capabilities that allow users to capture field data when reliable connectivity is unavailable. Data can then synchronize with central systems when a connection becomes available, while edge computing can support selected IoT and automation use cases locally.

How can agribusinesses modernize legacy agricultural systems? faq faq

Agribusinesses can modernize legacy systems in phases by introducing APIs, mobile applications, cloud infrastructure, integration layers, analytics, IoT connectivity, and workflow automation. This approach allows teams to improve specific farm, livestock, supply chain, or reporting workflows without replacing every existing system at once.

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