Coordinated Onsite-Offshore Delivery for Precision Agriculture
A Canada-based precision agriculture provider needed to launch a data-driven farming platform within six months, integrating analytics, mobile apps, and field hardware. CES supported delivery through a coordinated onsite–offshore model, building web and mobile applications, data pipelines, and automated testing to accelerate release while balancing cost, quality, and scalability.
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The Challenge
Six-month launch timeline with evolving requirements
Limited offshore delivery experience within onsite teams
Complex integration across data, UX, and field hardware
the client
Agriculture (Precision Agriculture)
Technology Stack
- React.js
- React Native
- Python
- Django
- Selenium
- Hadoop
- Hive
- R
Solution Area
- Application Development & Testing
the impact
Faster six-month platform launch
Cost-effective onsite–offshore delivery
Integrated web, mobile, data, and hardware workflows
Scalable precision-agriculture foundation
Build-and-test-led delivery.
Faster progress with fewer surprises.
The Need
An offshore engineering partner to work alongside the onsite team to deliver a precision agriculture platform within a six-month timeline. The solution had to support data-driven workflows and integrate web, mobile, data, and hardware systems at scale.
Challenges
- Offshore delivery readiness on the onsite side: Onsite project managers had limited experience coordinating offshore delivery, which introduced execution risk across sprints and handoffs.
- Requirements maturity gaps: Requirements and acceptance criteria were not fully documented, creating ambiguity in scope validation and test planning.
- Complexity across data, UX, and integration: The platform demanded big-data processing support, responsive web and mobile experiences, real-time visibility, and integration of hardware sensors, data stores, and mobile workflows.
- Web and mobile application delivery: Built web experiences using React.js and cross-platform mobile workflows using React Native to support multi-device access.
- API layer and integration services: Delivered Python/Django services to support reliable communication between hardware and software components.
- Data engineering and analytics development support: Provided support using Hadoop, Hive, Python, and R for pipeline and data-processing needs tied to precision agriculture workflows.
- QA automation + CI/CD support: Implemented Selenium automation for repeatable regression and added CI/CD support to keep build-test cycles consistent through releases.
- Supported better farming practices through platform-led decision workflows
- Improved resource optimization through consolidated data visibility
- Delivered a scalable platform base aligned to long-term growth
- Accelerated delivery through a coordinated onsite-offshore execution model
- Reduced friction in validation through automation-first testing
strategic client partner
Take the Next Step
If you’re building a precision agriculture platform that must connect apps, data, and field hardware under tight deadlines, we can deliver the engineering + testing muscle to move faster with confidence. Talk to our Strategic Client Partner
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