With Two AgriTech Breakthrough Platforms Built Entirely by VE—iNeta and iSurf
Singapore’s Food Security Mission needed smart farming, because manual irrigation and plant monitoring were holding back the country’s ability to grow more food locally.
Netatech saw both a challenge and a calling. They chose to lead by bringing embedded systems and robotics into everyday farming—because doing good business and doing the right thing didn’t have to be separate goals. In fact, in this case, they were the same.
Smart farming means fixing the two biggest blockers to local food production: In the field, static watering schedules led to zero control over water usage. In hydroponic labs, plant health was still being monitored manually, making high-frequency monitoring nearly impossible.
Netatech needed real-time systems that could adapt and operate with near-zero supervision.
To solve Singapore’s most persistent AgriTech challenges, Netatech needed more than just extra hands—they required an R&D partner with a deep technical range. That’s where VE stepped in.
From system architecture to device integration and cloud optimization, VE worked as an extension of Netatech’s core team, remotely but tightly aligned. Our senior developer, Ashwani, built two purpose-built platforms — Neta and iSurf —to meet the growing demand for intelligent, resilient farming systems.
Together, these systems form the foundation of Netatech’s approach to regenerative agriculture—scalable and AI-powered.
Traditional irrigation systems rely on guesswork and offer little visibility, especially in remote or multi-zone environments. Netatech needed a smarter way to manage distributed irrigation at scale. Static watering schedules couldn't respond to rainfall. Faults like leaks or no-flow conditions went undetected for too long. And managing multiple zones across projects was cumbersome without a central, real-time interface.
iNeta addresses all of this by delivering intelligent irrigation management that adapts, alerts, and optimizes water use in real time—without human micromanagement.
In high-frequency research environments like hydroponic labs, manual plant checks are slow, inconsistent, and prone to human error. Researchers need precise, repeatable monitoring that doesn’t interrupt plant growth—and scales far beyond what human hands can manage.
iSurf fills this gap with applied robotics built for plant-level care. Designed to work like a dedicated lab technician—with more consistency and zero fatigue—it autonomously scans each plant using a multi-sensor payload and delivers clean, structured data that supports disease detection, stress analysis, and AI training pipelines.
The Result
Achieved by iNeta in field conditions with MQTT offline sync.
Supported through iNeta’s scalable, serverless architecture built on AWS.
Reduction in cloud costs after post-deployment backend optimization.
Average valve response time on iNeta for real-time irrigation control.
Research workflows accelerated by iSurf’s AI-ready data pipeline.
RGB, 3D, thermal & hyperspectral imaging with sub-second sync.
“Ashwani delivered two transformative platforms that exceeded our expectations for reliability and technical sophistication. His innovative work boosted our data processing speed by 40% while working remotely. We’re extremely satisfied and already planning Phase Two on this strong foundation.”
David Tan
CEO, Netatech Engineering, Singapore