ABOUT US
About Us
MEC TEC is a UAE-based agri-tech company dedicated to revolutionizing modern farming through advanced robotics and intelligent systems. We integrate IoT, AI, blockchain, big data, and cyber-security into a unified smart agriculture platform designed to drive productivity, sustainability, and data-driven decision-making across the entire agricultural value chain.
MEC TEC
What We Do
01
Build AI-enabled greenhouse automation solutions.
02
Provide inspection, harvesting and logistics robots.
03
Provide smart seedling and grafting systems.
04
Deliver digital agriculture platforms with secure data flows.
SOME INSIGHTS
Our Mission & Vision
Empower farmers
Deploying AI-driven robots to automate labor and deliver real-time predictive insights, enabling farmers to make precision decisions that boost yields and reduce operational costs sustainably.
Restore ecosystems
Designing soil-positive robots that minimize chemical use, optimize water efficiency by up to 50%, and actively regenerate farmland biodiversity through closed-loop resource management systems.
Secure global harvests
Using climate-resilient robotics to buffer against droughts, pests, and extreme weather, ensuring stable food production for vulnerable communities despite environmental volatility.
Autonomous Yield Optimization
Robotic harvesters utilize real-time crop ripeness mapping via 3D vision, prioritizing individual plant maturity. AI algorithms optimize unit routing to minimize field compaction and synchronized harvesting.
Our Values
We pioneer intelligent robotics and AI systems to transform global farming through technological innovation.
Our Staff
Our team of robotics engineers, and data specialists pioneers intelligent solutions that redefine farming.
FUTURE
The Next Green Revolution
Precision Planting & Crop Monitoring
Autonomous ground units deploy multi-spectral scanning and subsoil topology mapping to optimize seed placement depth and spacing. Real-time microclimate adaptation ensures every plant achieves maximum photosynthetic potential across vast terrains.
AI-Powered Disease Detection
Embedded hyperspectral vision sensors analyze leaf epidermis reflections and root zone microbiomes. Machine learning models cross-reference pathogen signatures with historical ecosystem patterns, triggering targeted interventions before visible symptoms manifest.
Autonomous Irrigation Systems
Self-calibrating robots integrate distributed soil moisture sensing with evapotranspiration forecasting. Closed-loop networks autonomously recalibrate water distribution every 90 minutes based on crop stress indicators and impending weather shifts.