Our Technology
We design and build the systems that power our products. Our robotics, computer vision, and cloud analytics technology helps farms operate smarter and more efficiently.
Autonomous picking capabilities, providing your farm with an extra hand.
We can train computer vision models on a range of fruits, providing opportunities in many farm operations.
Technology Overview
Core Features
MFIT (Multi-Feature Inference Testing)
Advanced AI system that simultaneously analyses multiple crop characteristics including ripeness, size, quality, and optimal harvest timing for maximum efficiency.
ODIS (Object Detection Image Sorting)
Real-time computer vision technology that identifies, classifies, and sorts data automatically, ensuring consistent quality standards.
AI & Computer Vision
Deep Learning Models
Neural networks trained on millions of agricultural images to recognize patterns and make intelligent decisions.
Real-time Processing
Edge computing capabilities that process visual data instantly without requiring cloud connectivity.
3D Depth Mapping
Advanced depth sensors create detailed 3D maps of crops and environments for precise navigation and analysis.
Robotics Platform
Autonomous Navigation
GPS and sensor-guided movement through complex agricultural environments with obstacle avoidance.
Precision Manipulation
Gentle robotic arms designed specifically for delicate fruit handling and harvesting operations.
Weather Resistance
IP67-rated components built to operate reliably in harsh outdoor agricultural conditions.
Data & Analytics
Yield Prediction
Machine learning algorithms analyse crop health and growth patterns to accurately forecast harvest yields weeks in advance.
Quality Analytics
Automated quality assessment that tracks fruit condition, ripeness levels, and defects for optimal sorting decisions.
Performance Monitoring
Real-time tracking of operational metrics including harvest rates, equipment efficiency, and resource utilization.
Cloud Integration
Secure cloud platform for data storage, remote monitoring, and integration with existing farm management systems.
Frequently Asked Questions
Multi-Feature Inference Testing (MFIT) is our AI system that simultaneously analyses multiple characteristics of crops and fruits. It evaluates ripeness, size, quality, and optimal harvest timing in real-time, dramatically improving detection accuracy and operational efficiency.
Object Detection Image Sorting (ODIS) is our advanced computer vision technology that identifies, classifies, and categorizes produce in real-time. It automates quality control and sorting processes, reducing manual labor while maintaining consistent grading standards.
MFIT provides the intelligent analysis while ODIS handles the physical sorting and categorisation. This integrated approach ensures maximum efficiency from field to packaging.
Our systems are built for 24/7 agricultural operations with enterprise-grade reliability. Extensive field testing ensures consistent performance across diverse farming environments and weather conditions.
Technologies We Use
Intel RealSense
Advanced depth sensing technology
PyTorch
Machine learning framework
Roboflow
Computer vision platform
ROS
Robot Operating System
Ultralytics
YOLO object detection
Interested in How Our Technology Works?
Get a detailed demonstration of our MFIT and ODIS systems, and discover how our robotics can transform your agricultural operations.
Quick Response
We'll get back to you within 24 hours
Proven Technology
Field-tested and enterprise-ready
Global Support
Worldwide deployment and maintenance