Naïo Technologies Ted — Specs & Review

Specifications

BrandNaïo Technologies
ModelTed
Year2018
CategoryAgricultural, Inspection
Autonomyfully-autonomous
Environmentoutdoor
Price (USD)$50000–$75000
Weight600 kg
Dimensions200cm L × 60cm W × 140cm H
ConnectivityWiFi, Cellular
Country of originFR

Key features

What is it?

Naïo Technologies Ted is the leading autonomous vineyard weeding robot — computer vision-guided between-vine navigation for mechanical weed control in commercial wine grape production.

Who is it for?

Key specs

Limitations

FAQ

How much does the Naïo Technologies Ted cost?

The Naïo Technologies Ted is priced in the range of $50,000 to $75,000, making it a significant investment for commercial vineyards looking for autonomous solutions.

What is the Naïo Technologies Ted used for?

The Naïo Technologies Ted is designed for autonomous mechanical weeding between vines in commercial vineyards, utilizing GPS and computer vision to detect individual vine trunk positions without causing damage.

Who is the Naïo Technologies Ted for?

The Naïo Technologies Ted is targeted at commercial wine estates, organic vineyards seeking herbicide-free solutions, and wine producers in labour-scarce regions such as France, Spain, and Switzerland.

What are the key specifications of the Naïo Technologies Ted?

The Naïo Technologies Ted weighs approximately 600 kg, features fully-autonomous navigation, and has a row clearance of 60 cm to effectively manage weed control in standard vineyard spacing.

How does the Naïo Technologies Ted compare to traditional manual weeding methods?

Unlike manual weeding methods, which are labour-intensive, the Naïo Technologies Ted autonomously navigates vineyard rows and performs targeted weeding, offering a more efficient solution particularly in high-value viticulture with potential labor shortages.

What are the limitations of the Naïo Technologies Ted?

The Naïo Technologies Ted is specifically designed for vineyards and is not adaptable to other crops. Additionally, its weight may limit deployability on steep slopes and adequate lighting is required for its computer vision system to function effectively.