Cyclair develops an autonomous weeding solution that utilizes artificial intelligence and mechanical tools to eliminate weeds both between and within crop rows. This technology enhances crop protection and yield while significantly reducing the need for chemical herbicides.
Funding
$2.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Farmers face increasing challenges with weed control, including herbicide resistance, labor shortages, and environmental concerns related to chemical use. Traditional weeding methods are often time-consuming, costly, and can negatively impact soil health and crop yields.
Solution
Cyclair develops autonomous weeding solutions leveraging AI and mechanical tools to eliminate weeds both between and within crop rows. Their robotic rover, controlled by onboard AI, navigates fields, identifies weeds using 3D vision systems, and precisely removes them with mechanical tools, minimizing impact on crops. The system offers a comprehensive approach to weed management, reducing reliance on chemical herbicides while improving crop protection and optimizing resource utilization. By automating the weeding process, Cyclair aims to alleviate labor constraints and promote sustainable agricultural practices.
Target Audience
Cyclair's primary customers are farmers and agricultural businesses focused on large-scale cultivation seeking to reduce herbicide use, optimize labor, and improve crop yields through autonomous weeding solutions.
Features
- 3D vision systems for accurate environmental modeling and weed identification
- Embedded AI for adaptive navigation and precise weeding operations
- Mechanical weeding tools for complete removal of weeds in inter-row and intra-row spaces
- Electric or thermal motorization options for adaptable autonomy in large-scale cultivation
- Redundant safety systems to protect people and property
- Connectivity for continuous monitoring and data collection