Problem

Tree-based agriculture faces increasing labour shortages, high operational costs, and significant safety risks associated with manual tree climbing. Existing solutions are often task-specific, expensive, or lack intelligent capabilities, limiting their scalability and long-term value.

Proposed Solution

COCOI is a concept-stage AI-enabled modular tree robotics platform being developed by Orvel Technologies to automate harvesting, inspection, and plantation intelligence. The platform is envisioned as an adaptive climbing system capable of supporting interchangeable payloads, enabling a single robotic platform to perform multiple agricultural operations while improving safety and productivity.

Planned Technical Features

• Adaptive climbing architecture for varying tree trunk sizes.
• Modular payload interface for harvesting, inspection, sensing, and future maintenance applications.
• AI-assisted navigation and intelligent control.
• Camera and multi-sensor integration.
• Obstacle detection and operational safety.
• Tree health imaging and plantation analytics.
• Scalable platform architecture for future agricultural automation.

Initial Target Market

• Coconut plantations.
• Farmer Producer Organizations (FPOs).
• Agricultural cooperatives.
• Plantation owners and agricultural service providers.

Future Scope

Following prototype validation in coconut plantations, COCOI is intended to expand to other tree-based crops such as arecanut and palmyra while supporting applications including plantation monitoring, precision agriculture, agricultural inspection, and intelligent farm analytics.