A Journal of Oil Palm Research review by Teoh Kean Hao and Lai Nai Shyan maps six areas for autonomous harvesting: ripeness detection, cutting, climbing, manipulator planning, localisation, and navigation with obstacle avoidance. Published online in January 2024, it is a research review rather than a catalogue of ready machines.
Solving one of these tasks does not demonstrate end-to-end harvesting. A useful prototype must also handle variation in trees, visibility, terrain and the movement of the cut bunch.
Separate the project into measurable stages. Start by evaluating detection on representative trees, with experienced workers checking the results. Define later cutting and handling trials independently rather than treating a promising perception demo as proof of a complete harvesting system.
Original sources
Source summaries and application analysis by COCON. Pilot ideas are proposals, not claims of completed COCON projects or confirmed product availability.
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