PowerPollen has introduced an autonomous, AI-enabled ground fleet for large-scale seed and grain crop pollination. The patent-pending system was unveiled at a live field demonstration and is designed to integrate with the company’s end-to-end pollination platform.
What’s New
The unmanned ground vehicles combine machine vision with precision pollen application to optimize distribution at the plant level. According to the company, the approach can deliver up to double the yield using less than half the pollen compared with traditional hand or mechanical methods.
How It Works
- Autonomous fleets: Units operate row-by-row in coordinated formations and can be deployed and monitored by a single field operator.
- AI field vision: Onboard perception targets pollen precisely where needed to support consistent kernel set.
- Precision application: Spraying is tuned to silk-level placement to reduce waste and improve efficacy.
- Battery-powered platform: Extended runtime with a compact footprint to limit soil compaction and canopy disturbance.
Data and Insights
The system’s AI and data-capture capabilities provide growers with in-field performance insights while pollen is applied. This supports immediate decision-making during the pollination window and contributes data for longer-term breeding and agronomic improvements.
Part of an End-to-End Pollination Platform
The new application system is built to work with PowerPollen’s platform across collection, long-term preservation, in-field scouting, and timed application. The connected workflow is intended to maintain pollen viability, enable precise delivery, and make performance data actionable at commercial scale.
Scalability and Deployment
PowerPollen states the architecture is designed for a wide range of environments—from smallholder fields to large commercial operations—supported by compact hardware for easier transport between sites.
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