Our service automates pollination and digital phenotyping with drones and AI.
Autonomous Pollination
Contactless pollination method
Our proprietary method, Aerodynamically Controlled Pollination, pollinates self-fertile crops without contact by exploiting the downwash of drones that is designed for to optimally vibrate flower clusters.
Industry-defying user experience
We are setting a new bar for a delightful experience for workers to deploy our solution with nothing more than a phone app and a reliable fleet of off-the-shelf drones.
Fully autonomous navigation
Once the system is initiated, our users can carry on with their day without the need for monitoring the drones. Our approach eliminates labor and ensures consistency, offering a hassle-free experience.
Current pollination methods bring risk to grower's profitability.
Limited availability of natural pollinators
Pollinator activity typically declines during winter periods, and certain regions of the world, such as Australia, face challenges in accessing natural pollinators.
Labour availability and cost
Over the past few years, there has been a decline in the availability of labor, coupled with a rise in labor costs. For instance, the annual cost of manually pollinating one hectare of crops in Australia is up to $40,000.
Risk of disease transmission
The use of contact-based pollination methods, combined with the increased movement of workers in and out of glasshouses for pollination work, heightens the risk of disease transmission, such as ToBRFV.
Digital Phenotyping
Unmatched accuracy
Our proprietary AI pipeline delivers unprecedented detail and accuracy in measuring critical plant traits.
High throughput
Our pioneering high throughput, on-plant phenotyping solution leverages off-the-shelf platforms such as drones and smartphones.
Integrated Dashboard
Redirect your attention on synthesizing comprehensive, fruit-level measurements to maximize your profitability.
Bottlenecks with current solutions
Manual data collection
Current data collection methods are manual, time consuming and subjected to inaccuracies and large variances across different workers.
Inaccurate yield prediction
Inaccuracies in current yield prediction methods result in downstream challenges for growers and breeders when making decisions regarding pricing and line selection.
Data accessibility and uniformity
There is a massive dearth of scalable, high throughput phenotyping and crop registration solutions wherein data is remotely accessible and is collected with consistent procedures.
Recognition
Global Top 100 Finalist - 2019
Global Top 4 Finalist - 2021
Global Top 4 Finalist - 2021
