Polybee

Forecasting Yield & Harvest Readiness

Polybee has expanded its advanced yield forecasting technology to cater to both open-field and protected cropping systems. By leveraging AI-powered image analysis and data-driven models, we provide accurate, scalable, and real-time yield predictions that help optimize harvest planning and resource allocation across diverse growing environments.

Open-field Yield Forecasting

By leveraging advanced image analysis and machine learning models, we provide growers with accurate leaf size or stand count, crop health assessments, and yield predictions—helping optimize harvest planning, reduce waste, and maximize productivity in spinach and broccoli crops.

AI- Powered Harvest Readiness & Stress Detection 

3D digital twin with centimeter-level accuracy 

More than 100k fully visible leaves sampled per row for measurements with >90% accuracy in measurement

Data collection is conducted at regular intervals with drones to ensure consistent and reliable insights. The collected data is then processed and visualized on an interactive dashboard, allowing users to track trends, monitor crop health, and analyze yield forecasts over time. 

Yield Forecasting in Protected Cropping

By combining high-resolution imaging, machine learning models, and automated data analysis, we provide insights into fruit count, size distribution, and growth trends. This enables growers to optimize harvest planning, improve resource efficiency, and enhance yield predictability, ensuring better decision-making for controlled environment agriculture.

3D reconstruction with cm-level resolution

Gain in-depth insights into each fruit's shape and size with less than 4 mm error on fruit dimensions by interacting with the digital twin of the plant. Precise estimates on fruit weight (g) and plot yield (kg) allow you to confidently track and forecast crop yield.

Integrated Solution

Integrating Autonomous Pollination and Yield Forecasting

Increase optimizing productivity through simultaneous pollination and data collection. This dual-functionality enhances efficiency, reduces operational time, and provides actionable insights into fruit set, plant health, and expected yields.

Phenobee Dashboard

With our user-friendly dashboard, users can effortlessly delve into each plot's data, analyze time series, and compare metrics such as yield and cluster count across multiple plots.

Autonomous Pollination

Aerodynamically Controlled Pollination

Polybee’s solution incorporates aerodynamically controlled pollination (ACP), a proprietary contactless mechanism for self-pollination, using off-the-shelf drones.

We apply our in-depth understanding of the fluid-structure interaction between airflow, mechanical properties of flowers, and the efficacy of pollination as a result of the vibratory motion.

Our proprietary mechanism is patent-pending in strategic markets.

Slow-motion footage capturing the vibrations of tomato flowers in response to the drone's downwash.

Significantly reduce risk of disease transmission 

Due to contactless pollination method, any risk related to disease transmission, for example toBFRV as a result of mechanical friction, reduces significantly. 

Additionally, autonomous pollination ensures uniform performance throughout the year which is lacking in natural pollinators in colder seasons. 

Autonomous Solution

Our technology stack is fully autonomous and provides a delightful user experience that addresses the key pain points of crop workers. With just a few clicks on the app, pollination operations can be initiated.

Drone flying and hovering autonomously over tomato plants.