Data-driven farming to sustainably feed the world

By 2050, the demand for food is expected to outpace production by over 70 percent. Farmers need access to better data on their lands in order to maximize efficiency and yield, while reducing environmental impact. However, gathering data from farms is difficult due to low technology adoption rates by farmers, especially in the developing world where access to technology is often limited.

FarmBeats uses Microsoft’s machine learning algorithms along with low-cost sensors, drones, and other data to deliver actionable insights to farmers. We believe that data, coupled with the farmer’s knowledge about his or her farm, can help increase farm productivity while reducing environmental impact and out-of-pocket costs.

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Microsoft Azure and AI technologies enable farmers to improve yields, lower costs, and reduce the environmental impact of farming

1a. SOIL SENSORS > 1b. TYE BALLOONS > 1c. DRONES > 2. LOCAL FARM COMPUTER > 3. WHITE SPACE > 4. AZURE > 5. HEAT MAP > 6. FARMER

1a. SOIL SENSORS
Solar-powered soil sensors gather moisture, soil chemistry, and temperature data

1b. TYE BALLOONS
Low-cost Tethered Eye helium balloons continuously stream images and video of the farm to the Azure IoT Edge in places where drones are not permitted

1c. DRONES
Autopilot drones gather aerial imagery (visible and multi-spectral)

2. LOCAL FARM COMPUTER
Windows 10 and Azure IoT enables computations and AI at the FarmBeats Edge locally on a PC

3. WHITE SPACE
Unlicensed, long-range and low-cost TV White Space radios connect sensors and capture data

4. AZURE
Machine learning (ML) algorithms integrate sensor data with aerial imagery and crop predictions

5. HEAT MAP
Algorithms process data to create a detailed heat-map of the field

6. FARMER
Heat map data is sent to farmer who applies insight to increase efficiency and conserve resources

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