Robotics, sensors and machine learning for more efficient phenotyping

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ID
146735
Uploaded by
WIPO GREEN Admin
Type
Technology
Source
User uploads
Published
2022/08/22
Updated
2022/11/17
Email Owner
Alphabet
Prototype robots aim to gather data on crops, rolling through fields and capturing imagery of each plant. Machine learning is then used to identify traits such as leaf count, leaf area, leaf color, flower count, plant count and pod dimensions for phenotyping, normally slow and manual.
Google's parent company Alphabet has unveiled prototype robots to gather crop data. These rover robots – collectively nicknamed "Don Roverto" – measure crop traits by rolling through fields on upright pillars and capturing imagery of each plant. Machine learning is then used to identify traits such as leaf count, leaf area, leaf color, flower count, plant count and pod dimensions. This process of tracking plant characteristics and how they respond to the environment, called phenotyping, is normally slow and manual. The rover robots reportedly operate at far greater speed, frequency and accuracy than has previously been possible. For example, they have allowed researchers to observe closely the components.

Getty Images /© Ekkasit919
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