Mamut agritech robot captures crop data autonomously

The robot’s sensor suite includes stereo cameras, LIDAR, an inertial measurement unit (IMU), a compass, wheel odometers and an onboard AI system that collates all of the input data. This combination of technologies allows Mamut to navigate autonomously and map unstructured environments (simultaneous localisation and mapping, or SLAM) without the need for GPS or the fixed radio infrastructure used by other agritech systems.

According to Cambridge Consultants, automating the capture of crop data from the field provides farmers with more reliable and actionable information, improving efficiency and increasing yields. Data capture on a mass scale is largely undertaken by drones, but this method can lack accuracy for many crops that are hidden beneath a canopy. Autonomously travelling through fields allows Mamut to inspect and analyse individual crops from close range.

“Mamut is a practical application of AI, meeting a real and pressing need, particularly for growers of specialty crops where failure carries a high cost,” said Niall Mottram, head of Agritech at Cambridge Consultants.