Home Page ContentPress Releases Cambridge Consultants has announced today an agritech AI-powered autonomous robotic platform that navigates orchards and fields to identify when crops are at the optimum level for picking.

Cambridge Consultants has announced today an agritech AI-powered autonomous robotic platform that navigates orchards and fields to identify when crops are at the optimum level for picking.

by Anthony Weaver
  • How does Mamut work
    • Mamut is an AI-powered autonomous robotic platform. Equipped with an array of sensors, Mamut maps and navigates its surroundings without the need for GPS or fixed radio infrastructure. As it travels the rows of a field, orchard or vineyard, cameras capture detailed crop data at the plant level, enabling accurate predictions of yield and crop health. Mamut integrates stereo cameras, LIDAR, an inertial measurement unit (IMU), a compass, wheel odometers and an on-board AI system that fuses the multiple sensor data inputs. This sophisticated blend of technologies enables Mamut to know where it is and how to navigate through a new environment, in real time.
  • Why is this needed?
    • Agriculture is under pressure to increase efficiencies, producing greater yields with fewer inputs and less labour. To meet these demands, growers need precise information on crop growth and health throughout the growing season. Automation of the data collection process is essential to providing growers with information at scale.
  • How is Mamut different?
  • Existing large-scale monitoring approaches use drones, which cannot capture information from beneath the crop canopy. Attempts to use ground-based monitoring have been limited by the requirement for additional infrastructure, such as cabling or radio beacons.

Niall Mottram, Head of Agritech, Cambridge Consultants commented: “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. AI systems are already being used to understand crop conditions, yield predictions and to enable weed identification, but our autonomous robotic platform can collect valuable and granular data below the canopy, where drones cannot see. This data enables farmers to treat each plant in their vineyard, orchard or field individually, and on the scale of massive industrial farming, optimizing yields and producing more output with less input.”

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