Blockchain Crop Assurance and Localisation

Clawson, Garry and Fox, Charles (2022) Blockchain Crop Assurance and Localisation. In: The 5th UK Robotics and Autonomous Systems Conference, 26 Aug, 2022, Aberystwyth, UK.

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Blockchain Crop Assurance and Localisation
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Abstract

Food supply chain assurance should begin in the field with regular per-plant re-identification and logging. This is challenging due to localisation and storage requirements. A proof-of-concept solution is provided, using an image-based, super-GNSS precision, robotic localisation per-plant re-identification technique with decentralised storage and blockchain technology. ORB descriptors and RANSAC are used to align in-field stones to previously captured stone images for localisation. Blockchain smart contracts act as a data broker for repeated update and retrieval of an image from a distributed file share system. Results suggest that localisation can be achieved to sub 100mm within a time window of 18 seconds. The implementation is open source and available at: \url{https://github.com/garry-clawson/Blockchain-Crop-Assurance-and-Localisation}

Keywords:blockchain, robotics, Agriculture
Subjects:H Engineering > H671 Robotics
D Veterinary Sciences, Agriculture and related subjects > D400 Agriculture
Divisions:College of Science > School of Computer Science
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ID Code:50385
Deposited On:23 Aug 2022 13:07

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